Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
Page 208-212
published_at 2009-11
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| File | |
| Title ( eng ) |
Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data
|
| Creator |
Minegishi Tatsuya
Ise Masayuki
Niimi Ayahiko
Konishi Osamu
|
| Source Title |
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
|
| Start Page | 208 |
| End Page | 212 |
| Abstract |
Recently, because of increasing amount of data in the society, data stream mining targeting large scale data has attracted attention. The data mining is a technology of discovery new knowledge and patterns from the massive amounts of data, and what the data correspond to data stream is data stream mining. In this paper, we propose the feature selection with online decision tree. At first, we construct online type decision tree to regard credit card transaction data as data stream on data stream mining. At second, we select attributes thought to be important for detection of illegal use. We apply VFDT (Very Fast Decision Tree learner) algorithm to online type decision tree construction.
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| NDC |
Technology. Engineering [ 500 ]
|
| Language |
eng
|
| Resource Type | conference paper |
| Publisher |
IEEE SMC Hiroshima Chapter
|
| Date of Issued | 2009-11 |
| Rights |
(c) Copyright by IEEE SMC Hiroshima Chapter.
|
| Publish Type | Version of Record |
| Access Rights | open access |
| Source Identifier |
[ISSN] 1883-3977
[URI] http://www.hil.hiroshima-u.ac.jp/iwcia/2009/
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