{"product_id":"feature-selection-for-high-dimensional-data-book-amparo-alonsobetanzos-9783319366432","title":"Feature Selection for High-Dimensional Data","description":"\u003cp\u003eThis book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data.\u003c\/p\u003e\u003cp\u003eThe authors first focus on the analysis and synthesis of feature selection algorithms, presenting a comprehensive review of basic concepts and experimental results of the most well-known algorithms. \u003c\/p\u003e\u003cp\u003eThey then address different real scenarios with high-dimensional data, showing the use of feature selection algorithms in different contexts with different requirements and information: microarray data, intrusion detection, tear film lipid layer classification and cost-based features. The book then delves into the scenario of big dimension, paying attention to important problems under high-dimensional spaces, such as scalability, distributed processing and real-time processing, scenarios that open up new and interesting challenges for researchers.\u003c\/p\u003e\u003cp\u003eThe book is useful for practitioners, researchers and graduate students in the areas of machine learning and data mining.\u003c\/p\u003e","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52595691782417,"sku":"NLS9783319366432","price":80.49,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783319366432.jpg?v=1786615788","url":"https:\/\/www.worldofbooks.com\/products\/feature-selection-for-high-dimensional-data-book-amparo-alonsobetanzos-9783319366432","provider":"World of Books ","version":"1.0","type":"link"}