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Data Mining Method of Spatial Frequent Wordset from Social Database

机译:社会数据库中空间频繁词集的数据挖掘方法

摘要

A data mining method of a data mining server according to the present invention includes the following steps: maintaining a spatial social database (SSDB), minimum spatial support count information, and spatial partition hierarchical grid information; constructing an SFP-tree composed of a spatial prefix tree (sfptree) for storing information on spatial frequent wordsets and counts of each cell, and a header table (FT_(1-word-cell)) having information on a one word-space cell frequency; and searching for spatial frequent wordsets having frequency counts greater than or equal to the minimum spatial support count information in a spatial hierarchy tree from the spatial prefix tree (sfptree) and the header table (FT_(1-word-cell)).
机译:根据本发明的数据挖掘服务器的数据挖掘方法包括以下步骤:维护空间社交数据库(SSDB),最小空间支持计数信息和空间分区分层网格信息;构造一个SFP树,该树由一个空间前缀树(sfptree)和一个具有一个单词空间单元的信息的头表(FT_(1-word-cell))组成,该空间前缀树用于存储关于空间频繁单词集和每个单元的计数的信息频率;从空间前缀树(sfptree)和头表(FT_(1-word-cell))中搜索频率计数大于或等于最小空间支持计数信息的空间频繁词集。

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