{"product_id":"data-mining-and-statistics-for-decision-making-hardcover","title":"Data Mining and Statistics for Decision Making - Hardcover","description":"\u003cp\u003eby \u003cb\u003eStéphane Tufféry\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eData mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives.\u003c\/p\u003e \u003cp\u003eThis book looks at both classical and recent techniques of data mining, such as clustering, discriminant analysis, logistic regression, generalized linear models, regularized regression, PLS regression, decision trees, neural networks, support vector machines, Vapnik theory, naive Bayesian classifier, ensemble learning and detection of association rules. They are discussed along with illustrative examples throughout the book to explain the theory of these methods, as well as their strengths and limitations.\u003c\/p\u003e \u003cp\u003e Key Features: \u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents a comprehensive introduction to all techniques used in data mining and statistical learning, from classical to latest techniques.\u003c\/li\u003e \u003cli\u003eStarts from basic principles up to advanced concepts.\u003c\/li\u003e \u003cli\u003eIncludes many step-by-step examples with the main software (R, SAS, IBM SPSS) as well as a thorough discussion and comparison of those software.\u003c\/li\u003e \u003cli\u003eGives practical tips for data mining implementation to solve real world problems.\u003c\/li\u003e \u003cli\u003eLooks at a range of tools and applications, such as association rules, web mining and text mining, with a special focus on credit scoring.\u003c\/li\u003e \u003cli\u003eSupported by an accompanying website hosting datasets and user analysis.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eStatisticians and business intelligence analysts, students as well as computer science, biology, marketing and financial risk professionals in both commercial and government organizations across all business and industry sectors will benefit from this book.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eData Mining and Statistics for Decision Making\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eStéphane Tufféry\u003c\/b\u003e, Universitie of Paris-Dauphine, France\u003c\/p\u003e \u003cp\u003eData mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover patterns on which to base marketing objectives.\u003c\/p\u003e \u003cp\u003eThis book looks at both classical and modern methods of data mining, such as clustering, discriminate analysis, decision trees, neural networks and support vector machines along with illustrative examples throughout the book to explain the theory of these models. Recent methods such as bagging and boosting, decision trees, neural networks, support vector machines and genetic algorithm are also discussed along with their advantages and disadvantages.\u003c\/p\u003e \u003cp\u003eKey Features: \u003c\/p\u003e \u003cul\u003e \u003cli\u003ePresents a comprehensive introduction to all techniques used in data mining and statistical learning.\u003c\/li\u003e \u003cli\u003eIncludes coverage of data mining with R as well as a thorough comparison of the two industry leaders, SAS and SPSS.\u003c\/li\u003e \u003cli\u003eGives practical tips for data mining implementation as well as the latest techniques and state of the art theory.\u003c\/li\u003e \u003cli\u003eLooks at a range of methods, tools and applications, such as scoring to web mining and text mining and presents their advantages and disadvantages.\u003c\/li\u003e \u003cli\u003eSupported by an accompanying website hosting datasets and user analysis.\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eBusiness intelligence analysts and statisticians, compliance and financial experts in both commercial and government organizations across all industry sectors will benefit from this book.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDr Stephane Tuffery\u003c\/b\u003e teaches Data Mining and statistics, University Rennes 1, Paris, France.\u003c\/p\u003e \u003cp\u003eTranslator, \u003cb\u003eRod Riesco\u003c\/b\u003e, UK.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 720\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.7 x 9.8 x 6.9 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 18, 2011\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42736921378879,"sku":"9780470688298","price":195.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/c2c9c5d262395c9b211969613d41356d.webp?v=1765148286","url":"https:\/\/dhlswag.com\/products\/data-mining-and-statistics-for-decision-making-hardcover","provider":"BBB","version":"1.0","type":"link"}