{"product_id":"9781118004401-rough-fuzzy-pattern-recognition","title":"Rough-Fuzzy Pattern Recognition","description":"\u003cmeta content=\"text\/html; charset=utf-8\" http-equiv=\"Content-Type\"\u003e\u003cp\u003e\u003cspan\u003eApplications in Bioinformatics and Medical Imaging\u003cbr\u003eThis book provides a unified framework describing how rough-fuzzy computing techniques can be formulated and used in building efficient pattern recognition models. Based on the existing as well as new results, the book is structured according to the major phases of a pattern recognition system (e.g.\u003cbr\u003e\u003cp\u003e\u003cb\u003eLearn how to apply rough-fuzzy computing techniques to solve problems in bioinformatics and medical image processing\u003c\/b\u003e  \u003c\/p\u003e\n\u003cp\u003eEmphasizing applications in bioinformatics and medical image processing, this text offers a clear framework that enables readers to take advantage of the latest rough-fuzzy computing techniques to build working pattern recognition models. The authors explain step by step how to integrate rough sets with fuzzy sets in order to best manage the uncertainties in mining large data sets. Chapters are logically organized according to the major phases of pattern recognition systems development, making it easier to master such tasks as classification, clustering, and feature selection. \u003c\/p\u003e\n\u003cp\u003e\u003ci\u003eRough-Fuzzy Pattern Recognition\u003c\/i\u003e examines the important underlying theory as well as algorithms and applications, helping readers see the connections between theory and practice. The first chapter provides an introduction to pattern recognition and data mining, including the key challenges of working with high-dimensional, real-life data sets. Next, the authors explore such topics and issues as: \u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eSoft computing in pattern recognition and data mining\u003c\/li\u003e\n\u003cli\u003eA mathematical framework for generalized rough sets, incorporating the concept of fuzziness in defining the granules as well as the set\u003c\/li\u003e\n\u003cli\u003eSelection of non-redundant and relevant features of real-valued data sets\u003c\/li\u003e\n\u003cli\u003eSelection of the minimum set of basis strings with maximum information for amino acid sequence analysis\u003c\/li\u003e\n\u003cli\u003eSegmentation of brain MR images for visualization of human tissues\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eNumerous examples and case studies help readers better understand how pattern recognition models are developed and used in practice. This textcovering the latest findings as well as directions for future researchis recommended for both students and practitioners working in systems design, pattern recognition, image analysis, data mining, bioinformatics, soft computing, and computational intelligence.\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003c\/span\u003e\u003c\/p\u003e","brand":"Rarewaves","offers":[{"title":"Default Title","offer_id":55178445455734,"sku":"9781118004401","price":122.08,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0092\/7504\/8033\/files\/orig_26821940.jpg?v=1737596062","url":"https:\/\/www.rarewaves.com\/products\/9781118004401-rough-fuzzy-pattern-recognition","provider":"Rarewaves.com","version":"1.0","type":"link"}