Temporal and Spatio-Temporal 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 Temporal and Spatio-Temporal Data Mining write by Hsu, Wynne. This book was released on 2007-07-31. Temporal and Spatio-Temporal Data Mining available in PDF, EPUB and Kindle. "This book presents probable solutions when discovering the spatial sequence patterns by incorporating the information into the sequence of patterns, and introduces new classes of spatial sequence patterns, called flow and generalized spatio-temporal patterns, addressing different scenarios in spatio-temporal data by modeling them as graphs, providing a comprehensive synopsis on two successful partition-based algorithms designed by the authors"--Provided by publisher.
Temporal Data Mining
Temporal 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 Temporal Data Mining write by Theophano Mitsa. This book was released on 2010-03-10. Temporal Data Mining available in PDF, EPUB and Kindle. From basic data mining concepts to state-of-the-art advances, this book covers the theory of the subject as well as its application in a variety of fields. It discusses the incorporation of temporality in databases as well as temporal data representation, similarity computation, data classification, clustering, pattern discovery, and prediction. The book also explores the use of temporal data mining in medicine and biomedical informatics, business and industrial applications, web usage mining, and spatiotemporal data mining. Along with various state-of-the-art algorithms, each chapter includes detailed references and short descriptions of relevant algorithms and techniques described in other references.
Mining Spatio-Temporal Information Systems
Mining Spatio-Temporal Information Systems - 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 Spatio-Temporal Information Systems write by Roy Ladner. This book was released on 2012-12-06. Mining Spatio-Temporal Information Systems available in PDF, EPUB and Kindle. Mining Spatio-Temporal Information Systems, an edited volume is composed of chapters from leading experts in the field of Spatial-Temporal Information Systems and addresses the many issues in support of modeling, creation, querying, visualizing and mining. Mining Spatio-Temporal Information Systems is intended to bring together a coherent body of recent knowledge relating to STIS data modeling, design, implementation and STIS in knowledge discovery. In particular, the reader is exposed to the latest techniques for the practical design of STIS, essential for complex query processing. Mining Spatio-Temporal Information Systems is structured to meet the needs of practitioners and researchers in industry and graduate-level students in Computer Science.
Mining Spatio-temporal Data
Mining Spatio-temporal Data - 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 Spatio-temporal Data write by Gennady Adrienko. This book was released on 2006. Mining Spatio-temporal Data available in PDF, EPUB and Kindle.
Advanced Data Mining and Applications
Advanced Data Mining and Applications - 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 Advanced Data Mining and Applications write by Xue Li. This book was released on 2006-07-26. Advanced Data Mining and Applications available in PDF, EPUB and Kindle. Here are the proceedings of the 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China, August 2006. The book presents 41 revised full papers and 74 revised short papers together with 4 invited papers. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, and more.
