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The Handbook of Data Mining

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The;

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The Handbook of Data Mining

Created with the input of a distinguished International Board of the foremost authorities in data mining from academia and industry, The;

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Data Mining Techniques In Crm

This is an applied handbook for the application of data mining techniques in the CRM framework. It combines a technical and a business;

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Handbook of Educational Data Mining

Handbook of Educational Data Mining (EDM) provides a thorough overview of the current state of knowledge in this area. The first part;

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The Text Mining Handbook

new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion;

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Handbook of Statistical Analysis and Data Mining Applications

data mining algorithms and employ the right statistical methods for practical application. This book is an ideal reference for users;

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Advanced Data Mining and Applications

This book constitutes the proceedings of the 12th International Conference on Advanced Data Mining and Applications, ADMA 2016, held;

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Handbook of Research on Text and Web Mining Technologies

The massive daily overflow of electronic data to information seekers creates the need for better ways to digest and organize this;

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Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery

Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable;

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Advances on Data Mining: Applications and Theoretical Aspects

This book constitutes the refereed proceedings of the 11th Industrial Conference on Data Mining, ICDM 2011, held in New York, USA;

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Data Mining

knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains;

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Data Mining

knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains;

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Cube Based Incremental Data Mining

This work presents a cube-based approach for incremental data mining that operates on the data, rather than on the data mining algorithms;

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Data Mining with Microsoft SQL Server 2008

Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL;

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Data Mining

, and scalability of data mining techniques for large data sets. After an introduction to the concept of data mining, the authors;

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Biological Data Mining

. Each chapter is written by a distinguished team of interdisciplinary data mining researchers who cover state-of-the-art biological topics;

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Biological Data Mining

. Each chapter is written by a distinguished team of interdisciplinary data mining researchers who cover state-of-the-art biological topics;

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Data Mining and Applications in Genomics

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies;

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Data Mining and Applications in Genomics

Data Mining and Applications in Genomics contains the data mining algorithms and their applications in genomics, with frontier case studies;

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Next Generation of Data Mining

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation;

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Next Generation of Data Mining

Drawn from the US National Science Foundation's Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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Social Big Data Mining

This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social;

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The Mining Valuation Handbook 4e

An essential, in-depth guide to mining investment analysis Written by a mining investment expert, The Mining Valuation Handbook;

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Managing Data Mining Technologies in Organizations

Details the state-of-the-art data mining research, which reflects in a potpourri of chapters that demonstrate diverse use of techniques and;

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Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data

Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning;

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Temporal Data Mining

Temporal data mining deals with the harvesting of useful information from temporal data. New initiatives in health care and business;

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