Sequence Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Sequence Data Mining write by Guozhu Dong. This book was released on 2007-10-31. Sequence Data Mining available in PDF, EPUB and Kindle. Understanding sequence data, and the ability to utilize this hidden knowledge, will create a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. This book provides thorough coverage of the existing results on sequence data mining as well as pattern types and associated pattern mining methods. It offers balanced coverage on data mining and sequence data analysis, allowing readers to access the state-of-the-art results in one place.
Pattern Discovery Using Sequence Data Mining
Pattern Discovery Using Sequence Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pattern Discovery Using Sequence Data Mining write by Pradeep Kumar. This book was released on 2011-07-01. Pattern Discovery Using Sequence Data Mining available in PDF, EPUB and Kindle. "This book provides a comprehensive view of sequence mining techniques, and present current research and case studies in Pattern Discovery in Sequential data authored by researchers and practitioners"--
Mining Sequential Patterns from Large Data Sets
Mining Sequential Patterns from Large Data Sets - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Mining Sequential Patterns from Large Data Sets write by Wei Wang. This book was released on 2005-07-26. Mining Sequential Patterns from Large Data Sets available in PDF, EPUB and Kindle. In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied models to capture such characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. In this book, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only study the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns. The objective of this book is to provide computer scientists and domain - perts such as life scientists with a set of tools in analyzing and understanding the nature of various sequences by : (1) identifying the specific model(s) of - quential patterns that are most suitable, and (2) providing an efficient algorithm for mining these patterns. Chapter 1 INTRODUCTION Data Mining is the process of extracting implicit knowledge and discovery of interesting characteristics and patterns that are not explicitly represented in the databases. The techniques can play an important role in understanding data and in capturing intrinsic relationships among data instances. Data mining has been an active research area in the past decade and has been proved to be very useful.
Principles of Data Mining and Knowledge Discovery
Principles of Data Mining and Knowledge Discovery - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Principles of Data Mining and Knowledge Discovery write by Jan Zytkow. This book was released on 1999-09-01. Principles of Data Mining and Knowledge Discovery available in PDF, EPUB and Kindle. This book constitutes the refereed proceedings of the Third European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD'99, held in Prague, Czech Republic in September 1999. The 28 revised full papers and 48 poster presentations were carefully reviewed and selected from 106 full papers submitted. The papers are organized in topical sections on time series, applications, taxonomies and partitions, logic methods, distributed and multirelational databases, text mining and feature selection, rules and induction, and interesting and unusual issues.
Pattern Discovery Using Sequence Data Mining
Pattern Discovery Using Sequence Data Mining - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Pattern Discovery Using Sequence Data Mining write by Pradeep Kumar. This book was released on 2012. Pattern Discovery Using Sequence Data Mining available in PDF, EPUB and Kindle. "This book provides a comprehensive view of sequence mining techniques, and present current research and case studies in Pattern Discovery in Sequential data authored by researchers and practitioners"--
