1.
Turbulent Mining Model and Mining Experimentation for the Core Competence of the Firm;
企业核心能力的湍流挖掘模型及挖掘实验
2.
The Research and Realization of Clustering Algorithm in Data Streams Mining;
数据流挖掘中聚类算法的研究与实现
3.
Mining and Identifying Technology of River Runoff Change Law;
河川径流演变规律的挖掘与识别技术
4.
Research on Two-tier Structure Clustering Mining Based on Data Stream;
基于数据流双层结构聚类挖掘的研究
5.
Research on BPR Based on Business Process Mining;
工作流过程挖掘在BPR实施中的应用
6.
Research of Mining Frequent Patterns and Classification on Data Straems;
数据流频繁模式和分类挖掘算法研究
7.
Study on Holiday Tourism Data Mining and Flux Model;
假日旅游数据挖掘和流量模型的研究
8.
Research on Algorithm for Mining Frequent Patterns of Data Streams;
数据流频繁模式挖掘算法研究与设计
9.
Research on and Implementation of Frequent Item Set Mining System in Data Stream;
数据流频繁项挖掘系统的研究和实现
10.
Data Mining and Its Application in Process Industry;
流程工业中数据挖掘技术应用的研究
11.
Research and Application of CRM Information Mining in Logistics Enterprise;
物流企业CRM信息挖掘方法的研究应用
12.
Research on Frequent Items Mining and Clustering Algorithms of Data Stream;
数据流频繁项挖掘与聚类分析的研究
13.
4PL System Based on Data Mining;
基于数据挖掘技术的第四方物流系统
14.
Data Mining--Analysis and Predict the Loss of Clients in Telecom;
数据挖掘——电信客户流失分析预测
15.
Research on Key Issues for Constructing Decision Tree on Streaming Data;
数据流上挖掘决策树的关键技术研究
16.
Develop Business Chance Brought by CEPA and Improve Logistics in Shenzhen;
挖掘CEPA商机 提升深圳物流
17.
Research on Algorithms for Mining top-K Frequent Patterns over Data Streams
数据流top-K频繁模式挖掘算法研究
18.
Research on Clustering of Stream Data Based on Sliding Window
基于滑动窗口的流数据聚类挖掘研究