[PDF] Advanced Signature Indexing For Multimedia And Web Applications eBook

Author : Yannis Manolopoulos
Publisher : Springer Science & Business Media
Page : 197 pages
File Size : 23,15 MB
Release : 2012-09-08
Category : Computers
ISBN : 1441986367

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Advanced Signature Indexing for Multimedia and Web Applications presents the latest research developments in signature-based indexing and query processing, specifically in multimedia and Web domains. These domains now demand a different designation of hashing information in bit-strings (i.e., signatures), and new indexes and query processing methods. The book provides solutions to these issues and addresses the resulting requirements, which are not adequately handled by existing approaches. Examples of these applications include: searching for similar images, representing multi-theme layers in maps, recommending products to Web-clients, and indexing large Web-log files. Special emphasis is given to structure description, implementation techniques and clear evaluation of operations performed (from a performance perspective). Advanced Signature Indexing for Multimedia and Web Applications is an excellent reference for professionals involved in the development of applications in multimedia databases or the Web and may also serve as a textbook for advanced level courses in database and information retrieval systems.

Author : Chen, Shu-Ching
Publisher : IGI Global
Page : 360 pages
File Size : 23,82 MB
Release : 2012-06-30
Category : Computers
ISBN : 1466617926

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Multimedia and its rich semantics are profligate in today’s digital environment. Databases and content management systems serve as essential tools to ensure that the endless supply of multimedia content are indexed and remain accessible to end users. Methods and Innovations for Multimedia Database Content Management highlights original research on new theories, algorithms, technologies, system design, and implementation in multimedia data engineering and management with an emphasis on automatic indexing, tagging, high-order ranking, and rule mining. This book is an ideal resource for university researchers, scientists, industry professionals, software engineers and graduate students.

Author : Dimitrios Katsaros
Publisher : IGI Global
Page : 506 pages
File Size : 28,72 MB
Release : 2005-01-01
Category : Computers
ISBN : 9781591405405

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An introduction and balanced coverage of topics related to the methodologies developed to support data management in asymmetric communication environments. This book provides an opportunity for practitioners and researchers to explore the connection between computer science techniques and to develop solutions to problems in wireless networks.

Author : Álvaro Rocha
Publisher : Springer
Page : 1113 pages
File Size : 48,96 MB
Release : 2016-03-15
Category : Technology & Engineering
ISBN : 3319312324

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This book contains a selection of articles from The 2016 World Conference on Information Systems and Technologies (WorldCIST'16), held between the 22nd and 24th of March at Recife, Pernambuco, Brazil. WorldCIST is a global forum for researchers and practitioners to present and discuss recent results and innovations, current trends, professional experiences and challenges of modern Information Systems and Technologies research, together with their technological development and applications. The main topics covered are: Information and Knowledge Management; Organizational Models and Information Systems; Software and Systems Modeling; Software Systems, Architectures, Applications and Tools; Multimedia Systems and Applications; Computer Networks, Mobility and Pervasive Systems; Intelligent and Decision Support Systems; Big Data Analytics and Applications; Human-Computer Interaction; Health Informatics; Information Technologies in Education; Information Technologies in Radiocommunications.

Author : Sasaki, Hideyasu
Publisher : IGI Global
Page : 428 pages
File Size : 19,52 MB
Release : 2012-05-31
Category : Computers
ISBN : 1466615788

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As organizations, businesses, and other institutions work to move forward during a new era of ubiquitous modern technology, new computing and technology implementation strategies are necessary to harness the shared knowledge of individuals to advance their organizations as a whole. Intelligent and Knowledge-Based Computing for Business and Organizational Advancements examines the emerging computing paradigm of Collective Intelligence (CI). The global contributions contained in this publication will prove to be essential to both researchers and practitioners in the computer and information science communities as these populations move toward a new period of fully technology-integrated business.

Author : David Taniar
Publisher : IGI Global
Page : 394 pages
File Size : 31,9 MB
Release : 2004-01-01
Category : Computers
ISBN : 9781591402831

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The era of web technology has enabled information and application sharing through the Internet. The large amount of information on the Internet, the large number of users, and the complexity of the application and information types have introduced new areas whereby these issues are explored and addressed.

Author : Leonid Kalinichenko
Publisher : Springer Science & Business Media
Page : 444 pages
File Size : 33,17 MB
Release : 2003-09-02
Category : Business & Economics
ISBN : 3540200479

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This book constitutes the refereed proceedings of the 7th East European Conference on Advances in Databases and Information Systems, ADBIS 2003, held in Dresden, Germany in September 2003. The 29 revised full papers presented together with 2 invited contributions were carefully reviewed and selected from 86 submissions. The papers are organized in topical sections on compositional development, advanced query processing, transactions, retrieval from the Web, indexing techniques, active databases and workflows, complex value storage, data mining, formal query semantics, spatial aspects of information systems, XML processing, multimedia data management, information integration, and query containment.

Author : Nauman Chaudhry
Publisher : Springer Science & Business Media
Page : 188 pages
File Size : 26,80 MB
Release : 2005-04-14
Category : Computers
ISBN : 9780387243931

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Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data. Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science interested in learning about stream data management.

Author : Zongmin Ma
Publisher : Springer Science & Business Media
Page : 222 pages
File Size : 43,16 MB
Release : 2006-06-15
Category : Computers
ISBN : 038724249X

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Fuzzy Database Modeling with XML aims to provide a single record of current research and practical applications in the fuzzy databases. This volume is the outgrowth of research the author has conducted in recent years. Fuzzy Database Modeling with XML introduces state-of-the-art information to the database research, while at the same time serving the information technology professional faced with a non-traditional application that defeats conventional approaches. The research on fuzzy conceptual models and fuzzy object-oriented databases is receiving increasing attention, in addition to fuzzy relational database models. With rapid advances in network and internet techniques as well, the databases have been applied under the environment of distributed information systems. It is essential in this case to integrate multiple fuzzy database systems. Since databases are commonly employed to store and manipulate XML data, additional requirements are necessary to model fuzzy information with XML. Secondly, this book maps fuzzy XML model to the fuzzy databases. Very few efforts at investigating these issues have thus far occurred. Fuzzy Database Modeling with XML is designed for a professional audience of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.

Author : Wei Wang
Publisher : Springer Science & Business Media
Page : 188 pages
File Size : 20,26 MB
Release : 2005-02-28
Category : Computers
ISBN : 9780387242460

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In many applications, e.g., bioinformatics, web access traces, system u- lization logs, etc., the data is naturally in the form of sequences. It has been of great interests to analyze the sequential data to find their inherent char- teristics. The sequential pattern is one of the most widely studied models to capture such characteristics. Examples of sequential patterns include but are not limited to protein sequence motifs and web page navigation traces. In this book, we focus on sequential pattern mining. To meet different needs of various applications, several models of sequential patterns have been proposed. We do not only study the mathematical definitions and application domains of these models, but also the algorithms on how to effectively and efficiently find these patterns. The objective of this book is to provide computer scientists and domain - perts such as life scientists with a set of tools in analyzing and understanding the nature of various sequences by : (1) identifying the specific model(s) of - quential patterns that are most suitable, and (2) providing an efficient algorithm for mining these patterns. Chapter 1 INTRODUCTION Data Mining is the process of extracting implicit knowledge and discovery of interesting characteristics and patterns that are not explicitly represented in the databases. The techniques can play an important role in understanding data and in capturing intrinsic relationships among data instances. Data mining has been an active research area in the past decade and has been proved to be very useful.