DocumentCode :
3473561
Title :
A Simple Approach of Data Mining in Excel
Author :
Tang, Hewen
Author_Institution :
Comput. Sci. Dept., Yuxi Normal Univ., Yuxi
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
4
Abstract :
Data mining is a new method of data analysis, especially very large datasets analysis. Nowadays it is becoming more and more popular in data handling. It is a rapidly growing field, whose development is driven by strong research interests as well as urgent practical, social, and economical needs. However, it generally requires much specialty knowledge. It is not easy for people without specialty knowledge to handle very large datasets with data mining. This paper describes an approach of data mining with Excel using the XLMiner add-in. Using this approach, data preparation can be easily accomplished in Excel. Almost every one can use Excel experienced. Therefore, data mining in Excel can be implemented easily, not only by people with specialty knowledge but also by people without specialty knowledge. This paper presents an example of mining association rules to illustrate all the steps of this approach.
Keywords :
data mining; very large databases; Excel; association rules; data mining; very large datasets analysis; Association rules; Business; Computer science; Data analysis; Data handling; Data mining; Engineering management; Medical diagnostic imaging; Power system management; Transaction databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.2679
Filename :
4680868
Link To Document :
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