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This volume contains articles accepted for presentation during The Intel ligent Information Processing and Web Mining Conference IIS:IIPWM'04 which was held in Zakopane, Poland, on May 17-20, 2004. This conference is a continuation of a series of 13 successful symposia and conferrences on Intel ligent Information Systems, organized by the Institute of Computer Science of Polish Academy of Sciences, devoted to new trends in (broadly understood) Artificial Intelligence. The idea of organizing such meetings dates back to 1992. Our main in tention guided the first, rather small-audience, workshop in the series was to resume the results gained in Polish scientific centers as well as contrast them with the research performed by Polish scientists working at the universities in Europe and USA and their foreign collaborators. This idea proved to be attractive enough that we decided to continue such meetings. As the years went by, the workshops has transformed into regular symposia devoted to such fields like Machine Learning, Knowledge Discovery, Natural Language Processing, Knowledge Based Systems and Reasoning, and Soft Computing (i. e. Fuzzy and Rough Sets, Bayesian Networks, Neural Networks and Evo lutionary Algorithms). At present, about 50 papers prepared by researches from Poland and other countries are usually presented. This year conference devotes much more attention to the newest devel opments in the area of Artificial Intelligence, related to broadly understood Web mining.
This book constitutes the joint refereed proceedings of the three confederated conferences, CoopIS 2003, DOA 2003, and ODBASE 2003, held in Catania, Sicily, Italy, in November 2003. The 95 revised full papers presented were carefully reviewed and selected from a total of 360 submissions. The papers are organized in topical sections on information integration and mediation, Web services, agent systems, cooperation and evolution, peer-to-peer systems, cooperative systems, trust management, workflow systems, information dissemination systems, data management, the Semantic Web, data mining and classification, ontology management, temporal and spatial data, data semantics and metadata, real-time systems, ubiquitous systems, adaptability and mobility, systems engineering, software engineering, and transactions.
Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence. It is therefore not intended as a collection of the most recent research results, but as a practical guide for experts from other areas and industrial users interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions. Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.
The rapid increase in computing power and communication speed, coupled with computer storage facilities availability, has led to a new age of multimedia app- cations. Multimedia is practically everywhere and all around us we can feel its presence in almost all applications ranging from online video databases, IPTV, - teractive multimedia and more recently in multimedia based social interaction. These new growing applications require high-quality data storage, easy access to multimedia content and reliable delivery. Moving ever closer to commercial - ployment also aroused a higher awareness of security and intellectual property management issues. All the aforementioned requirements resulted in higher demands on various - eas of research (signal processing, image/video processing and analysis, com- nication protocols, content search, watermarking, etc.). This book covers the most prominent research issues in multimedia and is divided into four main sections: i) content based retrieval, ii) storage and remote access, iii) watermarking and co- right protection and iv) multimedia applications. Chapter 1 of the first section presents an analysis on how color is used and why is it crucial in nowadays multimedia applications. In chapter 2 the authors give an overview of the advances in video abstraction for fast content browsing, transm- sion, retrieval and skimming in large video databases and chapter 3 extends the discussion on video summarization even further. Content retrieval problem is tackled in chapter 4 by describing a novel method for producing meaningful s- ments suitable for MPEG-7 description based on binary partition trees (BPTs).
This book assesses the state of the art of agent-based approaches as a software engineering paradigm. The 15 revised full papers presented together with an invited article were carefully selected from 43 submissions during two rounds of reviewing and improvement for the 4th International Workshop on Agent-Oriented Software Engineering, AOSE 2003, held in Melbourne, Australia, in July during AAMAS 2003. The papers address all current issues in the field of software agents and multi-agent systems relevant for software engineering; they are organized in topical sections on - modeling agents and multi-agent systems -methodologies and tools - patterns, architectures, and reuse - roles and organizations.
This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in analysis of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades. If you are an instructor or professor and would like to obtain instructor’s materials, please visit http://booksupport.wiley.com If you are an instructor or professor and would like to obtain a solutions manual, please send an email to: [email protected]
Master the new computational tools to get the most out of your information system. This practical guide, the first to clearly outline the situation for the benefit of engineers and scientists, provides a straightforward introduction to basic machine learning and data mining methods, covering the analysis of numerical, text, and sound data.
Software and Systems Traceability provides a comprehensive description of the practices and theories of software traceability across all phases of the software development lifecycle. The term software traceability is derived from the concept of requirements traceability. Requirements traceability is the ability to track a requirement all the way from its origins to the downstream work products that implement that requirement in a software system. Software traceability is defined as the ability to relate the various types of software artefacts created during the development of software systems. Traceability relations can improve the quality of a product being developed, and reduce the time and cost of development. More specifically, traceability relations can support evolution of software systems, reuse of parts of a system by comparing components of new and existing systems, validation that a system meets its requirements, understanding of the rationale for certain design and implementation decisions, and analysis of the implications of changes in the system.