Advances in intelligent information systems
著者
書誌事項
Advances in intelligent information systems
(Studies in computational intelligence, v. 265)
Springer, c2010
- : hbk
大学図書館所蔵 全1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 and index
内容説明・目次
内容説明
Intelligent Information Systems (IIS) can be defined as the next generation of Information Systems (IS) developed as a result of integration of AI and database (DB) technologies. IIS embody knowledge that allows them to exhibit intelligent behavior, allows them to cooperate with users and other systems in problem solving, discovery, retrieval, and manipulation of data and knowledge. For any IIS to serve its purpose, the information must be available when it is needed. This means that the computing systems used to store data and process the information, and the security controls used to protect it must be functioning correctly. This book covers some of the above topics and it is divided into four sections: Classification, Approximation and Data Security, Knowledge Management, and Application of IIS to medical and music domains.
目次
Classification.- Nonredundant Generalized Rules and Their Impact in Classification.- Asymmetric and Sample Size Sensitive Entropy Measures for Supervised Learning.- Algebra and Topology for Dominance-Based Rough Set Approach.- Approximation & Data Security.- Approximate Relational Reasoning by Stochastic Propositionalization.- LSA-Based Compression of Data Cubes for Efficient Approximate Range-SUM Query Answering in OLAP.- Security Requirements Engineering: The SI* Modeling Language and the Secure Tropos Methodology.- Privacy Protection for Genomic Data: Current Techniques and Challenges.- Knowledge Management.- Unifying the Concept of Collection in Digital Libraries.- Inferring User Goals from Sets of Independent Queries in a Multidatabase Environment.- The CPT Structure of Variable Elimination in Discrete Bayesian Networks.- Summaries of Action Rules by Agglomerative Clustering.- Applications.- Bar Charts in Popular Media: Conveying Their Message to Visually Impaired Users via Speech.- Conceptual Development of Mental Health Ontologies.- Multiple Classifiers for Different Features in Timbre Estimation.- Identification of Musical Instruments by Features Describing Sound Changes in Time.
「Nielsen BookData」 より