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Computational Methods of Feature Selection Chapman HallCRC Data Mining and Knowledge Discovery Series
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Computational Methods of Feature Selection (Chapman & Hall ~ Tang J and Liu H Unsupervised feature selection for linked social media data Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining, (904-912) Saidi R, Aridhi S, Nguifo E and Maddouri M Feature extraction in protein sequences classification Proceedings of the ACM Conference on Bioinformatics .
Computational Methods of Feature Selection (Chapman & Hall ~ Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series) - Kindle edition by Liu, Huan, Motoda, Hiroshi. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Computational Methods of Feature Selection (Chapman & Hall/CRC Data Mining and Knowledge .
Computational methods of feature selection. Chapman & Hall ~ Request PDF / On Jan 1, 2007, Huan Liu and others published Computational methods of feature selection. Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, Taylor & Francis, New York .
Computational Methods of Feature Selection (Chapman & Hall ~ The book subsequently covers text classification, a new feature selection score, and both constraint-guided and aggressive feature selection. The final section examines applications of feature selection in bioinformatics, including feature construction as well as redundancy-, ensemble-, and penalty-based feature selection.
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Computational Methods of Feature Selection (Chapman & Hall ~ Synopsis Feature selection is an essential step for successful data mining applications and has practical significance in many areas, such as statistics, pattern recognition, machine learning, and knowledge discovery. Through a clear, concise, and coherent presentation of topics .
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