Data Mining Techniques in Grid Computing Environments PDF Download

Author: Werner Dubitzky
Publisher: John Wiley & Sons
ISBN: 0470699892
Category : Medical
Languages : en
Pages : 288

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Book Description
Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them. This book provides a simultaneous design blueprint, user guide, and research agenda for current and future developments and will appeal to a broad audience; from developers and users of data mining and grid technology, to advanced undergraduate and postgraduate students interested in this field.

Author: B. S.P. Mishra
Publisher: Springer
ISBN: 3319275208
Category : Technology & Engineering
Languages : en
Pages : 199

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Book Description
This volume is aiming at a wide range of readers and researchers in the area of Big Data by presenting the recent advances in the fields of Big Data Analysis, as well as the techniques and tools used to analyze it. The book includes 10 distinct chapters providing a concise introduction to Big Data Analysis and recent Techniques and Environments for Big Data Analysis. It gives insight into how the expensive fitness evaluation of evolutionary learning can play a vital role in big data analysis by adopting Parallel, Grid, and Cloud computing environments.

Author: Mohamed Medhat Gaber
Publisher: Springer Science & Business Media
ISBN: 3319027115
Category : Technology & Engineering
Languages : en
Pages : 112

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Book Description
Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.

Author: Ladjel Bellatreche
Publisher: Springer Science & Business Media
ISBN: 3642244424
Category : Computers
Languages : en
Pages : 298

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Book Description
This book constitutes the refereed proceedings of the First International Conference on Model and Data Engineering, MEDI 2011, held in Óbidos, Portugal, in September 2011. The 18 revised full papers presented together with 8 short papers and three keynotes were carefully reviewed and selected from 67 submissions. The papers are organized in topical sections on ontology engineering; Web services and security; advanced systems; knowledge management; model specification and verification; and models engineering.

Author: Fran Berman
Publisher: John Wiley and Sons
ISBN: 9780470853191
Category : Technology & Engineering
Languages : en
Pages : 1076

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Book Description
Unter "Grid Computing" versteht man die gleichzeitige Nutzung vieler Computer in einem Netzwerk für die Lösung eines einzelnen Problems. Grundsätzliche Aspekte und anwendungsbezogene Details zu diesem Gebiet finden Sie in diesem Band. - Grid Computing ist ein viel versprechender Trend, denn man kann damit (1) vorhandene Computer-Ressourcen kosteneffizient nutzen, (2) Probleme lösen, für die enorme Rechenleistungen erforderlich sind, und (3) Synergieeffekte erzielen, auch im globalen Maßstab - Ansatz ist in Forschung und Industrie (IBM, Sun, HP und andere) zunehmend populär (aktuelles Beispiel: Genomforschung) - Buch deckt Motivationen zur Einführung von Grids ebenso ab wie technologische Grundlagen und ausgewählte Beispiele für moderne Anwendungen

Author: Michael Di Stefano
Publisher: John Wiley & Sons
ISBN: 0471738212
Category : Computers
Languages : en
Pages : 309

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Book Description
Discover grid computing-how to successfully build, implement, and manage widely distributed computing architecture With technology budgets under increasing scrutiny and system architecture becoming more and more complex, many organizations are rethinking how they manage and use technology. Keeping a strong business focus, this publication clearly demonstrates that the current ways of tying applications to dedicated hardware are no longer viable in today's competitive, bottom line-oriented environment. This evolution in distributed computing is leading a paradigm shift in leveraging widely distributed architectures to get the most processing power per IT dollar. Presenting a solid foundation of data management issues and techniques, this practical book delves into grid architecture, services, practices, and much more, including: * Why businesses should adopt grid computing * How to master the fundamental concepts and programming techniques and apply them successfully to reach objectives * How to maximize the value of existing IT investments The author has tailored this publication for two distinct audiences. Business professionals will gain a better understanding of how grid computing improves productivity and performance, what impact it can have on their organization's bottom line, and the technical foundations necessary to discuss grid computing with their IT colleagues. Following the author's expert guidance and practical examples, IT professionals, architects, and developers will be equipped to initiate and carry out successful grid computing projects within their own organizations.

Author: Domenico Talia
Publisher: CRC Press
ISBN: 1439875316
Category : Computers
Languages : en
Pages : 233

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Book Description
A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today’s often unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures. Service-Oriented Distributed Knowledge Discovery presents techniques, algorithms, and systems based on the service-oriented paradigm. Through detailed descriptions of real software systems, it shows how the techniques, models, and architectures can be implemented. The book covers key areas in data mining and service-oriented computing. It presents the concepts and principles of distributed knowledge discovery and service-oriented data mining. The authors illustrate how to design services for data analytics, describe real systems for implementing distributed knowledge discovery applications, and explore mobile data mining models. They also discuss the future role of service-oriented knowledge discovery in ubiquitous discovery processes and large-scale data analytics. Highlighting the latest achievements in the field, the book gives many examples of the state of the art in service-oriented knowledge discovery. Both novices and more seasoned researchers will learn useful concepts related to distributed data mining and service-oriented data analysis. Developers will also gain insight on how to successfully use service-oriented knowledge discovery in databases (KDD) frameworks.

Author: Franco Travostino
Publisher: John Wiley & Sons
ISBN: 047002870X
Category : Technology & Engineering
Languages : en
Pages : 372

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Book Description
A book that bridges the gap between the communities of network and Grid experts. Grid Networks describes the convergence of advanced networking technologies and Grid technologies, with special focus on their symbiotic relationship and the resulting new opportunities. Grid technology is applicable to many implementations, Computational Grids, Data Grids, Service Grids, and Instrumentation Grids. The authors cover a breadth of topics including recent research, featuring both theoretical concepts and empirical results. Beginning with an overview of Grid technologies, an analysis of distinguishing use cases and architectural attributes, and emerging standards. Travostino et al. discuss new directions in multiple networking technologies that are enabling enhanced capabilities for Grids. An appendix also provides an overview of experimental research test-beds and prototype implementations. These topics will enable network experts to design networks to best match Grid requirements, while Grid experts will learn how to effectively utilize network resources. Grid Networks: Enabling Grids with Advanced Communication Technology: Bridges the gap between the communities of network and Grid experts. Covers new network requirements posed by the Grid, and the paradigm shifts prompted by Grid applications. Discusses basic architectural concepts and directions related to the integration of Grid and networking technologies, especially those that elevate network resources to first class entities within Grid environments. Details new directions in networking technologies for the Grid, including Network Infrastructure & Management, Service Provisioning, High Performance Data Transport, Performance Monitoring, Reliability, and Network-Assisted Service Frameworks. Provides an overview of advanced research testbeds and innovative early implementations of emerging architecture and technology. Many communities will find this book an invaluable resource, including engineers and product managers, research scientists within academia, industry, and government agencies, advanced students and faculty in distributed systems courses, network and systems architects, CIOs, administrators of advanced networks, application developers, and providers of next generation distributed services.

Author: Domenico Talia
Publisher: CRC Press
ISBN: 1439875332
Category : Computers
Languages : en
Pages : 224

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Book Description
A new approach to distributed large-scale data mining, service-oriented knowledge discovery extracts useful knowledge from today's often unmanageable volumes of data by exploiting data mining and machine learning distributed models and techniques in service-oriented infrastructures. Service-Oriented Distributed Knowledge Discovery presents techniqu

Author: Kumar, A.V. Senthil
Publisher: IGI Global
ISBN: 1522506144
Category : Computers
Languages : en
Pages : 448

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Book Description
Web usage mining is defined as the application of data mining technologies to online usage patterns as a way to better understand and serve the needs of web-based applications. Because the internet has become a central component in information sharing and commerce, having the ability to analyze user behavior on the web has become a critical component to a variety of industries. Web Usage Mining Techniques and Applications Across Industries addresses the systems and methodologies that enable organizations to predict web user behavior as a way to support website design and personalization of web-based services and commerce. Featuring perspectives from a variety of sectors, this publication is designed for use by IT specialists, business professionals, researchers, and graduate-level students interested in learning more about the latest concepts related to web-based information retrieval and mining.