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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 Mining

Data Mining: A Tutorial-Based Primer, Second Edition provides a comprehensive introduction to data mining with a focus on model building;

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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 with R

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining;

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Data Mining with R

Data Mining with R: Learning with Case Studies, Second Edition uses practical examples to illustrate the power of R and data mining;

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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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Data Mining & Predictive Analytics

Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data;

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Data Mining Techniques 3rd

The leading introductory book on data mining, fully updated and revised! When Berry and Linoff wrote the first edition of Data Mining;

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Data Mining

revised and updated third edition of Data Mining contains in one volume an introduction to a systematic approach to the analysis of large data;

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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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Big Data Mining and Complexity

This book offers a much needed critical introduction to data mining and 'big data'. Supported by multiple case studies and examples, the;

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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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Process Mining

at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to;

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Matrix Methods in Data Mining and Pattern Recognition

computing/numerical analysis course and graduate students in data mining and pattern recognition areas who need an introduction to linear algebra;

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Introduction to Data Mining and its Applications

This book explores the concepts of data mining and data warehousing, a promising and flourishing frontier in database systems, and presents;

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Introduction to Econometrics, Global Edition

contemporary theories to life. Introduction to Econometrics, 4th Edition, Global Edition by Stock and Watson is the ultimate introductory guide that;

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Data Mining with Decision Trees

methods are constantly being improved and new methods introduced.This 2nd Edition is dedicated entirely to the field of decision trees in data;

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Data Mining for Global Trends in Mountain Biodiversity

in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva;

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Data Mining for Global Trends in Mountain Biodiversity

in biogeography, functional ecology, and evolutionary ecology has begun. In Data Mining for Global Trends in Mountain Biodiversity, Christian Korner, Eva;

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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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Making Sense of Data I

Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining, Second Edition focuses on basic data analysis approaches that;

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Statistical Data Mining Using SAS Applications

Statistical Data Mining Using SAS Applications, Second Edition describes statistical data mining concepts and demonstrates the features;

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Artificial Intelligence in Data Mining

Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI;

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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 Mining Business Projects - 2nd Edition

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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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