Please wait a minute...
New Technology of Library and Information Service  2007, Vol. 2 Issue (10): 62-65    DOI: 10.11925/infotech.1003-3513.2007.10.14
Current Issue | Archive | Adv Search |
Application of Data-mining with Clementine Under the E-commerce Environment
Deng Shangmin  Han Jing(Compiler)
(Institute of Scientific & Technical Information, Shandong University of Technology,Zibo 255091,China)
Download:
Export: BibTeX | EndNote (RIS)      
Abstract  

In order to meet the demand on the data-mining under the E-commerce environment,this paper copes with concrete problem with Clementine,and puts forward the streams through data-mining,including the understanding of apply and data,as well as preparing and models’ application. Clementine has enormous development prospects to the discovery of information under the E-commerce environment.

Key wordsE-commerce      Clementine      Data-mining      Data stream     
Received: 29 June 2007      Published: 25 October 2009
: 

TP31 

 
     
  F313.36

 
Corresponding Authors: Han Jing     E-mail: jing1609@163.com
About author:: Deng Shangmin,Han Jing(Compiler)

Cite this article:

Deng Shangmin,Han Jing(Compiler). Application of Data-mining with Clementine Under the E-commerce Environment. New Technology of Library and Information Service, 2007, 2(10): 62-65.

URL:

https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2007.10.14     OR     https://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2007/V2/I10/62

[1] 肖秋红. 数据挖掘技术在科研信息服务中的应用研究[J]. 图书馆论坛,2004,24(1):140-142.
[2] Clementine中文使用手册:5-6.
[3] http://www.spss.com/clementine/Clementine_tutorial/Tutorial/toc_top.htm.
[4] Richarad J Roiger,Michael W Geatz著.翁敬农译.数据挖掘教程[M]. 清华大学出版社.第二版北京:2003:45-46.
[5] 毕建欣. 数据挖掘技术在我国保险业中的应用研究[D]. 福州大学. 2005.5:56-58.
[6] http://www.spss.com.cn/application/telecom/clementinetelcoinsert.pdf.
[7] 龙志勇. 数据挖掘在电信行业客户关系管理中的应用[J]. 信息网络. 2003,12(2):118-120.
[8] 王斌会. 数据挖掘技术及其应用现状[J]. 统计与决策, 2006(5):122-123.
[9] 吴志勇. 数据挖掘在电信客户流失中的应用研究[D]. 电子科技大学. 2006.1:49-53.

[1] Xiaofeng Li,Jing Ma,Chi Li,Hengmin Zhu. Identifying Commodity Names Based on XGBoost Model[J]. 数据分析与知识发现, 2019, 3(7): 34-41.
[2] Yu Chuanming,Guo Yajing,Gong Yutian,Huang Manyu,Peng Hufeng. Evolution and Regional Differences of E-commerce Policies for Rural Poverty Reduction Based on Topic over Time Model[J]. 数据分析与知识发现, 2018, 2(7): 34-45.
[3] Wang Yu,Li Xiuxiu. Evaluating Business Reputation with E-Commerce Comments[J]. 数据分析与知识发现, 2017, 1(8): 59-67.
[4] Xue Fuliang,Liu Junling. Improving Collaborative Filtering Recommendation Based on Trust Relationship Among Users[J]. 数据分析与知识发现, 2017, 1(7): 90-99.
[5] Zhu Peng,Zhao Xiaoxiao,Wu Wei. Factors Influencing Mobile E-commerce Consumers’ Preferences: An Empirical Study[J]. 数据分析与知识发现, 2017, 1(3): 1-9.
[6] Liu Honglian,Zhang Pengyi,Wang Jun. Multi-session Product Information Seeking Behaviors, Motivation, and Influencing Factors[J]. 现代图书情报技术, 2016, 32(4): 1-7.
[7] Yuan Xingfu, Zhang Pengyi, Wang Jun. “State-Behavior” Modeling and Its Application in Analyzing Product Information Seeking Behavior of E-commerce Websites Users[J]. 现代图书情报技术, 2015, 31(6): 93-100.
[8] Zhang Wenjun, Wang Jun, Xu Shanchuan. The Probing of E-commerce User Need States by Page Cluster Analysis ——An Empirical Study on Women's Clothes from Taobao.com[J]. 现代图书情报技术, 2015, 31(3): 67-74.
[9] Wu Wankun, Wu Qinglie, Gu Jinjiang. Hot Topic Extraction from E-commerce Microblog Based on EM-LDA Integrated Model[J]. 现代图书情报技术, 2015, 31(11): 33-40.
[10] Gao Jinsong, Liang Yanqi, Li Ke, Xiao Lian, Zhou Ximan. E-commerce Credit Information Service Model for Linked Data[J]. 现代图书情报技术, 2014, 30(6): 8-16.
[11] Li Hui, Liu Dongsu. E-Commerce Reputation Model Based on Elimination Differences of User Subjective Evaluation[J]. 现代图书情报技术, 2012, 28(2): 48-52.
[12] Li Cong. Review of Scalability Problem in E-commerce Collaborative Filtering[J]. 现代图书情报技术, 2010, 26(11): 37-41.
[13] Li Cong. ECRec:e-Commerce Personalized Recommendation Management Based on Collaborative Filtering[J]. 现代图书情报技术, 2009, (10): 34-39.
[14] Li Gang,An Lu. Clustering Analysis of E-commerce Transactions with Self-Organizing Map[J]. 现代图书情报技术, 2008, 24(9): 70-77.
[15] Ma Li. An Improved Item-based Collaborative Filtering Algorithm Based on Compound Weighted Rating[J]. 现代图书情报技术, 2008, 24(11): 60-64.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn