Data Mining Using Finhanced Decision Table Classifier for Online Shopping

被引：0
|
作者：
Goyal, Shaffy [1 ]
Modi, Namisha [1 ]
机构：
[1] GZS CCET, Dept Comp Sci & Engn, Bathinda, Punjab, India
来源：
PROCEEDINGS OF THE 7TH INTERNATIONAL CONFERENCE ON CLOUD COMPUTING, DATA SCIENCE AND ENGINEERING (CONFLUENCE 2017) | 2017年
关键词：
Data mining; Classification of data mining; JRip; Rule Based Classification; Decision Table;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Data mining is the process of analyzing data from different perspectives and summarizing it into useful information. It is the process of fetching hidden knowledge from a wide store of raw data. In this paper data mining has been done for online shopping dataset and rule based classification approaches have been described that can be used for classification. This paper comprises enhanced decision table classification approach for classification of online shopping dataset. Proposed approach provides much better results for dataset classification.
引用
收藏
页码：313 / 318
页数：6
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