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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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Principles of Data Mining

The first truly interdisciplinary text on data mining, blending the contributions of information science, computer science, and statistics;

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R Data Mining

Mine valuable insights from your data using popular tools and techniques in R About This Book * Understand the basics of data mining;

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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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Computational Medicine in Data Mining and Modeling

further the knowledge in the medical domain. The authors focus on applying data mining to the medical domain, including mining the sets;

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Data Mining Algorithms

Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for;

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Machine Learning for Data Mining

Get efficient in performing data mining and machine learning using IBM SPSS Modeler Key Features Learn how to apply machine learning;

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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

Data Mining: Concepts and Techniques, Fourth Edition introduces concepts, principles, and methods for mining patterns, knowledge;

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Service-Oriented Distributed Knowledge Discovery

A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often;

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Service-Oriented Distributed Knowledge Discovery

A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often;

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5th International Symposium on Data Mining Applications

The 5th Symposium on Data Mining Applications (SDMA 2018) provides valuable opportunities for technical collaboration among data mining and;

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Utilizing Educational Data Mining Techniques for Improved Learning

intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science;

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Utilizing Educational Data Mining Techniques for Improved Learning

intelligence, data and web mining techniques on dedicated cloud or grid platforms for educational institutes can be used. By utilizing data science;

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Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected;

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Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Metalearning

learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good;

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Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2015 Workshops

Knowledge Discovery and Data Mining in Ho Chi Minh City, Vietnam, in May 2015. The 23 revised papers presented were carefully reviewed and selected;

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Data Warehousing and Knowledge Discovery

tools, data warehouse performance and optimization, pattern mining, matrix-based mining techniques and stream, sensor and time-series mining.;

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Contemporary Perspectives in Data Mining

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data;

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Contemporary Perspectives in Data Mining

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data;

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Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

in Knowledge Discovery and Data Mining, PAKDD 2016, held in Auckland, New Zealand, in April 2016. The 91 full papers were carefully reviewed;

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Knowledge Discovery Process and Methods to Enhance Organizational Performance

Although the terms data mining and knowledge discovery and data mining (KDDM) are sometimes used interchangeably, data mining;

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