Abstract: The present disclosure presents systems and related methods for creating real-time predictions. One such method comprises receiving, by a computing device, a first set of data and a second set of data, wherein the first set of data comprises a plurality of items available from a first source for a first set of users and the second set of data comprises transaction purchase data for a second set of users that have reward accounts, utilizing a predictive data model that determines a propensity score for a user from only behavior data that is not attributed to the user; receiving a third set of data from a third source comprising social media channel data for a third set of users; and updating the predictive data model to determine the propensity score for the user based at least in part on the third set of data.

Abstract: Provided herein are system, method, and/or computer program product embodiments, and/or combinations and sub-combinations thereof for seamlessly adding and removing form fields from a form. A form engine may receive a request to generate a form. The form engine may render a screen to populate the form with form fields and organize the form fields by sections. Form fields may be added to a selected section by toggling a button corresponding to a given form field, from unselected to selected. Form fields may be removed from any given section by toggling a button corresponding to a given form field from selected to unselected.

Abstract: A method for restoring an HPACK table is disclosed. A static table is maintained. Control plane signaling data packets are collected via a probe. A dynamic table is generated from the control plane signaling data packets. An event affecting operation of the probe may be detected. A first control plane signaling data packet may be collected by the probe subsequent to detection of the event. The dynamic table may be reorganized. The reorganized dynamic table may be stored in memory.

Abstract: Systems and methods are described for testing one or more machine learning algorithms in parallel with an existing machine learning algorithm implemented within a data processing pipeline. Each machine learning algorithm can train a machine learning model that receives a live stream of raw machine data. The output of the machine learning model trained by the existing machine learning algorithm may be written to an external storage system, but the output of the machine learning model(s) trained by the test machine learning algorithm(s) may not be written to an external storage system. After some time, performance of the test machine learning algorithm(s) and the existing machine learning algorithm is evaluated. If the test machine learning algorithm performs better than the existing machine learning algorithm, then the machine learning algorithms can be swapped without any downtime and without needed to re-train a machine learning model using previously seen raw machine data.

Abstract: Transformation rule generation and validation functionality is provided herein. Transformation rules can be generated for one or more mappings in an alignment between a source database and a target database. The transformation rules can transform instance data from the source data model to a form matching the target data model. One or more transformation rules can be generated for a mapping between fields in a source database and a field in a target database. The transformation rules can be generated based on one or more source fields and a target field of a mapping, and one or more identified functions. Evaluating the transformation rules can include generating test data based on the transformation rules applied to instance data from the source database. The test data can be evaluated against instance data from the target database. The transformation rules and the evaluation results can be provided in a user interface.

Abstract: User portrait obtaining method, apparatus, and storage medium are provided. The method includes: obtaining M training samples according to a user behavior log. An initialized user parameter matrix Wm×k and an initialized tag parameter matrix Hk×n are modified according to the M training samples by using a data fitting model, to obtain a final user parameter matrix Wm×k and a final tag parameter matrix Hk×n. Further, a user portrait matrix Pm×n is obtained according to the final user parameter matrix Wm×k and the final tag parameter matrix Hk×n. In the present disclosure, a user and a tag are parameterized, and a user parameter matrix and a tag parameter matrix are modified by using the data fitting model, so as to fit a training sample.

Abstract: A method, system, and computer-usable medium are disclosed for processing a search query that includes context based exclusion criteria. A search query is analyzed as to a subject, topic, noun phrase and query intent. Negative exclusion context and emphasis of the search query are determined with a filter word list to refine the query intent. A knowledge graph is created based on the search query. A set of branches of the knowledge graph is determined from which information is retrieved. Negative intent branches are identified based on the exclusion context and pruning is performed on the negative intent branches from the knowledge graph.

Abstract: A method for managing data includes obtaining, by a data processor, a time bucket calculation request, and in response to the time bucket calculation request: obtaining a plurality of data points from a database based on a period of time, wherein the period of time is specified in the time bucket calculation request, processing each data point in the plurality of data points based on a timestamp of each data point and a data point interval, generating a plurality of time buckets based on the processing, and storing the plurality of time buckets in the database.

Abstract: Systems and methods that may be used to generate and use a social graph generated by user financial transaction data (i.e., a financial transaction-based social graph). Connections and other data within the financial transaction-based social graph can be used for targeted product offerings, other offerings, and or advertisements via e.g., collaborative filtering and user segmentation and profiling.

Abstract: A method, apparatus and device are for extracting information. The method includes: acquiring an annotated corpus, which includes a plurality of sample sentences and annotated information sets corresponding to the sample sentences, constructing an input sequence and an output sequence based on the sample sentences and the annotated information sets corresponding to the sample sentences, obtaining an information extraction model generating the output sequence from the input sequence by carrying out training with a deep learning method, and inputting a to-be-processed sentence into the information extraction model to extract a knowledge information set included in the to-be-processed sentence.

Abstract: Methods and systems are provided for automatically enriching collected seeds. Each website that is associated with each collected seed is processed via a web crawler that crawls a home webpage for the company associated with that collected seed to verify, based on similarity between company name and website name, that a website associated with that home page belongs to that company. When verification is successful, other webpages on the website are processed to fetch information using different extractor algorithms each being designed to fetch a specific attribute for that company. Search engine(s) and third-party APIs can also be used to collect additional company information that can be added to each collected seed. Each collected seed is then enriched by adding all of the additional company information to the original seed data.

Abstract: Techniques related to a domain-specific language for transformations are disclosed. A server computer may process a table definition composed in a domain-specific language. The table definition may include a sequence of one or more transformations to be performed on one or more source tables to generate a target table. The sequence may include a customized transformation. A source dataset may be provided as input to an implementation of the customized transformation. An output dataset may be generated as a result of executing the implementation. An intermediate table may be generated based on performing at least one transformation on a particular source table. A supplemental portion for the intermediate table may be generated based on performing the at least one transformation on an appended portion of the particular source table. The target table may be generated based on combining the supplemental portion with the intermediate table.

Abstract: Configuring well settings may include determining schedules over a mid-term horizon for well settings for all or a subset of wells in an oil field. The schedule may be generated so that a performance metric for the considered horizon is maximized. An economic metric, for example, a net present value, and production metrics, for example, cumulative oil production, are considered. Minimum acceptable short-term and long-term metrics, for example, short-term and long-term cumulative field oil production, may be included as target/constraints.

Abstract: An information processing apparatus includes a bio-information obtaining unit configured to obtain bio-information of a subject; a kinetic-information obtaining unit configured to obtain kinetic information of the subject; and a control unit configured to determine an expression or movement of an avatar on the basis of the bio-information obtained by the bio-information obtaining unit and the kinetic information obtained by the kinetic-information obtaining unit and to perform a control operation so that the avatar with the determined expression or movement is displayed.

Abstract: A system and method for measuring a material includes at least one transmitter for transmitting a first signal and a second signal. A variable reflector reflects a portion of the first signal at a first reflecting property to produce a first reflected signal, the portion of the first signal having traveled through the material. The variable reflector also reflects a portion of the second signal at a second reflecting property to produce a second reflected signal, the portion of the second signal having traveled through the material. A receiver receives the first received signal and the second received signal, the first received signal includes the first reflected signal having traveled through the material and the second received signal includes the second reflected signal having traveled through the material. The first reflected signal and the second reflected signal providing an indication of at least one property of the material.

Abstract: Systems described herein preemptively detect newly registered network domains that are likely to be malicious before network behavior of the domains is actually observed. A network security device (e.g., a router) receives domain registration data that associates network domains with keys and generating a graph representing the domain registration data. Each edge of the graph connects a vertex representing a domain and a vertex representing a registration attribute (e.g., a registrant email address). The network security device identifies a connected component of the graph that meets a graph robustness threshold. The network security device determines whether a domain of the connected component whose behavior has not yet been observed is malicious using a predictive model based on existing maliciousness labels for other domains of the connected component.

Abstract: A technique for multiple turn conversational task assistance includes receiving data representing a conversation between a user and an agent. The conversation includes a digitally recorded video portion and a digitally recorded audio portion, where the audio portion corresponds to the video portion. Next, the audio portion is segmented into a plurality of audio chunks. For each of the audio chunks, a transcript of the respective audio chunk is received. Each of the audio chunks is grouped into one or more dialog acts, where each dialog act includes at least one of the respective audio chunks, the validated transcript corresponds to the respective audio chunks, and a portion of the video portion corresponds to the respective audio chunk. Each of the dialog acts is stored in a data corpus.

Abstract: A contact-distance transformer of an electric testing device for testing an electric specimen such as a wafer, for reducing a distance between neighboring electric contacts, the transformer having a non-electrically conductive supporting structure with a first side with first electric contacts positioned apart a first distance and a second side with second electric contacts positioned apart a second, smaller distance. The first contacts are connected to the second contacts by electric connections passing through the support structure and/or which are positioned on the support structure.

Abstract: Systems, methods, and computer-executable instructions for identifying a document are described. A method includes receiving a query from a graphical user interface having one or more concepts, normalizing a set of terms or concepts in the query to create a normalized query, comparing the normalized query to a set of document centric concept profiles associated with a set of documents in a corpus, where each document centric concept includes a plurality of concepts and at least one reference value for each concept, where the reference value is calculated by tabulating the number of times a document associated with one of the document centric concept profiles is cited by a citing instance for the concept, and surfacing a document from the corpus with the highest reference value for the concept.

Abstract: An improved system and method for digital image classification is provided. A host computer having a processor is coupled to a memory storing thereon reference feature data. A graphics processing unit (GPU) having a processor is coupled to the host computer and is configured to obtain, from the host computer, feature data corresponding to the digital image; to access, from the memory, the one or more reference feature data; and to determine a semi-metric distance based on a Poisson-Binomial distribution between the feature data and the one or more reference feature data. The host computer is configured to classify the digital image using the determined semi-metric distance.

Abstract: A marine magnetism detection device and a detection method are provided. The device includes a surveying ship, an onboard laboratory magnetism measurement portion arranged on the surveying ship, an aerostat shell and an aerostat magnetism measurement portion arranged inside the aerostat shell. The aerostat shell is connected to the surveying ship via a rope, and the aerostat shell floats in air. The aerostat magnetism measurement portion includes a magnetic sensor, an electronic magnetism data acquisition unit and an aerostat transmission unit; and the onboard laboratory magnetism measurement portion includes a data recording computer and a laboratory transmission unit. The marine magnetism detection device and method of the present invention are advantageously not limited by the working sea area and can also operate with other onboard devices and dragging devices.

Abstract: A voltage sensing circuit for a switching power converter includes a comparator having a comparator input stage that processes a voltage from a main DAC and a current from a tracking DAC.

Abstract: The charge drawn from a battery during each switching event (pulse) of a pulse frequency modulated DC-DC converter is determined during a calibration period. based on differences in pulse rate with different current loading. Another approach calibration approach determines charge drawn from the battery by measuring voltage across a sense resistor while measuring the total pulse rate and while adding sufficient load current to ensure that the voltage is much larger than the residual offset of the measurement system. During operation, the system counts number of pulses are counted and the total charge drawn from the battery is determined based, at least in part, on the charge transferred per pulse during calibration, the operational mode, the battery voltage during calibration and operationally and the output voltage. Based on the total charge drawn and temperature (for temperature dependent battery types), the battery state of charge is estimated.

Abstract: Systems and methods select accelerometer data to store on computer-readable media. Systems may comprise an accelerometer, a processor, and a computer-readable medium storing instructions executed by the processor. Accelerometer data from a critical time period are stored on a computer readable medium if an activity ratio for the critical time period exceeds an activity threshold. The numerator of the activity ratio comprises a count of data windows in the critical time period that satisfy one or more count criteria and the denominator comprises the total number of data windows in the critical time period.

Abstract: An apparatus for exchanging a probe includes a stacker configured to receive a probe and to align the probe, a probe connector connected to the probe, and a laser alignment unit including a light emitter and a light receiver. The light emitter is configured to emit a laser beam to the probe, and the light receiver is configured to detect the laser beam reflected by the probe. The laser alignment unit is configured to detect when the probe is properly aligned on the probe connector using the light receiver, and the laser alignment unit is configured to stop moving the stacker when it is detected that the probe is properly aligned.

Abstract: Using an observation platform for training, monitoring, and mining structured communications. A signal is received from a first communication device at a second communication device associated with a computer system, wherein a first characteristic of the signal corresponds to an audible source and a second characteristic of the signal corresponds to information indicative of a geographic position of the first communication device.

Abstract: A method, program product, and system for a transaction parallelization improvement metric calculation includes receiving tracking data. The tracking data includes information about inbound and outbound subtransactions between domains over a time frame. Each domain includes at least one computer. Using the tracking data received, a number of interactions are determined based on a number of the inbound and outbound subtransactions. A total number of domains is determined using received tracking data. A transaction parallelization metric is calculated using the tracking data and a transaction parallelization improvement metric is calculated based on the number of interactions, the number domains, and the transaction parallelization metric.

Abstract: An air conditioning system having an inlet air temperature calculating block that calculates a variation in air temperature at an inlet port of each unit based on position information and also calculate the air flow rate through each unit. A temperature sensitivity calculating block calculates temperature sensitivity of each unit obtained by dividing the variation in air temperature at the inlet port by a variation in air temperature at an outlet port of each unit. An inlet air temperature calculating block calculates the air temperature at the inlet port of each unit on the basis of the air temperature at the outlet port of each unit, and the temperature sensitivity.

Abstract: Systems, software, and methods for managing traditional (i.e., TCP/IP-based), non-traditional, and traditional-non-traditional hybrid networks of connected electronic devices are described. In one example, network management policy and network management applications are downloaded automatically upon detection and identification of a new device, application or service on a network. In another example, information related to at least one aspect of the network is obtained by a network management device through connection to a non-TCP/IP network, or by way of a gateway device or application, at least one applicable management policy is identified, and the identified policy is used to manage at least one aspect of the network's operation. In another example, devices, applications or services presenting various behaviors under various scenarios are evaluated and placed under management.

Abstract: Provided are techniques for providing annotations for revising a message. A message to be sent from a sender to a recipient is received. A meaning map associated with the sender and a meaning map associated with the recipient are obtained. The message is parsed into sub-constructs. The sub-constructs are compared in the meaning map associated with the sender and the meaning map associated with the recipient. Alternative language for the sub-constructs is identified. Annotations are provided based on the alternative language.

Abstract: Detecting patterns and sequences associated with an anomaly in predictions made a predictive system. The predictive system makes predictions by learning spatial patterns and temporal sequences in an input data that change over time. As the input data is received, the predictive system generates a series of predictions based on the input data. Each prediction is compared with corresponding actual value or state. If the prediction does not match or deviates significantly from the actual value or state, an anomaly is identified for further analysis. A corresponding state or a series of states of the predictive system before or at the time of prediction are associated with the anomaly and stored. The anomaly can be detected by monitoring whether the predictive system is placed in the state or states that is the same or similar to the stored state or states.

Abstract: Embodiments of the present invention relate to a system for data integration and information retrieval by bringing semantically related data together for a given context. As described, the integration of data may include the building of an ontology, the mapping of one or more processes, semantic maps and concept dictionaries in the ontology to one or more data sources, tagging the data sources in accordance with the ontology, providing a query interface for accepting an input query from a user, the mapping of the input query to one or more concepts in the ontology, and deriving one or more subqueries thereby, and the querying of data sources in accordance with the composed one or more subqueries, wherein the data sources queried are tagged with one or more concepts from the ontology. Additionally, the tracking of data across data sources in accordance with a defined data value chain is disclosed.

Abstract: Various embodiments provide methods, servers, and systems for processing task data. In an exemplary method, a task-data-processing request sent by a client can be received. The task-data-processing request can contain a type identifier of task data. The type identifier of the task data can include a daily-task-data identifier, a mainline-task-data identifier, a random-task-data identifier, or a combination thereof. The task data corresponding to the type identifier of the task data can be processed to generate processing results, according to the type identifier of the task data and a preset processing scheme corresponding to each type of the task data. The processing results can be returned to the client.

Abstract: Executing a plurality of transform stages in an extract, transform and load (ETL) job including, for each of the transform stages, receiving a plurality of input row identifiers (RIDs) corresponding to a first plurality of source database table rows in a source database table. Data is retrieved directly from a subset of the source database table columns in the first plurality of source database table rows based on the input RIDs and transform logic. Partial row data including data from the subset of the source database table columns is generated for each of the first plurality of source database table rows. Transformed data is generated based on the partial row data and to the transform logic. Output RIDs corresponding to a second plurality of rows in the source database table that include a least a subset of the transformed data are output to a downstream stage.

Abstract: The subject disclosure relates to a knowledge-driven data quality solution that is based on a rich knowledge base. The data quality solution can provide continuous improvement and can be based on continuous (or on-going) knowledge acquisition. The data quality solution can be built once and can be reused for multiple data quality improvements, which can be for the same data or for similar data. The disclosed aspects are easy to use and focus on productivity and user experience. Further, the disclosed aspects are open and extendible and can be applied to cloud-based reference data (e.g., a third party data source) and/or user generated knowledge. According to some aspects, the disclosed aspects can be integrated with data integration services.

Abstract: A system for using a rules based, dynamic, non-linear computer interview to capture a user's subjective human experience and storing those experiences in a highly structured manner in the form of a computer based bi-directional graph and using that graph and a computer system to generate navigable readable personal accounts tailored to an intended audience is presented.

Abstract: An artificially intelligent or rule-based system to assist teams or groups become more effective by improving the communication process between members of the team or group. The system helps members share information, negotiate more effectively and make better group decisions. The system is designed to allow users to provide feedback to the system regarding undetected emotional feelings of any one user to all users of the system.

Abstract: A computer-implemented method for identifying constraints to reducing consumable usage includes acquiring print job information for a set of print jobs submitted for printing by a set of users. A print job representation is computed for each of the print jobs based on features extracted from the print job information. Provision is made for user-annotation of the submitted print jobs with a task category and a constraint category. Each of a plurality of task categories represents a respective task with which the printing of a print job is associated. Each of a plurality of selectable constraint categories expresses a different reason for printing the print job. User-annotations are received for at least some of the submitted print jobs. The print jobs are clustered into clusters based on the print job representations and task category annotations.

Abstract: Various embodiments of the present invention relating to a knowledge expertise platform for tracking, analyzing, and sharing knowledge expertise among group member clients are disclosed. In particular, the knowledge expertise platform enables categorizing and ranking a broad universe of human learning to generate expertise categories, processing the expertise categories to accurately identify and link user consumption content to expertise information, and automatically monitoring and interpreting user content consumption to share the expertise information among member clients within a group.

Abstract: Embodiments of the present invention relate to knowledge representation systems which include a knowledge base in which knowledge is represented in a structured, machine-readable format that encodes meaning.

Abstract: Methods and systems for knowledge discovery and organization employ a relational meta model and domain context-based knowledge inference engine to produce answers to queries that involve inferences among items stored as knowledge in a knowledgebase.

Abstract: A computer system provides a way to automatically generate compound commands that perform tasks made up of multiple simple commands. A compound command generation mechanism monitors consecutive user commands and compares the consecutive commands a user has taken to a command sequence identification policy. If the user's consecutive commands satisfy the command sequence identification policy the user's consecutive commands become a command sequence. If the command sequence satisfies the compound command policy, the compound generation mechanism can generate a compound command for the command sequence automatically or prompt an administrator to allow the compound command to be generated. Generating a compound command can be done on a user by user basis or on a system wide basis. The compound command can then be displayed to the user to execute so that the command sequence is performed by the user selecting the compound command for execution.

Abstract: An approach for building an ontology is provided. Based on a grammar, extracted complex triples are syntactically transformed to identify core terms. The syntactically transformed complex triples are semantically transformed into simplified triples referring to new terms that conceptualize the core adjectives, adverbs and verbs, and assigning the core terms to respective definitions and keys in a reference ontology, thereby retaining the semantics of the complex triples. Based on a meta-schema of the reference ontology, an enrichment transformation of the simplified triples is performed to create simplified and enriched triples by adding relations derived from a correspondence each term in the simplified triples has with the reference ontology and by adding representations of semantics of reference ontology definitions of the terms. The simplified and enriched triples are stored as an ontology representing knowledge in an application providing the free-form text from which the complex triples were extracted.

Abstract: Methods and systems for knowledge discovery and organization employ a relational meta model and domain context-based knowledge inference engine to produce answers to queries that involve inferences among items stored as knowledge in a knowledgebase.

Abstract: A method of providing personal service assistance in a virtual universe is disclosed. The method provides a customer avatar (CA) access to a personal assistance avatar or personal customer service representative (PCSR) avatar, hereinafter PCSR avatar. Through the PCSR avatar, the CA communicates a need or requests for personal service assistance from a business or organization. The communication of the received request is processed to identify an appropriate business, organization or vendor that meets the need or request. The identified business, organization or vendor is contacted for a representative from the business to accede to the request from the CA. The representative from the business is allowed to assume control of the PCSR avatar to conduct the session necessary for rendering the assistance or transaction. Upon completion of the session, control of the PCSR avatar is reverted to that prior to the session.

Abstract: Provided is a computer-implemented system and method for task allocation and distributed collaboration in a sender-receiver, query-response network that augments internet-based social networks with decision support such that private, personally targeted, timely, geo-located, tagged information enables users to contribute and respond to requests using natural language, receive postings customized to their user needs and preferences, and contribute to the collection, interpretation, aggregation, integration and distribution of data, enabling rapid status updates, reporting, and performance management in requester-responder networks that entail information-sharing, task distribution, crowd management and collaborative human-machine problem-solving across a diversity of computer, mobile and device platforms.

Abstract: A health and fitness management system is provided that has a health and fitness application operating, e.g., on a smart phone, that can wirelessly communicate with an activity module worn on the user which has an accelerometer. The application accepts food and weight inputs (e.g., from the smart phone) and user activity units (e.g., from the activity unit) and develops a user intrinsic metabolism. The application includes fitness arc and health quotient graphical indicators that guide the user on health and fitness activities.

Abstract: Although recording of usage data is common in scholarly information services, its exploitation for the creation of value-added services remains limited due to concerns regarding, among others, user privacy, data validity, and the lack of accepted standards for the representation, sharing and aggregation of usage data. A technical, standards-based architecture for sharing usage information is presented. In this architecture, OpenURL-compliant linking servers aggregate usage information of a specific user community as it navigates the distributed information environment that it has access to. This usage information is made OAI-PMH harvestable so that usage information exposed by many linking servers can be aggregated to facilitate the creation of value-added services with a reach beyond that of a single community or a single information service.

Abstract: A method for creating a risk estimate for a tool includes creating a plurality of source patterns from tool data and maintenance data related to a plurality of tools. The method also includes creating a risk model from the plurality of source patterns, the risk model including a plurality of example stressors each having an associated risk value. The method also includes creating at least one stress pattern from tool data related to the tool and comparing the at least one stress pattern to the risk model to create a risk estimate for the tool.

Abstract: A system for using a rules based, dynamic, non-linear computer interview to capture a user's subjective human experience and storing those experiences in a highly structured manner in the form of a computer based bi-directional graph and using that graph and a computer system to generate navigable readable personal accounts tailored to an intended audience is presented.