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Principles of Data Mining

given. This will benefit readers of all levels, from those who use data mining via commercial packages, right through to academic researchers;

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Commercial Data Mining

Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there;

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Data Mining in Drug Discovery

Written for drug developers rather than computer scientists, this monograph adopts a systematic approach to mining scientifi c data sources;

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Educational Improvement Through Data Mining & Analytics

This book describes data analytics and data mining in the commercial world and how similar techniques (learner analytics and educational;

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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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Data Mining Models

Data mining has become the fastest growing topic of interest in business programs in the past decade. This book is intended to describe the;

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Data Mining

, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems;

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Data Mining

, commercial products, and future challenges. Three parts divide Data Mining: Part I describes technologies for data mining - database systems;

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Data Mining for Social Network Data

Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved;

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Recent Advances on Soft Computing and Data Mining

extract useful knowledge and obtain commercial value from the data. Also known as data-driven science, soft computing and data mining disciplines;

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Real World Data Mining Applications

Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the;

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Principles of Data Mining

This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful;

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Human Capital Systems, Analytics, and Data Mining

Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and;

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Human Capital Systems, Analytics, and Data Mining

Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and;

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R Data Mining

fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques. While moving along the plot of the;

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Post Mine Repeat

In this book, Helen Kennedy argues that as social media data mining becomes more and more ordinary, as we post, mine and repeat, new data;

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Process Mining

of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments;

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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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E Governance Data Center, Data Warehousing and Data Mining

in most fields of human activity, from commercial to scientific or industrial areas. Today, decision support, data mining, trend analysis and;

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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 and Statistics for Decision Making

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from;

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Getting Started with Business Analytics

for integrating business with analytics. The second part presents the technologies underlying business analytics: data mining and data;

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Data Mining

This book, Data Mining: The Data Mining Guide for Beginners, Including Applications for Business, Data Mining Techniques, Concepts, and;

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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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Preference-based Spatial Co-location Pattern Mining

The development of information technology has made it possible to collect large amounts of spatial data on a daily basis. It is of enormous;

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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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OLAP Solutions

, access, and calculation; also, new chapters added to combine OLAP with data warehouse, mining, and decision support tools - Teaches the best;

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