Abstract: A method for facilitating automated management of computing metrics is disclosed. The method includes aggregating, via an application programming interface, unstructured data from various computing components, the unstructured data including application log data; parsing the unstructured data to generate structured data sets, each of the structured data sets including textual data; extracting time series data from the structured data sets, the time series data relating to performance metrics of the computing components; generating, by using a model, a summary of the textual data in the structured data sets; correlating, by using the model, the summary of the textual data with the time series data; and determining, by using the model, a characteristic for each of the performance metrics based on a result of the correlating, the characteristic including a criticality characteristic.

Abstract: Managed lifecycle roles are disclosed. Managed lifecycle roles may be used for secure credential vending or otherwise. For instance, an entity (e.g., administrator or other entity) requests, via an interface of a role manager, creation of a role associated with a lifecycle definition (e.g., an expression of an enforceable expiration of the role or similar characteristic). The role manager stores the role and role lifecycle definition to a data store. Another entity requests to use the role to perform some operation with respect to a resource. A credential service validates the request against a lifecycle definition for the role (and against an access control list, in some examples) and responds to valid requests with credentials useable to perform the operation with respect to the resource. The other entity uses the credentials to perform the operation with respect to the resource. A sweep process manages attributes of the roles.

Abstract: Methods, electronic device, and non-transitory computer-readable storage mediums are provided for semantic parsing. The equipment may obtain a first recognition result of a target statement. The first recognition result may include a first intention recognition result and a first entity recognition result. The first entity recognition result may correspond to a plurality of vertical domains. The equipment may also determine one of the plurality of vertical domains corresponding to the first entity recognition result as a target vertical domain corresponding to the target statement according to the first intention recognition result. The equipment may further convert the first entity recognition result into a second entity recognition result in the target vertical domain. The equipment may also parse an intention of the target statement according to the second entity recognition result.

Abstract: Systems and methods are provided for retrieving first query result data associated with a first user account and rendering the first query result data into a first result item, generating a shareable search result stream comprising the first result item associated with the first user account, retrieving second query result data associated with a second user account and rendering the second query result data into a second result item, adding the second result item to the shareable search result stream associated with the first user account, and providing the sharable search result stream comprising the first result item and the second result item to a first computing device associated with the first user account and a second computing device associated with the second user account.

Abstract: A method and system for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera, microphone, and speaker integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display. The frame includes a conversational intelligence that provides a verbal communication with a viewer, such as for determining an identity or preferences of the frame viewer, determining photos to display for the viewer, discussing displayed photos with the viewer, or telling stories to the viewer based upon photo content.

Abstract: An artificial intelligence system that conducts an oral question-and-answer session with a single respondent to achieve an educational outcome, such as reviewing material to reinforce ideas or to prepare the respondent for future tests or events, or evaluating the respondent's knowledge or communication skills. The system may use an artificial intelligence engine that can understand and generate natural language, such as a large-language model like ChatGPT™. Text-to-speech and speech-to-text converters may be coupled to the AI engine to enable the system to communicate directly with the respondent using spoken language. The system may provide an interface for entry of session information such as background information on topics and the type of questioning that should be used during the session. The respondent may be given multiple attempts to answer a question and to select the best response, and the system may provide an evaluation and feedback after each response.

Abstract: Methods and systems are presented for providing a machine learning model framework configured to perform complex data classifications. Upon receiving a request for classifying data, the data is recursively assigned to one or more clusters. During each iteration of clustering assignment, a set of clusters is selected based on a previously assigned cluster for the data, and the data is then assigned to a particular cluster from the selected set of clusters. The machine learning model framework also includes a plurality of machine learning models configured to perform simple data classifications. A particular machine learning model is selected from the plurality of machine learning model based on the one or more clusters to which the document is assigned. The particular machine learning model is then used to classify the document.

Abstract: The present technology pertains to managing a sample of a media item using a non-fungible token (NFT) and an associated smart contract. The present technology includes identifying a portion of the media item as a sample, and creating an NFT referencing assignment of a right associated with the sample of the media item. The NFT has an associated smart contract defining a condition upon satisfaction of which the right associated with the sample will be assigned. The present technology may also include identifying market data of the media item, where the market data includes at least one of a list price and historical sales volume for the media item, and identifying charts data, critical review scores, and social media interaction with the media items. The market data can be used to determine a spot price for the sample of the media item.

Abstract: One or more servers receive a natural language query from a client device associated with a user. The one or more servers classify the natural language query as a query that seeks information previously accessed by the user. The one or more servers then obtain a response to the natural language query from one or more collections of documents, wherein each document in the one or more collections of documents was previously accessed by the user. The one or more servers generate search results based on the response. Then, the one or more servers communicate the search results to the client device.

Abstract: Management of a storage device is disclosed. A method for managing a storage device includes acquiring evaluation information for a candidate fitting model in candidate fitting models. The evaluation information indicates at least a historical fitting degree between the candidate fitting model and historical data. A model selection strategy is determined based on the evaluation information. The model selection strategy indicates at least a probability that the candidate fitting models is selected for fitting target data. The target data indicates a storage state of the storage device over a first time period. Further, based on the model selection strategy, a target fitting model is determined from the candidate fitting models for use in determining a storage state of the storage device over a second time period. In this manner, the fitting model suitable for actual business data can be determined more efficiently, and additional system overhead can be avoided.

Abstract: A method for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display.

Abstract: The present disclosure describes techniques for automatically identifying video series. A first video may be input into a machine learning model. The machine learning model may be trained to identify content that is any part of a connected series. It may be determined whether there is at least a second video in a series with the first video using the machine learning model. The series of videos may comprise the first video and the at least a second video. The series of videos may be uploaded by a same creator. Information indicative of a connection among the series of videos comprising the first video and the at least a second video may be stored.

Abstract: Methods and systems are provided that include receiving an instruction to associate a unique identifier with a digital presentation, where the unique identifier is associated with a tangible object, receiving a first digital asset from a first remote device, determining a first media component to prepend to the first digital asset, determining a second media component to append to the first digital asset (which influences the determination of the first media component or the second media component), incorporating the prepended content, digital asset, and appended content into the digital presentation, and associating the unique identifier with the digital presentation in a data store.

Abstract: In general, in one aspect, a method includes compiling user interaction statistics for a set of content items displayed in association with a first target media document having a non-textual portion, at least some of the content items associated with one or more keywords, based on the interaction statistics, associating the first target media document with at least some of the keywords associated with the content items, and based on a common attribute of the first target media document and a second target media document having a non-textual portion, associating the second target media document with at least some of the keywords assigned to the first target media document. Other aspects include corresponding systems, apparatus, and computer programs stored on computer storage devices.

Abstract: Embodiments of the present disclosure relate generally to a collaborative achievement system for: detecting, at a client device associated with a first user, a collaborative achievement between at least the first user and a second user; selecting an achievement designator based on attributes of the collaborative achievement, wherein the achievement designator comprises personalization instructions for the achievement designator; retrieving, at the client device, user profile information from a first user account and a second user account associated with the first user and the second user; personalizing the achievement designator based on the user profile information and the personalization instructions; and causing display of a presentation of the personalized achievement designator at the client device.

Abstract: A document production system may construct a document from fragments based on a theme associated with the document. The theme may contain section(s), each section having an access control list (ACL) associated therewith. The ACL may specify role-based user group(s) and permission(s) for the role-based user group(s). The system may evaluate rules applicable to the document. At least one rule may pertain to the ACL(s). The evaluation may include, at least in part, utilizing user login information received over a network from a client device. In constructing the document, the system may assemble the document in accordance with the rules and utilizing the fragments and meta information that describes the document. The system may render the document thus assembled utilizing the ACL, generate a view of the document, and communicate the view of the document over the network to the client device for presentation on the client device.

Abstract: Systems and methods to dynamically modify recipes for customers based actions while previously preparing other recipes. A first recipe is presented to a customer and images of the customer preparing the first recipe are captured. The images are analyzed to determine an action of the customer. A recipe characteristic associated with the action is determined based on the analysis of the images. A second recipe later selected for the customer, wherein the second recipe includes the determined recipe characteristic. The second recipe is modified to include a modification to the determined recipe characteristic based on the action of the customer when preparing the first recipe, and the modified second recipe is presented to the customer.

Abstract: Systems and methods are provided herein for automatically generating universal metadata for non-linear content when the non-linear content is determined to be viral. To this end, the systems and methods determine a first rate at which first users are consuming non-linear content from a first source. In response to determining that the first rate exceeds the threshold, the systems and methods determine a second source that from which second users are consuming the non-linear content, and a second rate at which the second users are consuming the non-linear content from the second source. In response to determining that the second rate exceeds the threshold, the systems and methods generate universal metadata for the non-linear content by automatically populating metadata fields of by scraping metadata fitting predefined criteria corresponding to the metadata fields from the first source and from the second source, and store the populated metadata fields to a database.

Abstract: One embodiment provides a method for identifying similar objects by performing document attribute comparisons, the method including: receiving a reference document, wherein the reference document corresponds to an object and comprises a plurality of attributes of the object; receiving a request for a similarity comparison, wherein the request provides an indication of similarity attributes to be used in the similarity comparison; comparing the reference document to each of a plurality of documents corresponding to other objects; generating a document similarity score for each of the plurality of documents, wherein the document similarity score is generated based upon an aggregation of similarity attribute scores calculated for each of the similarity attributes; and providing at least one of the plurality of documents with an indication of a similarity. Other aspects are described and claimed.

Abstract: In one example embodiment, a computer-implemented method for determining traffic conditions includes obtaining traffic sample data associated with a first direction of traffic on a first road segment, the traffic sample data including data indicative of a plurality of movement speeds associated with a plurality of objects. The method includes determining a plurality of average traffic speeds for the first direction of traffic on the first road segment based at least in part on the plurality of movement speeds. The method includes associating each of the plurality of average traffic speeds with at least one of a plurality of traffic types. The method includes determining map data based at least in part on the plurality of traffic types and associated average traffic speeds. The method includes transmitting to a client device in response to a request, map data corresponding to at least one of the plurality of traffic types.

Abstract: A system implements a dynamic word correlated topic model (DWCTM) to model an evolution of topic popularity, word embedding, and topic correlation within a set of documents, or other dataset, that spans a period of time. For example, the DWCTM receives the set of documents and a quantity of topics for modeling. The DWCTM processes the set computing, for each topic, various distributions to capture a popularity, word embedding, and correlation with other topics across the period of time. In other examples, a dataset of user listening sessions comprised of media content items for modeling by the DWCTM. Media content metadata (e.g., artist or genre) of the media content items, similar to words of a document, can be modeled by the DWCTM.

Abstract: Embodiments of the present disclosure provide a method, an electronic device, and a computer program product for grouping objects in a data management system. The method includes: detecting operation parameters of at least two of a plurality of objects in a data management system, and determining a rate of correlation between the at least two objects based on the detected operation parameters, wherein the rate of correlation indicates a degree of correlation between the at least two objects. The method further includes: comparing the determined rate of correlation with a predetermined threshold, and determining, based on the comparison of the determined rate of correlation with the predetermined threshold, grouping of the at least two objects. With this method, objects with a high degree of correlation are logically grouped together, so that a user can manage objects in batches in an efficient manner during object management, thus improving the system performance.

Abstract: An intelligent clustering system has a dual-mode clustering engine for mass-processing and stream-processing. A tree data model is utilized to describe heterogenous data elements in an accurate and uniform way and to calculate a tree distance between each data element and a cluster representative. The clustering engine performs element clustering, through sequential or parallel stages, to cluster the data elements based at least in part on calculated tree distances and parameter values reflecting user-provided domain knowledge on a given objective. The initial clusters thus generated are fine-tuned by undergoing an iterative self-tuning process, which continues when new data is streamed from data source(s). The clustering engine incorporates stage-specific domain knowledge through stage-specific configurations. This hybrid approach combines strengths of user domain knowledge and machine learning power.

Abstract: A record processing and storage system is operable to receive a plurality of formatted record data. Each of the plurality of formatted record data includes a fixed-length batch section that includes a plurality of fixed-length row sections. Each of the plurality of fixed-length row sections includes at least one fixed-length data value at least one fixed-length offset value. Each of the plurality of formatted record data further includes a variable-length batch section that includes a plurality of variable-length row sections. Each of the plurality of variable-length row sections includes at least one variable-length data value, where the fixed-length offset value for the corresponding one of the plurality of records indicates an offset of the at least one variable-length data value in the each formatted record data. A plurality of pages that include the plurality of formatted record data are generated and stored in a page storage system.

Abstract: Unique key fields in structured data is a critical characteristic of data which plays significant role in data management. Profiling high volume of data for discovering all possible unique keys with high accuracy is a costly and time taking affair. A method and system for finding one or more unique entities in a data have been provided. The one or more unique entities obtained by this approach are complete and the response time is quick. The method is scalable to increasing volume of data and number of fields. The system is configured to perform the analysis process in multiple phases taking the less volume initially and increasing it gradually, thereby reducing the load on later phases as the unique results found with light volume phases. The method also comprises a time check mechanism after different stages if a user wants to do discovery for limited time.

Abstract: Mechanisms for interpreting queries are provided. In some implementations, a method for interpreting queries is provided, comprising: receiving a search query in a search domain; determining search terms based on the search query; determining, for each of the search terms, whether a search term corresponds to an entity name, wherein the entity name is derived from metadata associated with the search domain; in response to determining that entity names correspond to a portion of the search terms, determining an entity type and an entity score associated with each of the corresponding entity names; determining a remaining portion of the entity names by removing at least one of the matching entity names based on the entity score and contextual information in the search query; and performing a search in the search domain with the remaining portion of entity names, wherein each entity name in the remaining portion of entity names is searched corresponding to the associated entity type.

Abstract: An image retrieval system receives an image for which to identify relevant images from an image repository. Relevant images may be of the same environment or object and features and other characteristics. Images in the repository are represented in an image retrieval graph by a set of image nodes connected by edges to other related image nodes with edge weights representing the similarity of the nodes to each other. Based on the received image, the image traversal system identifies an image in the image retrieval graph and alternatively explores and traverses (also termed “exploits”) the image nodes with the edge weights. In the exploration step, image nodes in an exploration set are evaluated to identify connected nodes that are added to a traversal set of image nodes. In the traversal step, the relevant nodes in the traversal set are added to the exploration set and a query result set.

Abstract: Methods, apparatus, and processor-readable storage media for a neural network-based message communication framework with summarization and on-demand audio output generation are provided herein.

Abstract: Methods and apparatus related to ranking modifications of a previous query. For example, modifications of a previous query may be generated based on a current query issued subsequent to the previous query by substituting one or more n-grams of the previous query with one or more n-grams of the current query. One or more measures of each of the modifications may be identified and, based on such measures, a ranking of each of the modifications may be determined. One of the modifications may be selected as a submission query based on the rankings of the modifications. The submission query may be selected for submission in lieu of, or in addition to, the current query.

Abstract: A computer-implemented method for enabling users to subscribe to people and other tagged entities is provided herein. Such a method includes maintaining subscription data specifying a plurality of entities subscribed to by a plurality of users, with each of the plurality of entities being a tagged entity associated with a tag. The method further includes identifying a media item associated with one or more tagged entities of the plurality of entities, determining, based on the subscription data, a user of the plurality of users that is subscribed to the tagged entities of the media item, and providing the media item to the user.

Abstract: Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing text similarity determination. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform text similarity determination by using at least one of Word Mover's Similarity measures, Relaxed Word Mover's Similarity measures, and Related Relaxed Word Mover's Similarity measures.

Abstract: A system for predicting the occurrence of an event includes an event detector and a reporting processor. The event detector is configured to: receive data that defines a plurality of social media items; receive a real-time data feed; and predict the occurrence of an event based on a correlation between information in the plurality of social media items and activity associated with the real-time data feed. The reporting processor is configured to determine an event type associated with the event; identify a sentiment of the predicted event based on historical data in the real-time data feed, and generate a recommendation for preventing the occurrence of the event based on at least one of the event type and the sentiment of the predicted event. The recommendation includes a plurality of actions. The reporting processor is coupled to a knowledge graph database that corresponds to an ontology that defines one or more relationships between event types, and response types.

Abstract: Vehicle methods disclosed herein include displaying, on one or more user interfaces of a vehicle display, a visual summary of a defined trip route. The visual summary may include a start indicator, and end indicator, a transition indicator (indicating a road switch), a road type indicator, a municipality indicator, time indicators (indicating times to transition points and municipalities), and fuel/charge indicators indicating refueling/recharging locations, among other details. Travelers may use the one or more user interfaces to determine desired stopping locations, desired route, goods and services provided at different stops along the way, and other items. Other vehicle methods disclosed herein include preparing a music playlist curated for a specific trip and taking into account various user-specific factors, and changing the playlist in response to changes in trip conditions.

Abstract: Certain aspects of the present disclosure provide techniques for medoid-based data compression. One example method generally includes receiving item data indicative of one or more items, determining one or more medoids based on the item data, determining, for each item of the one or more items, a corresponding medoid based on the one or more medoids, identifying, for each item of the one or more items, a difference between the item and the corresponding medoid for the item, storing the one or more medoids, and storing, for each item of the one or more items, the identified difference between the item and the corresponding medoid.

Abstract: The invention provides methods, systems and computer program products for implementing social networks that provide for reliable verification and validation of user content. In an embodiment, the invention enables implementation of social networks that enable recordation and validation of social contributions of members.

Abstract: Devices and techniques are generally described for iterative theme discovery in text. In some examples, first text data that is separated into a plurality of documents may be received. In some examples, a codebook comprising a first topic associated with a first set of keywords and a second topic associated with second set of keywords may be identified. Instructions to modify the codebook to generate a modified codebook may be received. The instructions may be effective to add to, delete from, and/or modify at least one of the keywords of the first set of keywords or the first topic. In some further examples, a first document of the plurality of documents may be tagged with the first topic based at least in part on the first keywords of the modified codebook. In some examples, output data may be generated that indicates that the first document pertains to the first topic.

Abstract: A framework for an automated news recommendation system for financial analysis. The system includes the automated ingestion, relevancy, clustering, and ranking of news events for financial analysts in the capital markets. The framework is adaptable to any form of input news data and can seamlessly integrate with other data used for analysis like financial data.

Abstract: Systems and methods are provided for retrieving first query result data associated with a first user account and rendering the first query result data into a first result item, generating a shareable search result stream comprising the first result item associated with the first user account, retrieving second query result data associated with a second user account and rendering the second query result data into a second result item, adding the second result item to the shareable search result stream associated with the first user account, and providing the sharable search result stream comprising the first result item and the second result item to a first computing device associated with the first user account and a second computing device associated with the second user account.

Abstract: A method for identifying subpopulations may include receiving interaction data associated with interactions from a population of individuals. The interaction data may include a plurality of features. A first subpopulation may be identified based on at least one feature of interaction data of each individual. A second subpopulation may include all individuals other than the first subpopulation. The first subpopulation may be clustered into a first plurality of clusters based on the features. A first subset of features may be determined based on the first clusters. The first subpopulation may be clustered into a second plurality of clusters based on the first subset of features. A range for each feature of a second subset of features may be determined based on the second clusters. A subset of the second subpopulation may be determined based on interaction data for each individual and the range for each feature of the second subset of features.

Abstract: A method can be used for supervising the operation of a machine powered with electric current. The method includes operating the machine in a normal operation mode, repeatedly performing a learning phase for learning the normal operation machine of the machine to create a knowledge base, autonomously switching from the learning phase into a supervision phase when the knowledge base is considered to have been created, and repeatedly performing the supervision phase.

Abstract: Systems and methods for executing queries on tensor datasets are disclosed. A system can identify a query for a multi-dimensional sample dataset. Each sample of the multi-dimensional sample dataset can include one or more tensors. Each tensor of the one or more tensors can be associated with a respective identifier that is common to each sample of the multi-dimensional sample dataset. The query specifying a first identifier of a first tensor of the multi-dimensional sample dataset and a first range of a first dimension of the first tensor, or one or more operations such as sampling, grouping, ungrouping, or transformation operations, to perform on the first tensor of the multi-dimensional sample dataset. The system can parse the query, and execute the query to generate query results. The system can provide the query results as output.

Abstract: A method and system for automated creation of collages from a video sequence is provided. The system and method dynamically extracts key frames from a video sequence, which are used to create the collages shown on a display. By changing the position of cursors, a new set of key frames is extracted and the content of the collage will change correspondingly reflecting the changes in the key frames selection. The method also includes user interface elements to allow a user to change the layout design (e.g., rotate, overlap, white space, image scaling) of the video frames on the collage. In addition, the method includes different ways for browsing the video sequence by using automatically detected semantic concepts in various frames as indexing points. Further, the method includes defining swiping attributes based on motion characteristics (e.g., zoom/pan, motion of object), audio activity, or facial expression for browsing the video sequence.

Abstract: A method, computer system, and a computer program product for semantic matching is provided. The present invention may include pre-processing and normalizing a job title. The present invention may include deconstructing the job title based on at least one semantic element. The present invention may include training a machine learning model. The present invention may include creating a contextual word representation of the job title using the at least one semantic element of the job title. The present invention may include computing a similarity score for each of the at least one semantic element of the job title. The present invention may lastly include applying a weight to the computed similarity score before making a final match assessment.

Abstract: A method and system for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera, microphone, and speaker integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. Clustering photos by content is used to improve display and to respond to photo viewer desires. Trends or patterns can be detected from the photo collections and that information used for various purposes beyond photo display. The frame includes a conversational intelligence that provides a verbal communication with a viewer, such as for determining an identity or preferences of the frame viewer, determining photos to display for the viewer, discussing displayed photos with the viewer, or telling stories to the viewer based upon photo content.

Abstract: An electronic audio file is received that comprises spontaneous speech responsive to a prompt in a non-native language of a speaker. Thereafter, the electronic audio file is parsed into a plurality of spoken words. The spoken words are then normalized to remove stop words and disfluencies. At least one trained content scoring model is then used to determine an absence of pre-defined key points associated with the prompt in the normalized spoken words. A list of the determined absent key points can be generated. This list can then be displayed/caused to be displayed in a graphical user interface along with feedback to improve content completeness. Related apparatus, systems, techniques and articles are also described.

Abstract: A document production system may construct a document from fragments based on a theme associated with the document. The theme may contain section(s), each section having an access control list (ACL) associated therewith. The ACL may specify role-based user group(s) and permission(s) for the role-based user group(s). The system may evaluate rules applicable to the document. At least one rule may pertain to the ACL(s). The evaluation may include, at least in part, utilizing user login information received over a network from a client device. In constructing the document, the system may assemble the document in accordance with the rules and utilizing the fragments and meta information that describes the document. The system may render the document thus assembled utilizing the ACL, generate a view of the document, and communicate the view of the document over the network to the client device for presentation on the client device.

Abstract: Disclosed is a membership analyzing method, including: obtaining data information of all members of a target group; classifying members with same first type information into a data set based on predetermined keywords; obtaining the type of first type information and data sets on condition that all members have been successfully classified into a corresponding data set, otherwise, if there is any remaining member failed to be classified into any data set, inputting data information of the remaining member into a predetermined classification model, to obtain the type of first type information and a data set of each remaining member; determining a tree structure of data sets based on the type of the first type information, and producing a graph for the tree structure; setting a same identification for the nodes of the same data set, and displaying second type information of each member in a display area.

Abstract: Disclosed herein are applications and platforms for streamlined production of charts and reports from databases containing time series datasets and/or timestamped data. The applications described herein may employ dynamically retrieve data from data centers to quickly provide options to the user. The platform further allows configuration of the charts and/or reports by providing lists of metrics that may be available in the selected data, and lists of transforms that may be applied to the data. The application may employ dynamic user interfaces, which provide processing of the received time series datasets in a data agnostic manner. As a result, the systems and methods described herein may allow generating charts and reports using a streamlined workflow.

Abstract: Technologies for unsupervised data classification include a computing device that generates a high dimensional profile for each column of a data store that is indicative of topological features of the column. The computing device also analyzes each column using multiple predetermined profiling rules and generates an initial classification for the columns based on profiling rule results. The initial classification may be applied to related columns based on clustering of the columns using the high dimensional profile. The computing device may train a machine learning model based on the initial classification and the high dimensional profile. Input features for training may include the profiling rule results and the high dimensional profile. Classifications may be provided to client devices via a predetermined interface. Other embodiments are described and claimed.

Abstract: Managed lifecycle roles are disclosed. Managed lifecycle roles may be used for secure credential vending or otherwise. For instance, an entity (e.g., administrator or other entity) requests, via an interface of a role manager, creation of a role associated with a lifecycle definition (e.g., an expression of an enforceable expiration of the role or similar characteristic). The role manager stores the role and role lifecycle definition to a data store. Another entity requests to use the role to perform some operation with respect to a resource. A credential service validates the request against a lifecycle definition for the role (and against an access control list, in some examples) and responds to valid requests with credentials useable to perform the operation with respect to the resource. The other entity uses the credentials to perform the operation with respect to the resource. A sweep process manages attributes of the roles.