Current Trend of Data and Text Mining : Outlier Detection and Reputation Mining(<Special Topic>Data/Text Mining)
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- Yamanishi Kenji
- NECインターネットシステム研究所
Bibliographic Information
- Other Title
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- データ・テキストマイニングの最新動向 : 外れ値検出と評判分析を例に(<特集>データ・テキストマイニング)
- データ・テキストマイニングの最新動向--外れ値検出と評判分析を例に
- データ テキストマイニング ノ サイシン ドウコウ ハズレ チ ケンシュツ ト ヒョウバン ブンセキ オ レイ ニ
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Description
Data and text mining is a science that statistics, machine learning, and data bases technologies are unified into for the purpose of knowledge discovery from a large amount of data. Specifically among the advanced topics in this area we pick up the issues of statistical outluer detection, outlier filtering rule generation, time series mining, and reputation-analysis on the web, and introduce an approach to them from the pointview of information-based induction sciences.
Journal
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- Bulletin of the Japan Society for Industrial and Applied Mathematics
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Bulletin of the Japan Society for Industrial and Applied Mathematics 12 (4), 341-356, 2002
The Japan Society for Industrial and Applied Mathematics
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Details 詳細情報について
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- CRID
- 1390001205765130880
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- NII Article ID
- 110007390998
- 10021044203
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- NII Book ID
- AN10288886
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- ISSN
- 09172270
- 24321982
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- NDL BIB ID
- 6420827
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- CiNii Articles
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- Abstract License Flag
- Disallowed