{"product_id":"uncertainty-modeling-for-data-mining-a-label-semantics-approach-hardcover","title":"Uncertainty Modeling for Data Mining: A Label Semantics Approach - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eZengchang Qin\u003c\/b\u003e (Author), \u003cb\u003eYongchuan Tang\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMachine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. \u003ci\u003eUncertainty Modeling for Data Mining: A Label Semantics Approach\u003c\/i\u003e introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eZengchang Qin\u003c\/b\u003e is an associate professor at the School of Automation Science and Electrical Engineering, Beihang University, China; \u003cb\u003eYongchuan Tang\u003c\/b\u003e is an associate professor at the College of Computer Science, Zhejiang University, China.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003eMachine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. \u003ci\u003eUncertainty Modeling for Data Mining: A Label Semantics Approach\u003c\/i\u003e introduces 'label semantics', a fuzzy-logic-based theory for modeling uncertainty. Several new data mining algorithms based on label semantics are proposed and tested on real-world datasets. A prototype interpretation of label semantics and new prototype-based data mining algorithms are also discussed. This book offers a valuable resource for postgraduates, researchers and other professionals in the fields of data mining, fuzzy computing and uncertainty reasoning. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cb\u003eZengchang Qin\u003c\/b\u003e is an associate professor at the School of Automation Science and Electrical Engineering, Beihang University, China; \u003cb\u003eYongchuan Tang\u003c\/b\u003e is an associate professor at the College of Computer Science, Zhejiang University, China.\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 291\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.9 x 9.2 x 6.2 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e March 07, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":48704300581113,"sku":"9783642412509","price":176.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/yEno_NRQQk9783642412509.webp?v=1784811816","url":"https:\/\/bookscloud.io\/products\/uncertainty-modeling-for-data-mining-a-label-semantics-approach-hardcover","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}