Abstract: Systems and methods for efficiently managing item deliveries are described. In an example, a computer system may identify a first handling sequence of a first item and sequence steps along the handling sequence. The sequence steps may be common to a different handling sequence of a second item. The computer system may determine that the first item should be grouped in a container grouping the second item based on the sequence steps being common. The computer system may generate an identifier and metadata for the container. The identifier may identify the container to handling systems. The metadata may identify the items of the container, a first sequence step to group the first item, and a second sequence step to ungroup the first item. The computer system may distribute the identifier and/or the metadata to the handling systems.

Abstract: An article conveyance system includes: a processor; and a storage device accessed by the processor, in which the processor calculates a conveyance time until a conveyance device conveys a shelf being a target for work of taking out or storing an article to a work place where the work on the shelf is performed and a work time until work scheduled to be performed at the work place is ended; and the processor determines whether or not to add an instruction to cause the conveyance device to convey the shelf to the work place based on a difference between the conveyance time and the work time.

Abstract: Techniques facilitating using a distribution system for incentivizing and accelerating data driven scientific research are described herein. The distribution system can track the input of various parties involved in scientific research, and when a reward, monetary or otherwise, is realized for one or more outcomes of the scientific research, the distribution system can distribute the reward among the parties that provided the input. The relative levels and contributions of the parties can be tracked to ensure that an equitable portioning of the reward is realized. A directed graph can be formed based on the transactions, wherein the nodes correspond to entities, researchers, publications, and the edges correspond to relationships between the entities. The directed graph can be analyzed to determine the relative or absolute levels of contributions from each of the entities, and the rewards can be distributed based on the contribution levels.

Abstract: Systems and methods described herein can automatically route an inbound call from an identified customer to one of a plurality of agents, the agent being selected on the basis of likelihood of a favorable outcome. The method determines a predictive model appropriate for the identified customer, with model variables including call center data, and targeted marketing data based upon risk data for the customer. An analytical engine calculates outcome predictions by applying the predictive model to values of model variables over a recent time interval. In a time-series analysis, this calculation is repeated while dynamically adjusting the recent time interval, until identifying a call routing option that satisfies a favorable outcome criterion. This method may be used to select the agent to handle the incoming call, and optionally to select a product for that agent to discuss with the identified customer.

Abstract: Devices and methods are provided for determining video data using contributor trust scores. A device may receive first data associated with a video program, wherein the first data are received from a first contributor, the first contributor having a first reliability ranking. The device may receive second data associated with the video program, wherein the second data are received from a second contributor, the second contributor having a second reliability ranking. The device may determine that the first reliability ranking is higher than the second reliability ranking. The device may send the first data to a catalog including additional video data.

Abstract: Systems and methods for control of a vehicle fleet system are provided. The vehicle fleet system may include a dedicated carrier fleet having dedicated carrier vehicles operated by a dedicated fleet control system. The dedicated fleet control system may be in communication with a common carrier control system of a common carrier fleet and may operate to assign various shipments among the dedicated carrier vehicles and the common carrier fleet. In particular, the dedicated fleet control system may selectively assign the one or more shipments to the dedicated fleet or the common carrier fleet based on dedicated carrier constraints and common carrier constraints. The selective assignment may be based, in part, on a cost model that includes or excludes fixed costs for the dedicated carrier fleet.

Abstract: An approach is provided for mobile transportation platform data capture. The approach, for instance, involves collecting through electronic means, a comprehensive aggregation of technical computing data, communications data, control systems data, systems configuration data, and network data on mobile transportation platforms (e.g., aircraft, automobiles, trains, ships, etc.) and the ecosystems they operate in. This would create a single comprehensive, searchable, repository of technical data for a specific, mobile platform event stamped for time and/or location.

Abstract: A management system that manages substitute parking service in which a substitute driver parks a vehicle of a service user, in place of the service user, includes a processor configured to generate path information indicating a path from a delivery location of the vehicle to a parking lot in which the vehicle is allowed to be parked, based on information indicating the delivery location, and information indicating a position of the parking lot, and the processor being configured to transmit the path information to a terminal of the service user.

Abstract: There is provided an information processing method for performing, through interaction with a user, narrowing down regarding information that the user desires to search for. The method includes: outputting a first question, which is an open question, about a target of search; obtaining a first answer to the first question, the first answer being input by the user; if a determination is made indicating that the first answer does not satisfy a first condition and that a word or phrase corresponding to a word or phrase included in the first answer is not included in a database, outputting a second question, which is an open question, for requesting an explanation about the word or phrase included in the first answer and not included in the database; and if a determination is made indicating that the first answer satisfies the first condition, outputting a closed question about the target of search.

Abstract: A method of machine learning includes performing dimensionality reduction on a parameter space by performing initial tests to determine scores for a plurality of parameter values in the parameter space, determining aggregate scores for a plurality of parameter value combinations, determining a ranking of the plurality of parameter value combinations based on the aggregate scores, and performing cluster analysis on the plurality of parameter value combinations to determine a set having highest aggregate scores. The method further includes performing additional tests, wherein each additional test is for a parameter value combination in the set. For each such parameter value combination, a probability of achieving a key performance indicator (KPI) is computed. Cluster analysis is then performed to determine a first subset of the set having highest probabilities of achieving the KPI. An operation is then performed on the first subset.

Abstract: The present invention is provided to notify a person who makes a movement of a part to be improved in the movement. A movement evaluation system includes: a proficiency degree estimating unit generating a proficiency degree score on the basis of movement data obtained by detecting a movement of a user; an improvement point extracting unit specifying a part of the movement of the user as an improvement point on the basis of the movement data; and an information generating unit generating suggestion information to be presented to the user, on the basis of the improvement point.

Abstract: A system for the management and reporting of serviceability at stores, restaurants, museums, entertainment venues or other locations 130, 140, 150, 160 is disclosed. The system comprises a serviceability information aggregator 125 working in conjunction with serviceability information agents which take the form of apps operating on smart phones, tablets, smart watches or other devices. The serviceability information aggregator 125 receives information from users 120 operating serviceability information agents related to serviceability parameters, such as wait time, line lengths, parking availability, or crowd size, aggregates the information into a serviceability score or scores, and communicates those on request to one or more users 120 via the application agent.

Abstract: An example embodiment relates to configuration items representing properties of one or more of computing devices or software applications deployed on a managed network. The example embodiment may involve a computing device: receiving an incident report to which no configuration item is linked; generating a feature vector for the report by applying a computational model to the incident report; comparing the feature vector to at least some of a set of feature vectors; based on the comparison, identifying a set of incident reports that are potentially related to the report, wherein members of the set of incident reports are each linked, in one or more databases, to one or more members of a set of configuration items; selecting a particular configuration item of the set of configuration items to link to the incident report; linking the particular configuration item to the incident report; and storing the link in the database(s).

Abstract: A method of machine learning includes performing dimensionality reduction on a parameter space by performing initial tests to determine scores for a plurality of parameter values in the parameter space, determining aggregate scores for a plurality of parameter value combinations, determining a ranking of the plurality of parameter value combinations based on the aggregate scores, and performing cluster analysis on the plurality of parameter value combinations to determine a set having highest aggregate scores. The method further includes performing additional tests, wherein each additional test is for a parameter value combination in the set. For each such parameter value combination, a probability of achieving a key performance indicator (KPI) is computed. Cluster analysis is then performed to determine a first subset of the set having highest probabilities of achieving the KPI. An operation is then performed on the first subset.

Abstract: A system for assessing and optimizing master data maturity for an enterprise master data architecture. The master data maturity analysis system generates a master data maturity matrix for individual master data users. Each unique master data user's master data maturity matrix is used to generate master data matrices for other hierarchical entities for an enterprise such as lines of business and/or the enterprise as a whole. Master data maturity matrices are stored over time and tracked to assess and optimize the master data maturity and improvement of the master data technology vertically and horizontally across all enterprise hierarchies and business components.

Abstract: A computerized method of assessing a chatbot conversation includes: extracting one or more messages from the conversation; determining, based on the one or more messages, an existing business opportunity value score using a business opportunity state detector module; determining, based on the one or more messages, an existing user experience score using a user experience state detector module of the computing device; determining, based on the one or more messages, a future business opportunity value score using a future business opportunity predictor module of the computing device; determining, based on the one or more messages, a future user experience score using the future user experience predictor module of the computing device; calculating a composite score indicating whether human intervention in the chatbot conversation is desirable; and generating a display signal including a status indicator, for review by a human agent, reflecting a desirability of human intervention in the chatbot conversation.

Abstract: A method for recommending a tote type for an operator to select for use in robot induction process, wherein the robot operates under the control of a warehouse management system to fulfill orders, each order including one or more items and each item being located in a warehouse. The method includes grouping one or more orders from an order queue to form at least one order set. The method also includes identifying, based on a characteristic of the at least one order set, a preferred tote type to be assigned to the robot to carry the order set on the robot. The method further includes communicating to an operator the preferred tote type to enable the operator to select from a plurality of totes a tote of the preferred tote type to assign to the robot for execution of the order.

Abstract: Disclosed is system and method for generating data visualization. The system comprises a database arrangement configured to store data retrieved from one or more data sources, and a server arrangement comprising a user profile module configured to define one or more user profiles, and associate one or more data sources and data-object thereto; a receiving module configured to receive data visualization request from the user profile; and a data processing module configured to determine connections between the one or more data sources and data-object based on the user profile; select one or more data sources from the one or more data sources based on the data visualization request; retrieve data associated with the one or more selected data sources based on the data visualization request; and generate at least one data-object based on the retrieved data from the one or more selected data sources and defined connections therewith.

Abstract: A device may receive, from a user device, a request for a set of forecasts of an extract transform load (ETL) completion time for a group of ETL jobs associated with an organization. The device may obtain a set of performance indicators associated with the group of ETL jobs. The device may filter the set of performance indicators using one or more filtering techniques. The device may generate the set of forecasts of the ETL completion time by using a data model to process the set of performance indicators and/or a set of assumptions associated with a set of recommendations for reducing the ETL completion time. The device may provide the set of forecasts of the ETL completion time to the user device. The device may perform one or more actions that cause the ETL system to execute the group of ETL jobs within a threshold completion time.

Abstract: According to one embodiment, a document processing apparatus includes an acquisition unit, an extractor, and a detector. The acquisition unit acquires a first document and a second document different from the first document. The extractor extracts a first structure representing a word dependence of structural elements in the first document and extracts a second structure representing a word dependence of structural elements in the second document. The detector detects a difference for each structural element from the first structure and the second structure.

Abstract: A mechanism is provided for generating crowd-based custom logic units for use in storage management. Responsive to receiving analytic data from a set of storage device managers about how users interact with the set of storage device managers, the analytics data is analyzed in order to gain one or more insights into how users interact with the set of storage device managers. One or more logic units are then generated utilizing the one or more insights. The one or more logic units are then sent to one or more storage device managers in the set of storage device managers in order that the users of the one or more storage device managers utilize the one or more logic units to perform their daily tasks more efficiently.

Abstract: Provided is a technique for extracting a factor (event pattern) that has an influence on an objective index (objective variable). A data analysis device according to the present disclosure performs: a process of generating, with respect to explanatory variable data included in data to be analyzed, a time-series pattern in a predetermined range; a process of calculating a correlation value between the time-series pattern and at least one item of objective variable data included in the data to be analyzed; and a process of outputting, together with the correlation value, the time-series pattern corresponding to the correlation value as an analysis result.

Abstract: Systems, apparatus, and methods are disclosed for intelligent communication over multiple communications platforms. A dispatch controller interfaces with at least one communication platform to obtain and convert messages to a platform-agnostic format annotated with user and source information. A processing and routing controller applies natural language processing and machine learning techniques to interpret user requests and simultaneously become better at interpreting user requests. A task performance controller invokes specific tasks extracted from routed messages and/or initiates responses to user requests. At least one message bus communicates between the dispatch controller, the processing controller, and the task performance controller, and at least one memory device stores data and processor-executable instructions employed by the dispatch controller, the processing controller, and the task performance controller.

Abstract: An application executing on a mobile computing platform provides independent data channels over a mobile network to multiple separate computing systems that each maintain some data pertinent to problem determination and resolution when an incident arises in a monitored information technology (IT) environment. The application maintains and separately exercises the channels to provide timely information in a user interface that composites data to present a single interface with a multi-sourced contextual rendering. Some systems may include an IT monitoring system and a separate incident management system among its sources. Channels may include extended functionality to improve security or other aspects of communication with mobile platforms.

Abstract: A technique for handling data provided from a source node to a collecting node in a data network is described. As to a method aspect of the technique, the source node generates a sequence of values. The sequence is unrevealed in the data network by the source node in a time interval. An authentication of the sequence is triggered in the data network. The authentication associates the sequence with the source node. One or more signatures for one or more data sets to be sent in the time interval are computed using one or more values of the sequence. The one or more data sets in the time interval are sent from the source node to the collecting node. The source node further provides one or more of the signatures.

Abstract: Techniques for statistically estimating a rating or other “figure of merit” for a user are disclosed. According to one such technique, a first quantity of submissions that were submitted by a user is determined. A second quantity of submissions that (a) were submitted by the user and (b) obtained a particular rating from a rating mechanism also is determined. A user rating for the user is determined based at least in part on the first quantity, the second quantity, and a factor that is independent of both the first quantity and the second quantity—such as the probability that an answer submitted by any answerer in a population will obtain the particular rating from the rating mechanism. The influence that the second quantity has on the user rating relative to the influence that the factor has on the user rating may depend at least in part on the first quantity.

Abstract: A method and a system implementing a service level agreement based storage access system. A service level agreement based storage access system presents a single interface for data storage consumers and translates generic data operation requests to data operation request specific to a storage server. The SLA based storage access system also monitors storage server performance and may throttle processes to ensure service level agreements are not violated.

Abstract: Techniques for benchmarking performance in a contact center system are disclosed. In one particular embodiment, the techniques may be realized as a method for benchmarking contact center system performance comprising cycling, by at least one computer processor configured to perform contact center operations, between a first contact-agent pairing strategy and a second contact-agent pairing strategy for pairing contacts with agents in the contact center system; determining an agent-utilization bias in the first contact-agent pairing strategy comprising a difference between a first agent utilization of the first contact-agent pairing strategy and a balanced agent utilization; and determining a relative performance of the second contact-agent pairing strategy compared to the first contact-agent pairing strategy based on the agent-utilization bias in the first contact-agent pairing strategy.

Abstract: A system may include an aggregate model comprising a plurality of modules, a monitoring dashboard in communication with the aggregate model, and a search-marketing campaign manager in communication with the aggregate model, the monitoring dashboard, and a search engine entity. Additionally, the system may include a bidding interface in communication with the aggregate model and a search engine entity and/or a monitoring dashboard configured to generate model adjustment data. The search-marketing campaign manager may be configured to determine trend data, measured marketing indicators, or both, from one or more of marketing data or historical data.

Abstract: A method and system for auditing and verifying vehicle identification numbers (VINs) with fraud detection. Digital photographs of vehicle VINs are collected and verified with crowdsourcing and Global Positioning System (GPS) information of the vehicles, GPS information and motion information of a mobile network device used to collect the digital photographs of the vehicle VINs and a number of manually entered VINs. The method and system is used to detect fraud associated with VIN audits of vehicle lots.

Abstract: Confirming compliance with a configuration includes: receiving information about a fixture, where the information includes a specified configuration of items to be displayed on the fixture; generating a display using the information, where the display depicts the specified configuration; presenting the display using a graphics system of a computing device; receiving an image depicting an actual configuration of the fixture; associating metadata with the image, where the metadata includes searchable data that distinguishes the fixture from at least some other fixtures of like type; sending the image, along with the metadata, over a network to a server that is remote from the computing device; and in a case that the specified configuration substantially matches the actual configuration, sending, along with the image and the metadata, a message indicating that the fixture is in compliance with the specified configuration.

Abstract: A hosted client instance is provided over a network interface for communicatively coupling with a remote client device, the hosted client instance including a first plurality of application components for performing a plurality of actions associated with the hosted client instance. A metric is set to optimize one or more actions associated with the hosted client instance based on input from a user. One or more application components are detected based on the metric from among a second plurality of application components available on a resource server. The detected one or more application components are ranked based on: (i) a maturity score of each of the detected one or more application components; and (ii) dependency data indicating an operational dependency of each of the detected one or more application components. The ranked one or more application components are presented in a ranked order to a user.

Abstract: Techniques are described for forecasting and dynamic routing of incoming routing service requests in a service environment that includes one or more call centers. Implementations apply a doubly stochastic modeling technique to modeling call volumes, call wait times, calling handling times, and/or other parameters in a service environment that includes one or more call centers that include multiple skill codes for the service representatives. By simultaneously modeling on different time scales, such as modeling both inter-day and intra-day correlations, implementations are able to provide an analysis that exploits more of the structure in the data compared to traditional techniques. Implementations can also integrate in other types of time series for other effects that may impact the call volume or other parameters in a service environment, such as exogenous and/or anomalous variables that are independent of other inter-day and/or intra-day trends exhibited in the data.

Abstract: Systems and methods are provided for analyzing and visualizing relationship of multi-layered datasets. A system stores original datasets in a datastore. The system generates first derivative datasets from the original datasets, and generates second derivative datasets from at least the first derivative datasets. The system determines relationships among the original datasets, the first derivative datasets, and the second derivative datasets, based on an analytical relationship between two datasets, a similarity relationship between two datasets, a modification relationship between two datasets, and a user-interaction relationship between two datasets. Then, the system generates a node map including at least part of the original datasets, the first derivative datasets, and the second derivative datasets as a node, and at least part of the determined analytical, similarity, modification, and user-interaction relationships between two nodes as a link.

Abstract: A system and method of characterizing a geographical location for a wireless device in a wireless network is described. The system includes a first config management log, a second config management log, a correlation module, data bins, a location module, a predictive analysis module and a service layer module. The first config management log is associated with a plurality of base stations. The second config management log is associated with a network component communicatively coupled to the plurality of base stations. The correlation module correlates the first config management log and the second config management log with a geographic area. Each of the data bins is associated with a geographic area. The predictive analysis module analyzes the communication parameters associated with a particular geographic area. The service layer module identifies the communication parameters affecting at least one of a user experience and a quality of experience (QoE) in the particular geographic area.

Abstract: Disclosed herein are embodiments for a visual bot builder. An embodiment operates by visually displaying, within a user interface, a plurality of selectable chat bot functions associated with a first dialog. A first selection of one of the bot functions is received. It is determined that the first selection corresponds to calling a selectable second dialog from a one or more previously configured dialogs. A link to the one or more selectable previously configured dialogs is provided and a second selection of one of the previously configured dialogs is received as the second dialog. The execution of the first dialog is linked to an execution of the second dialog. A preview of the execution of the first dialog including the second dialog is provided.

Abstract: In an agile delivery program, hundreds of team members are organised into multiple agile teams work in a synchronized manner, to build a product. Normally, they are geographically distributed teams need to have the infrastructure and tools, to manage their agile delivery seamlessly. In addition to team, a product backlog, and sprint duration also need to be managed the simultaneously. A system and method for managing a program in an agile delivery environment using a single integrated platform has been described. The method involves providing a set of visions to each of the members working in the program. The set of goals, the teams and sprint duration are then provided. The profiling and machine learning techniques are then performed on these parameters to generate an optimal release plan for the release of the product.

Abstract: A method for evaluating usage of an application by a user includes: obtaining screen information regarding use of the portable device during a predetermined time period; determining a number of times of usage of an application for each day within the predetermined time period; calculating a usage duration for each time of execution of the application; calculating a daily usage duration for each day; selecting at least one usage duration for each day; calculating an evaluation value based on one of the at least one usage duration, the number of times of usage of the application for each day, and the daily usage duration; and generating an evaluation result based on the evaluation value and a preset standard.

Abstract: An apparatus in one embodiment comprises a processing platform that includes a plurality of processing devices each comprising a processor coupled to a memory. The processing platform is configured to implement at least a portion of at least a first cloud-based system. The platform further comprises an artifact priority attribute module configured to define artifact priority attributes based on historical artifact data and user input, and to define value categories for the artifact priority attributes. The platform also comprises a real-time weight adjustment software agent configured to assign adjustable weights to the artifact priority attributes and value categories. Additionally, the platform further comprises a priority routing module configured to calculate priority scores for pending artifacts as a function of all weights assigned to the artifact priority attributes and value categories, and to route the pending artifacts to resources in a ranked order of priority based on the priority scores.

Abstract: Various aspects of the subject technology related to systems and methods for detecting and correlating anomalous time-series data. A system may be configured to receive and process time-series data associated with one or more network data streams to generate sets of aligned time-series data. The system may detect anomalous time-stamped data points in the sets of aligned time series data and generate groups of annotated time-series data. The annotation identifies specific time-stamped data points as anomalous. The system may determine the number of anomalous groups of annotated time-series data within all groups of annotated time-series data and may further determine the probability that one or more anomalous groups belong to at least one of the groups of annotated time-series data using a generative statistical model and outputting one or more correlated anomalous groups.

Abstract: A communication by a particular user within a digital collaboration is determined as related to a particular business entity. A relationship between one or more additional business entities and the particular business entity is identified from one or more business models. The communication is associated with the additional business entities based on the relationship.

Abstract: A panel provider may transmit queries to an audience measurement server to retrieve measurement data for subsets of clients selected via one or more characteristics, such as characteristics of the client, characteristics of the client's device, characteristics of the received content, etc. To protect panel data, the panel provider need not identify these characteristics to the audience measurement server; rather, queries may be made via a plurality of filters that may be applied to client and/or content identifiers. Because the audience measurement server may apply the filters or data structures to select client data for retrieval without knowing what the filter represents, the panel provider's reason for any particular query may be hidden. For further obfuscation, the panel provider may provide a plurality of filters that individually may identify large numbers of clients, but when intersected or applied together, identify only the clients for whom measurement data is required.

Abstract: The disclosed technology teaches alerting a network operator to deteriorated wireless network conditions with granularity and reduced false alerts, including receiving tracked performance indicators (KPIs) for multiple components of voice, data and messaging and accessing a mapping for combining the performance indicators into quality sub-indicators for individual users and into key quality indicators (KQI) for the individual users. This includes smoothing the current KQI measures of performance over time to reduce the impact of brief transitory events, accessing a weekly profile of KQIs, and comparing KQIs for a current time window to past KQIs for a corresponding time window for the individual users operating mobile devices in part of the cellular network that is a focus of interest. Based on the comparing, the disclosed technology includes generating alerts that report out-of-range current KQIs within the focus of interest that are persistently out-of-range for longer than a configurable time.

Abstract: In a method of using an observation platform to determine relative expertise of enterprise employees, a computer system of the observation platform monitors communications from and to a plurality of communication devices which have been routed through a radio access point associated with the computer system. Each of the communication devices is associated with a user who is an employee in an enterprise. The computer system extracts information from the communications including identities of the users. The computer system measures performance of a plurality of the users based on aspects of the extracted information which are related to questions on one or more of products and processes of the enterprise, wherein the questions are posed and responded to via the communications devices. The computer system assigns a numerical ranking of the measured performance by each of the measured users, with respect to other measured users, at responding to the questions.

Abstract: A system and method for centrally controlling access by computers in a corporate network to a plant network that runs plant applications, and for gauging Process Control System (PCS) Functional Specification competency. This system and method will help ensure that the corporate network and plant networks are operating according to a predetermined corporate-level engineering baseline that sets the minimum “functional” parameters for the networks to meet a business target or objective.

Abstract: A communication method and system configured to facilitate integration of complex automation systems composed of disparate components that may run with different processes are distributed over a network or are embedded devices. The system/method allows for a client to rapidly access functionality exposed by a service within a client-service system employing a distributed application structure utilizing an augmented object-oriented model of multiple member types. The system/method allows interconnected nodes to communicate through message passing and remote procedure calling so as to reduce latency within a system composed of distributed resources.

Abstract: A system for determining retention risk comprises a grouper, a filter, a normalizer, a feature vector extractor, a model builder, and a predictor. The grouper is for determining a set of time series of transactions where each is associated with one employee. The filter is for filtering the set of time series of transactions based on an employee transition characteristic to determine a subset of time series. The normalizer is for determining a model set of time series by normalizing the subset of time series. The feature vector extractor is for determining a set of feature vectors determined from a time series of the model set of time series. The model builder is for determining one or more models based at least in part on the set of feature vectors. The predictor is for predicting retention risk for a given employee using the one or more models.

Abstract: A method of increasing the probability of breeding swine via a lighting system with a programmable timing device. The lighting system is programmed to present differing photoperiods such that the amount of light observed by a swine every day or week gradually decreases, mimicking a seasonal change, typically from summer to fall. As a result, swine psychologically and physiologically believe that seasons are changing resulting in increased probability of breeding for the swine.

Abstract: Described herein are techniques for generating a visualization relating to execution of a workload. Multiple measurements of a plurality of metrics relating to execution of the workload may be aggregated at multiple levels of execution. A visualization may be generated that comprises a representation of the measurements of a metric at one of the levels of execution.

Abstract: A system and a method for detecting anomalous activities in a distributed and decentralised network is provided. Anonymous users transacting in the network are identified and one or more transactional attributes are retrieved to define characteristics of users and associated transactional behaviour with other users. Further, user-level statistics are evaluated based on transactional attributes. Datatype representative of transactional behavior of users with other users is generated using user-level statistics of identified users. Users with similar transactional behavior are classified based on generated transactional attributes. One or more anomaly detection techniques are implemented for identifying optimum classification of users into data clusters based on the change detected in the classification of users in data clusters. Anomalous users are identified from the optimum classification for efficiently and effectively detecting anomalous activities in the network.