Intelligent data mining : techniques and applications
著者
書誌事項
Intelligent data mining : techniques and applications
(Studies in computational intelligence, v. 5)
Springer, c2005
大学図書館所蔵 全8件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references
内容説明・目次
内容説明
"Intelligent Data Mining - Techniques and Applications" is an organized edited collection of contributed chapters covering basic knowledge for intelligent systems and data mining, applications in economic and management, industrial engineering and other related industrial applications. The main objective of this book is to gather a number of peer-reviewed high quality contributions in the relevant topic areas. The focus is especially on those chapters that provide theoretical/analytical solutions to the problems of real interest in intelligent techniques possibly combined with other traditional tools, for data mining and the corresponding applications to engineers and managers of different industrial sectors. Academic and applied researchers and research students working on data mining can also directly benefit from this book.
目次
- From the contents: Part 1: Intelligent Systems and Data Mining
- Some Considerations in Multi-Source Data Fusion
- Granular Nested Causal Complexes
- Gene Regulating Network Discovery
- Semantic Relations and Information Discovery
- Sequential Pattern Mining
- Uncertain Knowledge Association through Information Gain
- Data Mining for Maximal Frequency Patterns in Sequence Group
- Mining Association Rule with Rough Sets
- The Evolution of the Concept of Fuzzy Measure.- Part 2: Economic and Management Applications
- Building ER Models with Association Rules
- Discovering the Factors Affecting the Location Selection of FDI in China
- Penalty-Reward Analysis with Uninorms: A Study of Customer (Dis)Satisfaction.- Part 3: Industrial Engineering Applications
- Fuzzy Process Control with Intelligent Data Mining
- Accelerating the New Product Introduction with Intelligent Data Mining
- Integrated Clustering Modeling with Backpropagation Neural Network for Efficient Customer Relationship Management Mining.
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