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DATA MINING
Data Mining is an emerging technology that has made its way into science, engineering, commerce and industry as many existing inference methods are obsolete for dealing with massive datasets that get accumulated in data warehouses. This comprehensive and up-to-date text aims at providing the reader with sufficient information about data mining methods and algorithms so that they can make use of these methods for solving real-world problems. The authors have taken care to include most of the widely used methods in data mining with simple examples so as to make the text ideal for classroom learning. To make the theory more comprehensible to the students, many illustrations have been used, and ...
Multi-Agent Systems for Society
This book constitutes the thoroughly refereed post-conference proceedings of the 8th Pacific Rim International Workshop on Multi-Agents, PRIMA 2005, held in Kuala Lumpur, Malaysia, in September 2005. The 29 revised full papers and 2 keynote papers presented were carefully reviewed and selected from numerous submissions. The papers address many current topics in multi-agent research and development, ranging from theoretical and methodological issues to various applications in different fields.
AI 2013: Advances in Artificial Intelligence
This book constitutes the refereed proceedings of the 26th Australasian Joint Conference on Artificial Intelligence, AI 2013, held in Dunedin, New Zealand, in December 2013. The 35 revised full papers and 19 revised short papers presented were carefully reviewed and selected from 120 submissions. The papers are organized in topical sections as agents; AI applications; cognitive modelling; computer vision; constraint satisfaction, search and optimisation; evolutionary computation; game playing; knowledge representation and reasoning; machine learning and data mining; natural language processing and information retrieval; planning and scheduling.
Sessional Papers
"Report of the Dominion fishery commission on the fisheries of the province of Ontario, 1893", issued as vol. 26, no. 7, supplement.
Brewing
Brewing is designed for those involved in the malting, brewing, and allied industries who have little or no formal training in brewing science. While some elementary knowledge of chemistry and biology is necessary, the book clearly presents the essentials of brewing science and its relationship to brewing technology. Brewing focuses on the principles and practices most central to an understanding of the brewing process, including preparation of malt, hops, and yeast; the fermentation process; microbiology and contaminants; and finishing, packaging, and flavor. The second edition gives more emphasis to engineering and technological aspects, with the three new chapters on water, engineering and analysis. Brewing, Second Edition, is both a basic text for traditional college, short, and extension courses in brewing science, and a basic reference for anyone in the brewing industry.
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