Abstract: The present disclosure relates to system(s) and method(s) for logging tasks and and transmitting alerts to a user. The method may comprise receiving raw data, associated with a set of activities corresponding to a user. The raw data may be received from a set of data sources. The method may further comprise generating a conversation thread associated with a target activity from the set of activities. The method may further comprise identifying at least one abnormal event associated with the conversation thread, based on analysis of the conversation thread using one or more data analysis algorithms. The method may further comprise transmitting one or more alerts to a user or one or more other users associated with the conversation thread. The one or more alerts may be generated based on the abnormal event corresponding to the conversation thread.

Abstract: Disclosed is a system for translating data, extracted from disparate data sources, into a homogeneous dataset to provide meaningful information. The database schema definition module defines a database schema in order to extract meaningful information pertaining to a specific use-case. The data source determination module determines one or more disparate data sources pertinent to extract the meaningful information. The data extraction module extracts heterogeneous dataset from the one or more disparate data sources. The data extraction module further passes the heterogeneous dataset to a Data-Translate Markup Language (DTML) executer to translate the heterogeneous dataset into a homogeneous dataset. The data translation module translates the heterogeneous dataset into the homogeneous dataset by using at least one data adapter.

Abstract: The present disclosure relates to system(s) and method(s) for guiding a user in software development lifecycle using machine learning. The system is configured to receive real-time contextual information from a user device and user profile data from a profile database. Further, the system is configured to determine a current issue faced by the current user of the user device. In the next step, the system is configured to enforce a historical solution, from the set of historical solutions, associated with the current issue. If the historical solution is not applicable to address the current issue, the system is configured to extract one or more new solutions, from one or more secondary data sources. Finally, the system is configured to suggest the one or more new solutions to the current user, thereby guiding the current user to address the current issue.

Abstract: The present subject matter discloses system 102 and method to enable machine learning based analytics platform. The method may comprise generating a graphical user interface to enable one or more stake holders to generate and manage a model for predictive analysis. The method may further comprise enabling a business user to define the business problem, and generate models to perform predictive analysis. The method may further comprise deploying the model, in distributed environment, over a target platform. The method may further comprise monitoring the model to identify at least one error in the model and re-training the model for performing predictive analysis based on the at least one error, thereby enable machine learning based analytics platform.

Abstract: Disclosed is a method (300) and system (102) for analyzing data associated with electronic games. The system (102) receives data associated with one or more types of electronic games from heterogeneous data sources, and the data is related to in-game activities performed by players playing electronic games. The system 102 normalizes the data into common schema to obtain normalized data and categorize normalized data into categories of electronic games to obtain categorized data, and classifies categorized data into sub-categories of the electronic games to obtain classified data. The system (102) partitions classified data based upon game attributes to generate partitioned data, and executes one or more analytical techniques on the partitioned data to obtain one or more user telemetry patterns related to in-game activities performed.

Abstract: System and method for processing a raw data is disclosed. The system is configured to identifying a pattern using a plurality of datasets selected from the raw data. Further, the system is configured to fetching a first set of data patterns associated with a first set of historical visualizations. The system further identifies a second set of data patterns from the first set of data patterns by matching the pattern with the first set of data patterns. Furthermore, the system is configured to identify a second set of historical visualizations associated with the second set of data patterns from the first set of historical visualizations. Further, the system is configured to represent the raw data graphically for predictive analysis based on at least one historical visualization selected from the second set of historical visualizations.

Abstract: System(s) and method(s) for change based testing of JavaScript software applications are disclosed. Reference and current versions of the JavaScript software application are analyzed to identify first and second sets of JavaScript programmed components. Further, a reference set of test cases configured to test the first set of intermediate representations are accepted. Then, the first and second sets of components are transformed into first and second sets of intermediate representations and compared to identify a third set of intermediate representations that is modified when the JavaScript software application is transformed from the reference to the current version. Then, a set of impacted test cases are identified from the reference set of test cases based upon the third set of intermediate representations and change based testing is performed on the current version of the JavaScript software application based on the set of impacted test cases.

Abstract: Disclosed is method and system for generating an integrated service. To generate the integrated service, a web service is retrieved using a web browser based on user input. Web service definition of the web service is extracted using web service description language (WSDL) file of the web service. Proxy classes are generated using the web service definition. Proxy classes are compiled to create an assembly file. User enabled to select service method from assembly file, and endpoints for the service method are identified using the web service definition. Service method is converted into custom activity. Workflow file is generated by building a workflow based on predefined activities and the custom activity. The end points are exposed for hosting the workflow file as integrated service. The workflow file is executed, tested and debugged in order to validate the workflow.

Abstract: The Embodiments provides a method for bookmarking and dynamically associating bookmarks of offline content with online content. The method includes receiving request from a user to bookmark segments of online/offline content and generating bookmarks for the segments of the content. Further, the method includes associating the bookmarks for the segments of the content bookmarked by the user and playing the segments of the content using the bookmarks.

Abstract: A process is disclosed for enhanced recovery of propylene and LPG from the fuel gas produced in Fluid catalytic cracking unit by contacting a heavier hydrocarbon feed with FCC catalyst. In the conventional process, the product mixture from FCC main column overhead comprising naphtha, LPG and fuel gas, are first condensed and gravity separated to produce unstabilized naphtha, which is subsequently used in the absorber to absorb propylene and LPG from fuel gas. However, the recovery of propylene beyond 97 wt % is difficult in this process since unstabilized naphtha already contains propylene of 5 mol % or above. In the present invention, C4 and lighter components from unstabilized naphtha are first stripped off in a separate column to obtain a liquid fraction almost free from propylene (<0.1 mol %) and other LPG components. Such a stripped liquid fraction, after cooling to 20° C. to 30° C.

Abstract: A process is disclosed for enhanced recovery of propylene and LPG from the fuel gas produced in Fluid catalytic cracking unit by contacting a heavier hydrocarbon feed with FCC catalyst. In the conventional process, the product mixture from FCC main column overhead comprising naphtha, LPG and fuel gas, are first condensed and gravity separated to produce unstabilized naphtha, which is subsequently used in the absorber to absorb propylene and LPG from fuel gas. However, the recovery of propylene beyond 97 wt % is difficult in this process since unstabilized naphtha already contains propylene of 5 mol % or above. In the present invention, C4 and lighter components from unstabilized naphtha are first stripped off in a separate column to obtain a liquid fraction almost free from propylene (<0.1 mol %) and other LPG components. Such a stripped liquid fraction, after cooling to 20° C. to 30° C.

Abstract: A data mining system and method are provided. The system includes at least one client and a service broker configured to include an interface to receive a consultation request from the client. The service broker forwards the consultation request to a Neugent to invoke a consultation of the Neugent, and forwards to the client a result object returned by the Neugent.

Abstract: A data mining system and method are provided. The system includes at least one client and a service broker configured to include an interface to receive a consultation request from the client. The service broker forwards the consultation request to a Neugent to invoke a consultation of the Neugent, and forwards to the client a result object returned by the Neugent.