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TEMPLATE BASED DATA REDUCTION FOR COMMERCIAL DATA MINING

机译:用于商业数据挖掘的基于模板的数据约简

摘要

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.
机译:用于挖掘和压缩商业数据的系统和方法,包括销售点设备网络以记录商业活动数据,包括独立的商业事件和相应的从属特征。中间件系统与销售点设备的网络通信,以连续收集和压缩商业活动数据流,并同时存储压缩的商业活动数据。压缩流包括与商业活动数据相对应的文件访问表,使用文件访问表根据商业活动数据的频繁模式生成可压缩文件访问模板(CFAT),并用匹配的可压缩文件访问模板替换从属特征序列。数据库与中间件系统通信以存储压缩的商业数据。商业模式分析系统与数据库通信,以确定跨销售点设备网络的商业活动中的模式。

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