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Web Information Systems by David Taniar,Johanna Wenny Rahayu Pdf
The era of web technology has enabled information and application sharing through the Internet. The large amount of information on the Internet, the large number of users, and the complexity of the application and information types have introduced new areas whereby these issues are explored and addressed.
George Chang,Marcus Healey,James A. M. McHugh,T.L. Wang
Author : George Chang,Marcus Healey,James A. M. McHugh,T.L. Wang Publisher : Springer Science & Business Media Page : 180 pages File Size : 49,6 Mb Release : 2012-12-06 Category : Computers ISBN : 9781461516392
Mining the World Wide Web by George Chang,Marcus Healey,James A. M. McHugh,T.L. Wang Pdf
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.
Web Information Systems and Mining by Wu Lee Wang,Jingsheng Lei,Gong Zhiguo,Xiangfeng Luo Pdf
The volume LNCS 7529 constitutes the refereed proceedings of the International Conference on Web Information Systems and Mining, WISM 2012, held in Chengdu, China, in October 2012. The 87 revised full papers presented were carefully reviewed and selected from 418 submissions. The papers are organized in topical sections on applications of Web information systems; applications of Web mining; e-government and e-commerce; information security; intelligent networked systems; management information systems; mobile computing; semantic Web and ontologies; Web information extraction; Web intelligence; Web interfaces and applications; and XML and semi-structured data.
Web Information Systems Engineering – WISE 2020 by Zhisheng Huang,Wouter Beek,Hua Wang,Rui Zhou,Yanchun Zhang Pdf
This book constitutes the proceedings of the 21st International Conference on Web Information Systems Engineering, WISE 2020, held in Amsterdam, The Netherlands, in October 2020. The 81 full papers presented were carefully reviewed and selected from 190 submissions. The papers are organized in the following topical sections: Part I: network embedding; graph neural network; social network; graph query; knowledge graph and entity linkage; spatial temporal data analysis; and service computing and cloud computing Part II: information extraction; text mining; security and privacy; recommender system; database system and workflow; and data mining and applications
Web Information Systems and Mining by Zhiguo Gong,Xiangfeng Luo,Junjie Chen,Jingsheng Lei,Fu Lee Wang Pdf
The two-volume set LNCS 6987 and LNCS 6988 constitutes the refereed proceedings of the International Conference on Web Information Systems and Mining, WISM 2011, held in Taiyuan, China, in September 2011. The 112 revised full papers presented were carefully reviewed and selected from 472 submissions. The first volume includes 56 papers organized in the following topical sections: applications on Web information systems; applications of Web mining; distributed systems; e-government and e-commerce; geographic information systems; information security; and intelligent networked systems.
Web Mining and Social Networking by Guandong Xu,Yanchun Zhang,Lin Li Pdf
This book examines the techniques and applications involved in the Web Mining, Web Personalization and Recommendation and Web Community Analysis domains, including a detailed presentation of the principles, developed algorithms, and systems of the research in these areas. The applications of web mining, and the issue of how to incorporate web mining into web personalization and recommendation systems are also reviewed. Additionally, the volume explores web community mining and analysis to find the structural, organizational and temporal developments of web communities and reveal the societal sense of individuals or communities. The volume will benefit both academic and industry communities interested in the techniques and applications of web search, web data management, web mining and web knowledge discovery, as well as web community and social network analysis.
Web Information Systems and Mining by Fu Lee Wang,Zhiguo Gong,Jingsheng Lei Pdf
The 2010 International Conference on Web Information Systems and Mining (WISM 2010) was held October 23–24, 2010 in Sanya, China. WISM 2010 received 603 submissions from 20 countries and regions. After rigorous reviews, 54 hi- quality papers were selected for publication in the WISM 2010 proceedings. The acceptance rate was 9%. The aim of WISM 2010 was to bring together researchers working in many different areas of Web information systems and Web mining to foster the exchange of new ideas and promote international collaboration. In addition to the large number of submitted papers and invited sessions, there were several internationally well-known keynote speakers. On behalf of the Organizing Committee, we thank Hainan Province Institute of Computer and Qiongzhou University for its sponsorship and logistics support. We also thank the members of the Organizing Committee and the Program Committee for their hard work. We are very grateful to the keynote speakers, invited session organizers, session chairs, reviewers, and student helpers. Last but not least, we thank all the authors and participants for their great contributions that made this conference possible. October 2010 Fu Lee Wang Gong Zhiguo Xiangfeng Luo Jingsheng Lei
The University of Arizona Artificial Intelligence Lab (AI Lab) Dark Web project is a long-term scientific research program that aims to study and understand the international terrorism (Jihadist) phenomena via a computational, data-centric approach. We aim to collect "ALL" web content generated by international terrorist groups, including web sites, forums, chat rooms, blogs, social networking sites, videos, virtual world, etc. We have developed various multilingual data mining, text mining, and web mining techniques to perform link analysis, content analysis, web metrics (technical sophistication) analysis, sentiment analysis, authorship analysis, and video analysis in our research. The approaches and methods developed in this project contribute to advancing the field of Intelligence and Security Informatics (ISI). Such advances will help related stakeholders to perform terrorism research and facilitate international security and peace. This monograph aims to provide an overview of the Dark Web landscape, suggest a systematic, computational approach to understanding the problems, and illustrate with selected techniques, methods, and case studies developed by the University of Arizona AI Lab Dark Web team members. This work aims to provide an interdisciplinary and understandable monograph about Dark Web research along three dimensions: methodological issues in Dark Web research; database and computational techniques to support information collection and data mining; and legal, social, privacy, and data confidentiality challenges and approaches. It will bring useful knowledge to scientists, security professionals, counterterrorism experts, and policy makers. The monograph can also serve as a reference material or textbook in graduate level courses related to information security, information policy, information assurance, information systems, terrorism, and public policy.
Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
Liu Wenyin,Xiangfeng Luo,Fu Lee Wang,Jingsheng Lei
Author : Liu Wenyin,Xiangfeng Luo,Fu Lee Wang,Jingsheng Lei Publisher : Springer Science & Business Media Page : 614 pages File Size : 42,8 Mb Release : 2009-10-26 Category : Business & Economics ISBN : 9783642052491
Web Information Systems and Mining by Zhiguo Gong,Xiangfeng Luo,Junjie Chen,Jingsheng Lei,Fu Lee Wang Pdf
The two-volume set LNCS 6987 and 6988 constitutes the refereed proceedings of the International Conference on Web Information Systems and Mining, WISM 2011, held in Taiyuan, China, in September 2011. The 112 revised full papers presented were carefully reviewed and selected from 472 submissions. The second volume includes 56 papers organized in the following topical sections: management information systems; semantic Web and ontologies; Web content mining; Web information classification; Web information extraction; Web intelligence; Web interfaces and applications; Web services and e-learning; and XML and semi-structured data.
Web Information Systems and Mining by Fu Lee Wang,Zhiguo Gong,Jingsheng Lei Pdf
Annotation This book constitutes the refereed proceedings of the International Conference on Web Information Systems and Mining, WISM 2010, held in Sanya, China, on October 23-24, 2010. The 54 revised full papers presented in this volume were carefully reviewed and selected from 603 submissions. The papers are organized in topical sections on applications of web information systems, applications of web mining, distributed systems, e-government and e-commerce, geographic information systems, information security, intelligent networked systems, management information systems, mobile computing, web content mining, web information classification, web information retrieval, web services and e-learning, and XML and semi-structured data.
Data Mining the Web by Zdravko Markov,Daniel T. Larose Pdf
This book introduces the reader to methods of data mining on the web, including uncovering patterns in web content (classification, clustering, language processing), structure (graphs, hubs, metrics), and usage (modeling, sequence analysis, performance).
