DocumentCode
2293189
Title
Investigation and application of extension data mining based on rough set
Author
Tang, Zhi-Hang ; Yang, Bao-An
Author_Institution
Sch. of Comput. & Commun., Hunan Inst. of Eng., Xiangtan, China
fYear
2009
fDate
14-16 Sept. 2009
Firstpage
112
Lastpage
118
Abstract
In the database of information system, usually there are some attributes which are unimportant to the decision attribute, and some records that disturb the decision making. In this paper, reducing the condition attributes based on the matter-element theory and rough set method, calculating the importance to the decision attribute for each condition attribute after reduction, and data mining the relevant rules based on the reduced attributes, extension relevant function is used to depict quality of data gather in data mining. Finally, how to tap new customers and how to recommend an appropriate brand to new customers, Research result indicates that extension data mining can provide effective decide support for the decision-making of enterprise.
Keywords
data mining; decision making; rough set theory; condition attribute reduction; customer service; database; decision attribute; decision making; extension data mining; extension relevant function; information system; matter-element theory; rough set method; Conference management; Data analysis; Data engineering; Data mining; Databases; Decision making; Engineering management; Information systems; Machine learning; Rough sets; attributes reduction; extension data mining; matter-element; rough set;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location
Moscow
Print_ISBN
978-1-4244-3970-6
Electronic_ISBN
978-1-4244-3971-3
Type
conf
DOI
10.1109/ICMSE.2009.5318868
Filename
5318868
Link To Document