| 書目名稱 | Feature Extraction, Construction and Selection | | 副標題 | A Data Mining Perspe | | 編輯 | Huan Liu,Hiroshi Motoda | | 視頻video | http://file.papertrans.cn/342/341561/341561.mp4 | | 叢書名稱 | The Springer International Series in Engineering and Computer Science | | 圖書封面 |  | | 描述 | There is broad interest in feature extraction, construction, and selection among practitioners from statistics, pattern recognition, and data mining to machine learning. Data preprocessing is an essential step in the knowledge discovery process for real-world applications. This book compiles contributions from many leading and active researchers in this growing field and paints a picture of the state-of-art techniques that can boost the capabilities of many existing data mining tools. The objective of this collection is to increase the awareness of the data mining community about the research of feature extraction, construction and selection, which are currently conducted mainly in isolation. This book is part of our endeavor to produce a contemporary overview of modern solutions, to create synergy among these seemingly different branches, and to pave the way for developing meta-systems and novel approaches. Even with today‘s advanced computer technologies, discovering knowledge from data can still be fiendishly hard due to the characteristics of the computer generated data. Feature extraction, construction and selection are a set of techniques that transform and simplify data so a | | 出版日期 | Book 1998 | | 關鍵詞 | algorithms; data analysis; data mining; genetic algorithms; knowledge discovery; learning; machine learnin | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4615-5725-8 | | isbn_softcover | 978-1-4613-7622-4 | | isbn_ebook | 978-1-4615-5725-8Series ISSN 0893-3405 | | issn_series | 0893-3405 | | copyright | Springer Science+Business Media New York 1998 |
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