Emerging Research In Web Information Systems And Mining
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Emerging Research In Web Information Systems And Mining
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Author : Gong Zhiguo
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-09-09
Emerging Research In Web Information Systems And Mining written by Gong Zhiguo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-09 with Computers categories.
This book constitutes, together with LNCS 6987 and LNCS 6988, 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 in the three volumes were carefully reviewed and selected from 472 submissions. The 61 papers presented in this volume are organized in topical sections on applications of artificial intelligence; applications of computational intelligence; automated problem solving; brain models/cognitive science; data mining and knowledge discovering; expert and decision support systems; fuzzy logic and soft computing; intelligent agents and systems; intelligent control; intelligent image processing; intelligent scheduling; intelligent signal processing; natural language processing; nature computation; neural computation; pattern recognition; rough set theory.
Mining The World Wide Web
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Author : George Chang
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-07-31
Mining The World Wide Web written by George Chang and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-07-31 with Business & Economics categories.
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 Mining And Social Networking
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Author : Guandong Xu
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-10-20
Web Mining And Social Networking written by Guandong Xu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-10-20 with Computers categories.
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.
Emerging Research In Artificial Intelligence And Computational Intelligence
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Author : Jingsheng Lei
language : en
Publisher: Springer
Release Date : 2012-10-05
Emerging Research In Artificial Intelligence And Computational Intelligence written by Jingsheng Lei and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-10-05 with Computers categories.
This book constitutes the refereed proceedings of the International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012, held in Chengdu, China, in October 2012. The 163 revised full papers presented were carefully reviewed and selected from 724 submissions. The papers are organized in topical sections on applications of artificial intelligence; applications of computational intelligence; data mining and knowledge discovering; evolution strategy; intelligent image processing; machine learning; neural networks; pattern recognition.
Utilizing Educational Data Mining Techniques For Improved Learning
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Author : Chintan M. Bhatt
language : en
Publisher: Information Science Reference
Release Date : 2019
Utilizing Educational Data Mining Techniques For Improved Learning written by Chintan M. Bhatt and has been published by Information Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Big data categories.
Dark Web
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Author : Hsinchun Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-12-16
Dark Web written by Hsinchun Chen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-16 with Computers categories.
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.
Web Data Mining
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Author : Bing Liu
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-06-25
Web Data Mining written by Bing Liu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-25 with Computers categories.
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.
Stakeholders Sustainable Development Policies And The Coal Mining Industry
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Author : Izabela Jonek-Kowalska
language : en
Publisher: Taylor & Francis
Release Date : 2022-03-29
Stakeholders Sustainable Development Policies And The Coal Mining Industry written by Izabela Jonek-Kowalska and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-29 with Business & Economics categories.
This book identifies the impact of internal and external stakeholders on the implementation of sustainable development policies in the coal mining sector in Europe and the Commonwealth of Independent States. The book assesses what activities and conditions need to be improved so that sustainable development policies can be more effectively and efficiently implemented. With a specific focus on the hard coal and lignite mining sectors, it examines a broad range of case studies from Eastern European countries and the Commonwealth of Independent States, including Russia, Ukraine, Poland, Kazakhstan, Germany, Spain, France and the United Kingdom, among many more. Beginning with an introduction to sustainable development and stakeholder theory, Part II then examines internal stakeholders, including owners, managers, employees and trade unions. Part III examines external stakeholders, touching upon those directly related to the mining industry, such as customers and mining enterprises, and those not directly associated such as local and regional communities and environmental organisations. The book concludes by proposing a model approach to the management of stakeholders involved in mining enterprises, focusing on improving the process of implementing sustainable development in the mining sector and strengthening the effects of this process. This book will be of great interest to students and scholars of the extractive industries, natural resource management and policy and sustainable development.
Emerging Research On Swarm Intelligence And Algorithm Optimization
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Author : Shi, Yuhui
language : en
Publisher: IGI Global
Release Date : 2014-07-31
Emerging Research On Swarm Intelligence And Algorithm Optimization written by Shi, Yuhui and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-31 with Computers categories.
Throughout time, scientists have looked to nature in order to understand and model solutions for complex real-world problems. In particular, the study of self-organizing entities, such as social insect populations, presents a new opportunity within the field of artificial intelligence. Emerging Research on Swarm Intelligence and Algorithm Optimization discusses current research analyzing how the collective behavior of decentralized systems in the natural world can be applied to intelligent system design. Discussing the application of swarm principles, optimization techniques, and key algorithms being used in the field, this publication serves as an essential reference for academicians, upper-level students, IT developers, and IT theorists.
Proceedings Of Third Doctoral Symposium On Computational Intelligence
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Author : Ashish Khanna
language : en
Publisher: Springer Nature
Release Date : 2022-11-09
Proceedings Of Third Doctoral Symposium On Computational Intelligence written by Ashish Khanna and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-09 with Technology & Engineering categories.
This book features high-quality research papers presented at Third Doctoral Symposium on Computational Intelligence (DoSCI 2022), organized by Institute of Engineering and Technology (IET), AKTU, Lucknow, India, on March 5, 2022. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high performance computing, biomedical computing, and decision support and decision making.