{"title":"Amparo Alonsobetanzos","description":null,"products":[{"product_id":"recent-advances-in-ensembles-for-feature-selection-book-amparo-alonsobetanzos-9783319900797","title":"Recent Advances in Ensembles for Feature Selection","description":"This book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52120616501521,"sku":"NLS9783319900797","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783319900797.jpg?v=1787050244"},{"product_id":"feature-selection-for-high-dimensional-data-book-noelia-snchezmaroo-9783319218571","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":"- \/ - \/ INTERNAL","offer_id":52401584210193,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52401584800017,"sku":"NLS9783319218571","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783319218571.jpg?v=1787941491"},{"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":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783319366432.jpg?v=1786615788"},{"product_id":"recent-advances-in-ensembles-for-feature-selection-book-amparo-alonsobetanzos-9783030079291","title":"Recent Advances in Ensembles for Feature Selection","description":"\u003cp\u003eThis book offers a comprehensive overview of ensemble learning in the field of feature selection (FS), which consists of combining the output of multiple methods to obtain better results than any single method. It reviews various techniques for combining partial results, measuring diversity and evaluating ensemble performance. \u003c\/p\u003e\n\n\u003cp\u003eWith the advent of Big Data, feature selection (FS) has become more necessary than ever to achieve dimensionality reduction. With so many methods available, it is difficult to choose the most appropriate one for a given setting, thus making the ensemble paradigm an interesting alternative.\u003c\/p\u003e\n\n\u003cp\u003eThe authors first focus on the foundations of ensemble learning and classical approaches, before diving into the specific aspects of ensembles for FS, such as combining partial results, measuring diversity and evaluating ensemble performance. Lastly, the book shows examples of successful applications of ensembles for FS and introduces the new challenges thatresearchers now face. As such, the book offers a valuable guide for all practitioners, researchers and graduate students in the areas of machine learning and data mining. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52668177350929,"sku":"NLS9783030079291","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":53356721340689,"sku":"NGR9783030079291","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783030079291.jpg?v=1762284371"}],"url":"https:\/\/www.worldofbooks.com\/collections\/author-books-by-amparo-alonsobetanzos.oembed","provider":"World of Books ","version":"1.0","type":"link"}