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.
Temporal and Spatio-Temporal Data Mining
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.
Time Granularities in Databases, Data Mining, and Temporal Reasoning
Time Granularities in Databases, Data Mining, and Temporal Reasoning - 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 Time Granularities in Databases, Data Mining, and Temporal Reasoning write by Claudio Bettini. This book was released on 2013-06-29. Time Granularities in Databases, Data Mining, and Temporal Reasoning available in PDF, EPUB and Kindle. Calendar and time units and specialized units, such as business days and academic years, play a major role in a wide range of information system applications. System support for reasoning about these units, called granularities, is important for the efficient design, use, and implementation of such applications. This book deals with several aspects of temporal information and provides a unifying model for granularities. Practitioners can learn about critical aspects that must be taken into account when designing and implementing databases supporting temporal information.
Temporal, Spatial, and Spatio-Temporal Data Mining
Temporal, Spatial, 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, Spatial, and Spatio-Temporal Data Mining write by John F. Roddick. This book was released on 2014-01-15. Temporal, Spatial, and Spatio-Temporal Data Mining available in PDF, EPUB and Kindle.
Temporal Data Mining via Unsupervised Ensemble Learning
Temporal Data Mining via Unsupervised Ensemble Learning - 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 via Unsupervised Ensemble Learning write by Yun Yang. This book was released on 2016-11-15. Temporal Data Mining via Unsupervised Ensemble Learning available in PDF, EPUB and Kindle. Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental knowledge and techniques, along with a rich blend of theory and practice. Furthermore, the book includes illustrations of the proposed approaches based on data and simulation experiments to demonstrate all methodologies, and is a guide to the proper usage of these methods. As there is nothing universal that can solve all problems, it is important to understand the characteristics of both clustering algorithms and the target temporal data so the correct approach can be selected for a given clustering problem. Scientists, researchers, and data analysts working with machine learning and data mining will benefit from this innovative book, as will undergraduate and graduate students following courses in computer science, engineering, and statistics. Includes fundamental concepts and knowledge, covering all key tasks and techniques of temporal data mining, i.e., temporal data representations, similarity measure, and mining tasks Concentrates on temporal data clustering tasks from different perspectives, including major algorithms from clustering algorithms and ensemble learning approaches Presents a rich blend of theory and practice, addressing seminal research ideas and looking at the technology from a practical point-of-view
