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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Feng Yang Hemin Jin Huimin Qi |
| Copyright Year | 2012 |
| Description | Author affiliation: Institute of Information Technology, Henan University of TCM, Zhengzhou, 450008, China (Feng Yang) || Library, Henan University of TCM, Zhengzhou, 450008, China (Hemin Jin) || Department of Information Engineering, Henan College of Finance & Taxation, Zhengzhou, 450002, China (Huimin Qi) |
| Abstract | Customer information-mining in e-commerce is very important. ID3 algorithm is a mining one based on decision tree, which selects property value with the highest gains as the test attribute of its sample sets, establishes decision-making node, and divides them in turn. ID3 algorithm involves repeated logarithm operation, and it will affect the efficiency of generating decision tree when there are a large number of data, so one must change the selection criteria of data set attributes, using the Taylor formula to transform the algorithm to reduce the amount of data calculation and the generation time of decision trees and thus improve the efficiency of the decision tree classifier. It is shown that the use of improved ID3 algorithm to deal with the customer base data samples can reduce the computational cost, and improve the efficiency of the decision tree generation. |
| Starting Page | 615 |
| Ending Page | 619 |
| File Size | 330386 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467314107 |
| e-ISBN | 9781467314114 |
| DOI | 10.1109/CSIP.2012.6308929 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-08-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Microwave integrated circuits Decision Tree Taylor Formula Information Entropy Data Mining ID3 Algorithm |
| Content Type | Text |
| Resource Type | Article |
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