Text And Web Mining Technologies ( 2 Vol Set )
Author | : Min Song |
Publisher | : |
Total Pages | : 444 |
Release | : 2009 |
Genre | : Data mining |
ISBN | : 9781599049908 |
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Author | : Min Song |
Publisher | : |
Total Pages | : 444 |
Release | : 2009 |
Genre | : Data mining |
ISBN | : 9781599049908 |
Author | : Song, Min |
Publisher | : IGI Global |
Total Pages | : 901 |
Release | : 2008-09-30 |
Genre | : Computers |
ISBN | : 1599049910 |
Examines recent advances and surveys of applications in text and web mining which should be of interest to researchers and end-users alike.
Author | : do Prado, Hercules Antonio |
Publisher | : IGI Global |
Total Pages | : 376 |
Release | : 2007-10-31 |
Genre | : Computers |
ISBN | : 1599043750 |
"This book provides the most recent technical information related to the computational models of the text mining process, discussing techniques within the realms of classification, association analysis, information extraction, and clustering. Offering an innovative approach to the utilization of textual information mining to maximize competitive advantage, it will provide libraries with the defining reference on this topic"--Provided by publisher.
Author | : David C. Wyld |
Publisher | : Springer Science & Business Media |
Total Pages | : 677 |
Release | : 2011-06-30 |
Genre | : Computers |
ISBN | : 364222539X |
This book constitutes the proceedings of the 4th International Conference on Network Security and Applications held in Chennai, India, in July 2011. The 63 revised full papers presented were carefully reviewed and selected from numerous submissions. The papers address all technical and practical aspects of security and its applications for wired and wireless networks and are organized in topical sections on network security and applications, ad hoc, sensor and ubiquitous computing, as well as peer-to-peer networks and trust management.
Author | : Wang, John |
Publisher | : IGI Global |
Total Pages | : 1382 |
Release | : 2005-06-30 |
Genre | : Computers |
ISBN | : 1591405599 |
Data Warehousing and Mining (DWM) is the science of managing and analyzing large datasets and discovering novel patterns and in recent years has emerged as a particularly exciting and industrially relevant area of research. Prodigious amounts of data are now being generated in domains as diverse as market research, functional genomics and pharmaceuticals; intelligently analyzing these data, with the aim of answering crucial questions and helping make informed decisions, is the challenge that lies ahead. The Encyclopedia of Data Warehousing and Mining provides a comprehensive, critical and descriptive examination of concepts, issues, trends, and challenges in this rapidly expanding field of data warehousing and mining (DWM). This encyclopedia consists of more than 350 contributors from 32 countries, 1,800 terms and definitions, and more than 4,400 references. This authoritative publication offers in-depth coverage of evolutions, theories, methodologies, functionalities, and applications of DWM in such interdisciplinary industries as healthcare informatics, artificial intelligence, financial modeling, and applied statistics, making it a single source of knowledge and latest discoveries in the field of DWM.
Author | : Phillip A. Laplante |
Publisher | : CRC Press |
Total Pages | : 1307 |
Release | : 2015-12-29 |
Genre | : Computers |
ISBN | : 1482214326 |
Spanning the multi-disciplinary scope of information technology, the Encyclopedia of Information Systems and Technology draws together comprehensive coverage of the inter-related aspects of information systems and technology. The topics covered in this encyclopedia encompass internationally recognized bodies of knowledge, including those of The IT BOK, the Chartered Information Technology Professionals Program, the International IT Professional Practice Program (British Computer Society), the Core Body of Knowledge for IT Professionals (Australian Computer Society), the International Computer Driving License Foundation (European Computer Driving License Foundation), and the Guide to the Software Engineering Body of Knowledge. Using the universally recognized definitions of IT and information systems from these recognized bodies of knowledge, the encyclopedia brings together the information that students, practicing professionals, researchers, and academicians need to keep their knowledge up to date. Also Available Online This Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including: Citation tracking and alerts Active reference linking Saved searches and marked lists HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail) [email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail) [email protected]
Author | : Zhang, Qingyu |
Publisher | : IGI Global |
Total Pages | : 362 |
Release | : 2010-10-31 |
Genre | : Computers |
ISBN | : 1609601041 |
"This book is a comprehensive reference on concepts, algorithms, theories, applications, software, and visualization of data mining, text mining, Web mining and computing/supercomputing, covering state-of-the-art of the theory and applications of mining"--
Author | : Ashok N. Srivastava |
Publisher | : CRC Press |
Total Pages | : 330 |
Release | : 2009-06-15 |
Genre | : Business & Economics |
ISBN | : 1420059459 |
The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the FieldGiving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify te
Author | : Charu C. Aggarwal |
Publisher | : Springer Science & Business Media |
Total Pages | : 527 |
Release | : 2012-02-03 |
Genre | : Computers |
ISBN | : 1461432235 |
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
Author | : Markus Hofmann |
Publisher | : CRC Press |
Total Pages | : 337 |
Release | : 2016-01-05 |
Genre | : Business & Economics |
ISBN | : 148223758X |
Text Mining and Visualization: Case Studies Using Open-Source Tools provides an introduction to text mining using some of the most popular and powerful open-source tools: KNIME, RapidMiner, Weka, R, and Python. The contributors-all highly experienced with text mining and open-source software-explain how text data are gathered and processed from a w