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.
Water provides benefits as a commodity for agriculture, industry, and households, and as a public good such as fisheries habitat, water quality and recreational use. To aid in cost-benefit analysis under conditions where market determined price signals are usually unavailable, economists have developed a range of alternative valuation methods for measuring economic benefits.
This volume provides the most comprehensive exposition to-date of the application of economic valuation methods to proposed water resources investments and policies. It provides a conceptual framework for valuation of both commodity and public good uses of water, addressing non-market valuation techniques appropriate to measuring public benefits - including water quality improvement, recreation, and fish habitat enhancement. The book describes the various measurement methods, illustrates how they are applied in practice, and discusses their strengths, limitations, and appropriate roles.
In this second edition, all chapters have been thoroughly updated, and in particular the coverage of water markets and valuation of ecosystem services from water has been expanded. Robert Young, author of the 2005 edition, has been joined for this new edition by John Loomis, who brings additional expertise on ecosystem services and the environmental economics of water for recreational and other public good uses of water.
The conjunction of knowledge discovery and multimedia documents presents a very important challenge. This new field of knowledge discovery in multimedia documents, dealing with non-structured information such as texts, images, videos, audio and virtual data, requires the collaboration of experts in many areas of interest revolving around document management systems, data mining, visual computing, signal processing, multimedia data and machine learning. Multimedia Mining: A Highway to Intelligent Multimedia Documents will bring together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines.
Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.
Multimedia Mining: A Highway to Intelligent Multimedia Documents is designed to meet the needs of a professional audience composed of researchers and practitioners in industry and graduate-level students in computer science and engineering.
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