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

the basic concepts and some of the more popular algorithms of data mining. With a focus on the hands-on end-to-end process for data mining;

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Service-Oriented Distributed Knowledge Discovery

key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and;

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Service-Oriented Distributed Knowledge Discovery

key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and;

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Statistical Data Analytics

introduction to statistical methods for data mining and knowledge discovery. Extensive solutions using actual data (with sample R programming code) are;

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Trends and Applications in Knowledge Discovery and Data Mining

selected from 179 submissions. The workshops affiliated with PAKDD 2014 include: Data Analytics for Targeted Healthcare, DANTH; Data Mining and;

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Data Mining Methods for Knowledge Discovery

chapter comes with an extensive bibliography. Data Mining Methods for Knowledge Discovery is intended for senior undergraduate and graduate;

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Educational Data Mining with R and Rattle

mining implementation using R and Rattle open source data mining tools. . Technical topics discussed in the book include: * Emerging Research;

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Geographic Data Mining and Knowledge Discovery

first edition of Geographic Data Mining and Knowledge Discovery, new techniques for geographic data warehousing (GDW), spatial data mining, and;

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Knowledge Discovery in the Social Sciences

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and;

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Knowledge Discovery in the Social Sciences

Knowledge Discovery in the Social Sciences helps readers find valid, meaningful, and useful information. It is written for researchers and;

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Knowledge Discovery Process and Methods to Enhance Organizational Performance

Methods to Enhance Organizational Performance explains the knowledge discovery and data mining (KDDM) process in a manner that makes it easy for;

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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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Trends and Applications in Knowledge Discovery and Data Mining

Pacific-Asia Conference on Knowledge Discovery and Data Mining in Auckland, New Zealand, in April 2016. The 23 revised papers presented;

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Data Mining and Knowledge Discovery for Geoscientists

mining software and in selecting the most appropriate algorithms for a given application. This leads to a paradoxical scenario of "rich data but;

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Machine Learning and Data Mining

an introduction to the main issues associated with the basics of machine learning and the algorithms used in data mining. Suitable for;

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Biologically-Inspired Techniques for Knowledge Discovery and Data Mining

communities of data mining and knowledge discovery, as well as for academicians and students in the field.;

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Big Data Analytics and Knowledge Discovery

The volume LNCS 12393 constitutes the papers of the 22nd International Conference Big Data Analytics and Knowledge Discovery which will be;

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Advances in Knowledge Discovery and Data Mining

Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected;

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Advances in Knowledge Discovery and Data Mining

Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected;

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Advances in Knowledge Discovery and Data Mining

Data Mining, PAKDD 2021, which was held during May 11-14, 2021.The 157 papers included in the proceedings were carefully reviewed and selected;

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Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories

perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining;

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Advances in Knowledge Discovery and Data Mining

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held;

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Soft Computing for Knowledge Discovery and Data Mining

Data Mining is the science and technology of exploring large and complex bodies of data in order to discover useful patterns. It;

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Trends and Applications in Knowledge Discovery and Data Mining

Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, in Singapore, Singapore, in May 2020. The 17 revised full;

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Trends and Applications in Knowledge Discovery and Data Mining

Pacific-Asia Conference on Knowledge Discovery and Data Mining in May 2017 in Jeju, South Korea. The 17 revised papers presented were carefully;

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Multimedia Data Mining

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines;

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Multimedia Data Mining

Collecting the latest developments in the field, Multimedia Data Mining: A Systematic Introduction to Concepts and Theory defines;

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