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Introduction to Data Mining for the Life Sciences

Data mining provides a set of new techniques to integrate, synthesize, and analyze tdata, uncovering the hidden patterns that exist within;

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Data Mining for the Social Sciences

incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the;

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Data Mining for the Social Sciences

incorporate data mining methodologies in their analytical toolkits. Data Mining for the Social Sciences demystifies the process by describing the;

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Data Mining for Systems Biology

sciences, as well as for the scientists and engineers who are working on developing data-driven techniques, such as databases, data sciences, data;

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Data Mining Methods for Knowledge Discovery

Data Mining Methods for Knowledge Discovery provides an introduction to the data mining methods that are frequently used in the process;

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Database Technology For Life Sciences And Medicine

sciences who want to be updated about the possibilities of database technology in their field, this volume will also be inspiring for students and;

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Introduction to Data Mining

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each major;

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Introduction to Data Mining, Global Edition

Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept;

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Data Integration in the Life Sciences

, akeycomponentforsemanticintegration;Web servicesasanimportanttechn- ogy for data integration in the life sciences; data and text mining techniques for discovering and;

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Knowledge Discovery in the Social Sciences

. Readers will learn to: * appreciate the role of data mining in scientific research * develop an understanding of fundamental concepts;

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Knowledge Discovery in the Social Sciences

. Readers will learn to: * appreciate the role of data mining in scientific research * develop an understanding of fundamental concepts;

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Data Mining

have been added to the second edition including an introduction to Big Data and data analytics, ROC curves, Pareto lift charts, methods for;

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Data Integration in the Life Sciences

This book constitutes the refereed proceedings of the 9th International Conference on Data Integration in the Life Sciences, DILS 2013;

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Introduction to Data Mining

Introducing the fundamental concepts and algorithms of data mining Introduction to Data Mining, 2nd Edition, gives a comprehensive;

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Data Mining

This primer on data mining provides an introduction to the principles and techniques for extracting information from a business-minded;

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Data Mining and Applications in Genomics

provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and;

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Data Mining and Applications in Genomics

provides a systematic introduction to the use of data mining algorithms as an investigative tool for applications in genomics. Data Mining and;

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Machine Interpretation Of Patterns

of Patterns: Image Analysis and Data Mining is an essential and invaluable resource for professionals and advanced graduates in computer science;

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Introduction to Data Mining

, database systems and machine learning. Data mining aims to transform the information derived from a data set into a comprehensible structure for;

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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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Data Mining

of management and engineering design problems. Data Mining is organised into two parts: the first provides a focused introduction to data mining and;

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Introduction to Statistical Data Analysis for the Life Sciences

for the Life Sciences, Second Edition presents the right balance of data examples, statistical theory, and computing to teach introductory;

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The Mathematical Sciences' Role in Homeland Security

Mathematical sciences play a key role in many important areas of Homeland Security including data mining and image analysis and voice;

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Analysis of Microarray Gene Expression Data

ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis. The contribution of this book is to provide;

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Data Mining Methods for the Content Analyst

Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced;

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Data Mining Methods for the Content Analyst

Leetaru introduces the approaches, strategies, and methodologies of current data mining techniques, offering insights for new and experienced;

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Data Mining and Learning Analytics

, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data;

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