Handbook Of Research On Text And Web Mining Technologies
Download Handbook Of Research On Text And Web Mining Technologies full books in PDF, epub, and Kindle. Read online free Handbook Of Research On Text And Web Mining Technologies ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
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 | : Trivedi, Shrawan Kumar |
Publisher | : IGI Global |
Total Pages | : 465 |
Release | : 2017-02-14 |
Genre | : Computers |
ISBN | : 1522520325 |
The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.
Author | : Min Song |
Publisher | : |
Total Pages | : 479 |
Release | : 2009 |
Genre | : |
ISBN | : |
Author | : Taniar, David |
Publisher | : IGI Global |
Total Pages | : 340 |
Release | : 2006-10-31 |
Genre | : Computers |
ISBN | : 1599042738 |
Activities in data warehousing and mining are constantly emerging. Data mining methods, algorithms, online analytical processes, data mart and practical issues consistently evolve, providing a challenge for professionals in the field. Research and Trends in Data Mining Technologies and Applications focuses on the integration between the fields of data warehousing and data mining, with emphasis on the applicability to real-world problems. This book provides an international perspective, highlighting solutions to some of researchers' toughest challenges. Developments in the knowledge discovery process, data models, structures, and design serve as answers and solutions to these emerging challenges.
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 | : Sathiyamoorthi Velayutham |
Publisher | : IGI Global, Engineering Science Reference |
Total Pages | : 0 |
Release | : 2019-07 |
Genre | : Machine learning |
ISBN | : 9781522599029 |
"This book examines the practical applications and implementation of various machine learning techniques in various fields such as agriculture, medical, image processing, and networking"--
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 | : Kumar, A.V. Senthil |
Publisher | : IGI Global |
Total Pages | : 448 |
Release | : 2016-08-12 |
Genre | : Computers |
ISBN | : 1522506144 |
Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.
Author | : Ronen Feldman |
Publisher | : Cambridge University Press |
Total Pages | : 423 |
Release | : 2007 |
Genre | : Computers |
ISBN | : 0521836573 |
Author | : George Chang |
Publisher | : Springer Science & Business Media |
Total Pages | : 192 |
Release | : 2001-07-31 |
Genre | : Computers |
ISBN | : 9780792373490 |
Mining the World Wide Web: An Information Search Approach explores the concepts and techniques of Web mining, a promising and rapidly growing field of computer science research. Web mining is a multidisciplinary field, drawing on such areas as artificial intelligence, databases, data mining, data warehousing, data visualization, information retrieval, machine learning, markup languages, pattern recognition, statistics, and Web technology. Mining the World Wide Web presents the Web mining material from an information search perspective, focusing on issues relating to the efficiency, feasibility, scalability and usability of searching techniques for Web mining. Mining the World Wide Web is designed for researchers and developers of Web information systems and also serves as an excellent supplemental reference to advanced level courses in data mining, databases and information retrieval.