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Machine Learning: Theory and Applications
Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field.The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security. - Very relevant to current research challenges faced in various fields - Self-contained reference to machine learning - Emphasis on applications-oriented techniques
Web-based Support Systems
The emerging interdisciplinary study of Web-based support systems focuses on the theories, technologies and tools for the design and implementation of Web-based systems that support various human activities. This book presents the state-of-the-art in Web-based support systems (WSS). The research on WSS is multidisciplinary and focuses on supporting various human activities in different domains/fields based on computer science, information technology, and Web technology. The main goal is to take the opportunities of the Web, to meet the challenges of the Web, to extend the human physical limitations of information processing, and to keep up with the advance of technology advances. This book discusses the four types of existing research: WSS for specific domains, Web-based applications, techniques related to WSS and design, and development of WSS. This comprehensive, wide-ranging text will provide an invaluable insight into the state of the art in WSS for researchers and graduate students.
Digital Methods
A proposal to repurpose Web-native techniques for use in social and cultural scholarly research. In Digital Methods, Richard Rogers proposes a methodological outlook for social and cultural scholarly research on the Web that seeks to move Internet research beyond the study of online culture. It is not a toolkit for Internet research, or operating instructions for a software package; it deals with broader questions. How can we study social media to learn something about society rather than about social media use? Rogers proposes repurposing Web-native techniques for research into cultural change and societal conditions. We can learn to reapply such “methods of the medium” as crawling and ...
Machine Learning: Concepts, Methodologies, Tools and Applications
"This reference offers a wide-ranging selection of key research in a complex field of study,discussing topics ranging from using machine learning to improve the effectiveness of agents and multi-agent systems to developing machine learning software for high frequency trading in financial markets"--Provided by publishe
Mathematical Reviews
None
Handbook of Research on Web Log Analysis
"This book reflects on the multifaceted themes of Web use and presents various approaches to log analysis"--Provided by publisher.
National Faculty Directory
Find names, departmental affiliations and institutional addresses of professionals in academia within this directory's alphabetic listing of more than 670,000 names and addresses of teaching faculty members at 3,600 American colleges and universities -- and at 240 Canadian institutions that use instructional materials primarily in English. The Supplement adds approximately 40,000 new entries.
