Nec Corporation

Mu Zhang

Zhichun Li

Ding Li

Guofei Jiang

Zhenyu Wu

Kangkook Jee

Xusheng Xiao

Jiaping Gui

Systems and methods for mining and compressing commercial data including a network of point of sale devices to log commercial activity data including independent commercial events and corresponding dependent features. A middleware system is in communication with the network of point of sale devices to continuously collect and compress a stream of the commercial activity data and concurrently store the compressed commercial activity data. Compressing the stream includes a file access table corresponding to the commercial activity data, producing compressible file access templates (CFATs) according to frequent patterns of commercial activity data using the file access table, and replacing dependent feature sequences with a matching compressible file access template. A database is in communication with the middleware system to store the compressed commercial data. A commercial pattern analysis system is in communication with the database to determine patterns in commercial activities across the network of point of sale devices.

Template based data reduction for commercial data mining

Methods for querying a database and database systems include optimizing a database query for parallel execution using spatial and temporal information relating to elements in the database, the optimized database query being split into sub-queries with sub-queries being divided spatially according to host and temporally according to time window. The sub-queries are executed in parallel. The results of the database query are outputted progressively.

Progressive processing for querying system behavior

Automated security systems and methods include a set monitored systems, each having one or more corresponding monitors configured to record system state information. A progressive software behavioral query language (PROBEQL) database is configured to store the system state information from the monitored systems. A query optimizing module is configured to optimize a database query for parallel execution using spatial and temporal information relating to elements in the PROBEQL database. The optimized database query is split into sub-queries with sub-queries being divided spatially according to host and temporally according to time window. A parallel execution module is configured to execute the sub-queries on the PROBEQL database in parallel. A results module is configured to output progressive results of the database query. A security control system is configured to perform a security control action in accordance with the progressive results.

Security monitoring with progressive behavioral query language databases

Systems and methods for data reduction including organizing data of an event stream into a file access table concurrently with receiving the event stream, the data including independent features and dependent features. A frequent pattern tree (FP-Tree) is built including nodes corresponding to the dependent features according to a frequency of occurrence of the dependent features relative to the independent features. Each single path in the FP-Tree is merged into a special node corresponding to segments of dependent features to produce a reduced FP-Tree. All path combinations in the reduced FP-Tree are identified. A compressible file access template (CFAT) is generated corresponding to each of the path combinations. The data of the event stream is compressed with the CFATs to reduce the dependent features to special events representing the dependent features.

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Plainsboro, NJ, United States of America

Mu Zhang