Author: Publisher:
ISBN:
Category : Data mining
Languages : en
Pages : 787
Book Description
2002 IEEE International Conference on Data Mining
Author: 2002 IEEE International Conference on Data Mining
Author: Vipin KumarPublisher: IEEE
ISBN: 9780769517544
Category : Computers
Languages : en
Pages : 787
Book Description
Consists of 72 full papers and 49 short papers from the December 2002 conference on the design, analysis, and implementation of data mining theory, systems, and applications. Topics of the full papers include evolutionary time series segmentation for stock data mining, cluster merging and splitting
ICDM '02, the 2002 IEEE International Conference on Data Mining
Author: Data Mining (Icdm 2002), 2002 IEEE International Conference
Author: Ieee International Conference On Data MiningPublisher: IEEE
ISBN: 9780769517551
Category : Computers
Languages : en
Pages : 400
Book Description
2002 IEEE International Conference on Data Mining
Author: Vipin KumarPublisher: IEEE Computer Society Press
ISBN: 9780769517544
Category : Computers
Languages : en
Pages : 816
Book Description
Consists of 72 full papers and 49 short papers from the December 2002 conference on the design, analysis, and implementation of data mining theory, systems, and applications. Topics of the full papers include evolutionary time series segmentation for stock data mining, cluster merging and splitting
Data Mining and Data Visualization
Author: Publisher: Elsevier
ISBN: 0080459404
Category : Mathematics
Languages : en
Pages : 660
Book Description
Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights
Proceedings of the Fourth SIAM International Conference on Data Mining
Author: Michael W. BerryPublisher: SIAM
ISBN: 9780898715682
Category : Mathematics
Languages : en
Pages : 556
Book Description
The Fourth SIAM International Conference on Data Mining continues the tradition of providing an open forum for the presentation and discussion of innovative algorithms as well as novel applications of data mining. This is reflected in the talks by the four keynote speakers who discuss data usability issues in systems for data mining in science and engineering, issues raised by new technologies that generate biological data, ways to find complex structured patterns in linked data, and advances in Bayesian inference techniques. This proceedings includes 61 research papers.
Data Mining; Proceedings
Author: IEEE Computer Society PressPublisher:
ISBN: 9780769530185
Category : Data mining
Languages : en
Pages : 771
Book Description
Web Mining Applications in E-Commerce and E-Services
Author: I-Hsien TingPublisher: Springer Science & Business Media
ISBN: 3540880801
Category : Mathematics
Languages : en
Pages : 181
Book Description
Web mining has become a popular area of research, integrating the different research areas of data mining and the World Wide Web. According to the taxonomy of Web mining, there are three sub-fields of Web-mining research: Web usage mining, Web content mining and Web structure mining. These three research fields cover most content and activities on the Web. With the rapid growth of the World Wide Web, Web mining has become a hot topic and is now part of the mainstream of Web - search, such as Web information systems and Web intelligence. Among all of the possible applications in Web research, e-commerce and e-services have been iden- fied as important domains for Web-mining techniques. Web-mining techniques also play an important role in e-commerce and e-services, proving to be useful tools for understanding how e-commerce and e-service Web sites and services are used, e- bling the provision of better services for customers and users. Thus, this book will focus upon Web-mining applications in e-commerce and e-services. Some chapters in this book are extended from the papers that presented in WMEE 2008 (the 2nd International Workshop for E-commerce and E-services). In addition, we also sent invitations to researchers that are famous in this research area to contr- ute for this book. The chapters of this book are introduced as follows: In chapter 1, Peter I.
Data Mining Techniques in Grid Computing Environments
Author: Werner DubitzkyPublisher: John Wiley & Sons
ISBN: 0470699892
Category : Medical
Languages : en
Pages : 288
Book Description
Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them. This book provides a simultaneous design blueprint, user guide, and research agenda for current and future developments and will appeal to a broad audience; from developers and users of data mining and grid technology, to advanced undergraduate and postgraduate students interested in this field.