## Handbook of Statistical Analysis and Data Mining Applications : applications, second edition, is a comprehensive professional reference

Handbook of Statistical Analysis and Data Mining Applications book that guides business analysts, scientists, engineers and researchers, both academic...

Author : Robert Nisbetresearchers, both academic and industrial, through all stages of data analysis,

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discern technical and business problems, understand the strengths and weaknesses of## Handbook of Statistical Analysis and Data Mining Applications : mining applications is a comprehensive

Handbook of Statistical Analysis and Data Mining Applications that guides business analysts, scientists, engineers and researchers (both academic and industrial) through all stages of...

Author : Robert Nisbet(both academic and industrial) through all stages of data analysis, model building and implementation. The Handbook

Publisher : Academic Pressdata analysis, model building and implementation. The Handbook helps one discern the technical and business problem,

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the technical and business problem, understand the strengths and weaknesses of modern data mining algorithms, and## Handbook of Statistical Analysis and Data Mining Applications : mining applications, second edition, "is a comprehensive professional

Handbook of Statistical Analysis and Data Mining Applications reference book that guides business analysts, scientists, engineers, and researchers, both academic and industrial,...

Author : Gary Minerand researchers, both academic and industrial, through all stages of data analysis, model building,

Publisher : Academic Pressstages of data analysis, model building, and implementation. The handbook helps users discern the

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users discern the technical and business problems, understand the strengths and weaknesses of modern## Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications : non-structured text data applications brings

Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications information, tools and methods a professional will need to efficiently use...

Author : Gary Minerto efficiently use text mining applications and statistical analysis. Winner of

Publisher : Academic Pressanalysis. Winner of a 2012 PROSE Award in Computing and Information

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Sciences from the Association of American Publishers, this book presents a## Data Mining and Data Visualization : dealing with large-scale data, a

Data Mining and Data Visualization to as data mining. The book is divided into three sections. The first deals with...

Author : no definedinto three sections. The first deals with an introduction to statistical aspects of data mining

Publisher : Elsevierintroduction to statistical aspects of data mining and machine learning and includes applications to text

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includes applications to text analysis, computer intrusion detection, and hiding of information in digital files.## Applied Data Mining : process of selection, exploration and modelling of large

Applied Data Mining databases, in order to discover models and patterns. The increasing availability...

Author : Paolo GiudiciThe increasing availability of data in the current information society has

Publisher : John Wiley & Sonsinformation society has led to the need for valid tools for

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its modelling and analysis. Data mining and applied statistical methods are## The Handbook of Data Mining : international board of the foremost authorities in data

The Handbook of Data Mining mining from academia and industry, The Handbook of Data Mining presents comprehensive coverage of data mining...

Author : Nong YeData Mining presents comprehensive coverage of data mining concepts and techniques. Algorithms, methodologies, management issues, and

Publisher : CRC Pressconcepts and techniques. Algorithms, methodologies, management issues, and tools are all illustrated through engaging examples and

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illustrated through engaging examples and real-world applications to ease understanding of the materials. This book is## Ensemble Methods in Data Mining : influential development in data mining

Ensemble Methods in Data Mining in the past decade. They combine multiple models into one usually more accurate than the...

Author : Giovanni Seniinto one usually more accurate than the best of its components. Ensembles can provide a

Publisher : Morgan & Claypool Publishersof its components. Ensembles can provide a critical boost to industrial challenges -- from investment

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challenges -- from investment timing to drug discovery, and fraud detection to recommendation systems --## Statistical and Machine-Learning Data Mining : and machine-learning data mining: techniques

Statistical and Machine-Learning Data Mining Modeling and Analysis of Big Data is still the only book,...

Author : Bruce Ratnerthe only book, to date, to distinguish between statistical data mining

Publisher : CRC Pressstatistical data mining and machine-learning data mining. The first edition, titled

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Statistical Modeling and Analysis for Database Marketing: Effective Techniques for Mining## Data Mining and Knowledge Discovery Handbook : all major concepts, theories, methodologies, trends, challenges and

Data Mining and Knowledge Discovery Handbook applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository....

Author : Oded Maimonin databases (KDD) into a coherent and unified repository. This book first surveys, then provides comprehensive yet

Publisher : Springer Science & Business Mediarepository. This book first surveys, then provides comprehensive yet concise algorithmic descriptions of methods, including classic methods

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descriptions of methods, including classic methods plus the extensions and novel methods developed recently. This volume concludes## Data Mining and Statistics for Decision Making : searching large volumes of data for

Data Mining and Statistics for Decision Making patterns using computational techniques from statistics, machine learning and information theory; it is the...

Author : Stéphane Tufféryand information theory; it is the ideal tool for such an extraction of knowledge.

Publisher : John Wiley & Sonsfor such an extraction of knowledge. Data mining is usually associated with a business

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with a business or an organization's need to identify trends and profiles, allowing, for## Statistics, Data Mining, and Machine Learning in Astronomy : more powerful, the volume of data

Statistics, Data Mining, and Machine Learning in Astronomy disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of...

Author : Željko Ivezićpetabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and

Publisher : Princeton University Presscelestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed

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the cutting-edge statistical methods needed to efficiently analyze complex data sets from astronomical surveys such as