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A Novel Two-Stage Scheme built upon clustering for Sequential Pattern Mining
  • 所属机构名称：天津大学
  • 成果类型：会议
  • 相关项目：面向智能电子商务的Web挖掘理论与技术研究
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面向智能电子商务的Web挖掘理论与技术研究
期刊论文 22 会议论文 16
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面向不确定需求的适应性软件体系结构设计
面向不确定需求的适应性软件体系结构设计
A Novel Two-Stage Scheme built upon clustering for Sequential Pattern Mining
基于关联规则的组合服务发现方法研究
A Hybrid Method for Frequent Itemsets Mining
面向不确定需求的适应性软件体系结构设计
A Novel Two-Stage Scheme built upon clustering for Sequential Pattern Mining
面向不确定需求的适应性软件体系结构设计
A Novel Two-Stage Scheme built upon clustering for Sequential Pattern Mining
A Hybrid Method for Discovering Maximal Frequent Itemsets
An Efficient Hybrid Method based on compressed bitmap for Mining Frequent Patterns
Method for Web Service Composition Discovery Based on Association Rules
Predicting Requirements Change Propagation Based on Software Architecture
An Effective Ensemble Approach for Spam Classification
A Efficient Algorithm for Discovering all Frequent Patterns