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Compression Schemes for Mining Large Datasets
This book addresses the challenges of data abstraction generation using a least number of database scans, compressing data through novel lossy and non-lossy schemes, and carrying out clustering and classification directly in the compressed domain. Schemes are presented which are shown to be efficient both in terms of space and time, while simultaneously providing the same or better classification accuracy. Features: describes a non-lossy compression scheme based on run-length encoding of patterns with binary valued features; proposes a lossy compression scheme that recognizes a pattern as a sequence of features and identifying subsequences; examines whether the identification of prototypes and features can be achieved simultaneously through lossy compression and efficient clustering; discusses ways to make use of domain knowledge in generating abstraction; reviews optimal prototype selection using genetic algorithms; suggests possible ways of dealing with big data problems using multiagent systems.
Encyclopedia of Business Analytics and Optimization
As the age of Big Data emerges, it becomes necessary to take the five dimensions of Big Data- volume, variety, velocity, volatility, and veracity- and focus these dimensions towards one critical emphasis - value. The Encyclopedia of Business Analytics and Optimization confronts the challenges of information retrieval in the age of Big Data by exploring recent advances in the areas of knowledge management, data visualization, interdisciplinary communication, and others. Through its critical approach and practical application, this book will be a must-have reference for any professional, leader, analyst, or manager interested in making the most of the knowledge resources at their disposal.
Environmental Valuation in South Asia
This book is about understanding the value of environmental services in South Asia. It provides an overview of different environmental problems in South Asia and examines how economic valuation techniques can be used to assess these problems. It brings together multiple case studies on valuation undertaken by economists and environmental scientists from Bangladesh, India, Pakistan, Nepal and Sri Lanka under the aegis of the South Asian Network for Development and Environmental Economics (SANDEE). The book addresses the challenges of valuing environmental changes that are unique to developing countries. Each chapter starts with a description of an environmental problem and the valuation strategy used, followed by a discussion of estimation methods and results. It is designed to serve as a reference book for students, teachers, researchers, non-government organizations and practitioners of environmental valuation. Those interested in development and environmental economics, and natural resource management policies, will also find it useful.
Nature, Economy and Society
This book presents an enquiry into the interface between nature, economy and society, which is still in its early stages, notwithstanding the commendable progress and advances made in the field of environmental and natural resource economics within the ever-expanding boundaries of economics as a discipline. It further delineates the evolution of an inter-disciplinary framework for analyzing the status, the future goals, mechanisms and policy instruments that can help move towards a more ecologically sustainable, economically beneficial and socially just future. A pre-requisite for preparing a comprehensive and coherent framework involves unfolding the multiple layers of interconnectedness be...
India, Industrialisation in a Reforming Economy
Kosaraju Leela Krishna, b. 1935, Indian economist; contributed articles.
Foundations of Software Technology and Theoretical Computer Science
This book constitutes the refereed proceedings of the 16th International Conference on Foundations of Software Technology and Theoretical Computer Science, FST&TCS '96, held in Hyderabad, India, in December 1996. The volume presents 28 revised full papers selected from a total of 98 submissions; also included are four invited contributions. The papers are organized in topical sections on computational geometry, process algebras, program semantics, algorithms, rewriting and equational-temporal logics, complexity theory, and type theory.
Current Trends in Database Technology - EDBT 2004 Workshops
This volume comprises papers from the following ?ve workshops that were part of the complete program for the International Conference on Extending Database Technology (EDBT) held in Heraklion, Greece, March 2004: • ICDE/EDBT Joint Ph. D. Workshop (PhD) • Database Technologies for Handling XML-information on the Web (DataX) • Pervasive Information Management (PIM) • Peer-to-Peer Computing and Databases (P2P&DB) • Clustering Information Over the Web (ClustWeb) Together, the ?ve workshops featured 61 high-quality papers selected from appr- imately 180 submissions. It was, therefore, dif?cult to decide on the papers that were to beacceptedforpresentation. Webelievethattheacceptedpapers...
Data Mining and Knowledge Discovery with Evolutionary Algorithms
This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
Applied Pattern Recognition
A sharp increase in the computing power of modern computers has triggered the development of powerful algorithms that can analyze complex patterns in large amounts of data within a short time period. Consequently, it has become possible to apply pattern recognition techniques to new tasks. The main goal of this book is to cover some of the latest application domains of pattern recognition while presenting novel techniques that have been developed or customized in those domains.
