| 書目名稱 | Knowledge Discovery and Data Mining | | 副標題 | The Info-Fuzzy Netwo | | 編輯 | Oded Maimon,Mark Last | | 視頻video | http://file.papertrans.cn/544/543858/543858.mp4 | | 叢書名稱 | Massive Computing | | 圖書封面 |  | | 描述 | This book presents a specific and unified approach to Knowledge Discovery and Data Mining, termed IFN for Information Fuzzy Network methodology. Data Mining (DM) is the science of modelling and generalizing common patterns from large sets of multi-type data. DM is a part of KDD, which is the overall process for Knowledge Discovery in Databases. The accessibility and abundance of information today makes this a topic of particular importance and need. The book has three main parts complemented by appendices as well as software and project data that are accessible from the book‘s web site (http://www.eng.tau.ac.iV-maimonlifn-kdg￡). Part I (Chapters 1-4) starts with the topic of KDD and DM in general and makes reference to other works in the field, especially those related to the information theoretic approach. The remainder of the book presents our work, starting with the IFN theory and algorithms. Part II (Chapters 5-6) discusses the methodology of application and includes case studies. Then in Part III (Chapters 7-9) a comparative study is presented, concluding with some advanced methods and open problems. The IFN, being a generic methodology, applies to a variety of fields, such as | | 出版日期 | Book 2001 | | 關鍵詞 | addition; algorithms; computer science; data mining; database; fuzzy; information; information system; knowl | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4757-3296-2 | | isbn_softcover | 978-1-4419-4842-7 | | isbn_ebook | 978-1-4757-3296-2Series ISSN 1569-2698 Series E-ISSN 2468-8738 | | issn_series | 1569-2698 | | copyright | Springer-Verlag US 2001 |
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