Data mining in time series and streaming databases

• 其他作者：
  • Last, Mark, editor.
  • Bunke, Horst, 1949- editor.
  • Kandel, Abraham, editor.
• 其他題名：
  • Series in machine perception and artificial intelligence ;
• 出版： Hackensack New Jersey : World Scientific
• 叢書名： Series in machine perception and artificial intelligence,volume 83
• 主題： Data mining. , Big data. , Streaming technology (Telecommunications) , Electronic data processing--Distributed processing. , Querying (Computer science)
• ISBN： 9789813228030 (hbk.): US$76.67 、 9813228032
• 資料類型: 圖書
• 內容註: Includes bibliographical references and index. Streaming data mining with Massive Online Analytics (MOA) -- Weightless neural modeling for mining data streams -- Ensemble classifiers for imbalanced and evolving data streams -- Consensus learning for sequence data -- Clustering-based classification of document streams with Active Learning -- Supporting the mining of Big Data by means of domain knowledge during the pre-mining phases -- Data Analytics: industrial perspective & solutions for streaming data.
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• 摘要註: "This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining. The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic" -- From the publishers.
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