Abstract:
A system (100) and a method for querying heterogeneous data sources have been disclosed. The system (100) based on machine learning and classification rules, predicts a best route for querying at least one data source from the heterogeneous data sources. The system (100) minimizes inefficient use of hardware resources and obtains near real time response from the data source selected through the predicted route for executing the query.
Abstract:
A method of providing visualization interpretation. In one embodiment, the method comprises the step of: retrieving dataset from a domain knowledge database (60) with various attribute domains comprising dimension, measurement and values (100); establishing profile data trending anomalies by modeling anomalies profile with specific attribute and comparing with various data trending comprising external and internal influencers (200); establishing interpretation relationship (300); and establishing visualization interpretation (400). A system therefore is also provided.
Abstract:
The system and method of the present invention secures distribution and execution of library files in a client-server environment by splitting through random number and key generator which prevents file from being tampered and program analysis which prevents exploitation of file. The present invention comprising at least one server (106); at least one client device (112) at client side; and at least a database (104). The server (106) for hosting library file further comprises at least one Security Agent (102) for performing file vulnerability analysis, file secrecy and updating the database with file DNA (Deoxyribonucleic acid). Generally, the present invention encompassed fragmentation of executable file to multiple chunks using file size and random number; file security check using file chunk mapping information and file DNA; and file vulnerability using malware analysis before distribution and execution.