Data Mining Techniques in Grid Computing Environments
Home > Computing and Information Technology > Databases > Data mining > Data Mining Techniques in Grid Computing Environments
Data Mining Techniques in Grid Computing Environments

Data Mining Techniques in Grid Computing Environments

|
     0     
5
4
3
2
1




Out of Stock


Notify me when this book is in stock
About the Book

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.

Table of Contents:
Preface. List of contributors. 1. Data mining meets grid computing: time to dance (Alberto Sánchez, Jesús Montes, Werner Dubitzky, Julio J. Valdés, María S. Pérez and Pedro de Miguel). 1.1 Introduction. 1.2 Data mining. 1.3 Grid computing. 1.4 Data mining grid - mining grid data. 1.5 Conclusions. 1.6 Summary of chapters in this volume. 2. Data analysis services in the Knowledge Grid (Eugenio Cesario, Antonio Congiusta, Domenico Talia and Paolo Trunfio). 2.1 Introduction. 2.2 Approach. 2.3 Knowledge Grid services. 2.4 Data analysis services. 2.5 Design of Knowledge Grid applications. 2.6 Conclusions. 3. GridMiner: an advanced support for e-science analytics (Peter Brezany, Ivan Janciak and A. Min Tjoa). 3.1 Introduction. 3.2 Rationale behind the design and development of GridMiner. 3.3 Use case. 3.4 Knowledge discovery process and its support by GridMiner. 3.5 Graphical user interface. 3.6 Future developments. 3.7 Conclusions. 4. ADaM services: scientific data mining in the service-oriented architecture paradigm (Rahul Ramachandran, Sara Graves, John Rushing, Ken Keiser, Manil Maskey, Hong Lin and Helen Conover). 4.1 Introduction. 4.2 ADaM system overview. 4.3 ADaM toolkit overview. 4.4 Mining in a service-oriented architecture. 4.5 Mining Web services. 4.6 Mining grid services. 4.7 Summary. 5. Mining for misconfigured machines in grid systems (Noam Palatin, Arie Leizarowitz, Assaf Schuster and Ran Wolff). 5.1 Introduction. 5.2 Preliminaries and related work. 5.3 Acquiring, pre-processing and storing data. 5.4 Data analysis. 5.5 The GMS. 5.6 Evaluation. 5.7 Conclusions and future work. 6. FAEHIM: Federated Analysis Environment for Heterogeneous Intelligent Mining (Ali Shaikh Ali and Omer F. Rana). 6.1 Introduction. 6.2 Requirements of a distributed knowledge discovery framework. 6.3 Workflow-based knowledge discovery. 6.4 Data mining toolkit. 6.5 Data mining service framework. 6.6 Distributed data mining services. 6.7 Data manipulation tools. 6.8 Availability. 6.9 Empirical experiments. 6.10 Conclusions. 7. Scalable and privacy preserving distributed data analysis over a service-oriented platform (William K. Cheung). 7.1 Introduction. 7.2 A service-oriented solution. 7.3 Background. 7.4 Model-based scalable, privacy preserving, distributed data analysis. 7.5 Modelling distributed data mining and workflow processes. 7.6 Lessons learned. 7.7 Further research directions. 7.8 Conclusions. 8. Building and using analytical workflows in Discovery Net (Moustafa Ghanem, Vasa Curcin, Patrick Wendel and Yike Guo). 8.1 Introduction. 8.2 Discovery Net system. 8.3 Architecture for Discovery Net. 8.4 Data management. 8.5 Example of a workflow study. 8.6 Future directions. 9. Building workflows that traverse the bioinformatics data landscape (Robert Stevens, Paul Fisher, Jun Zhao, Carole Goble and Andy Brass). 9.1 Introduction. 9.2 The bioinformatics data landscape. 9.3 The bioinformatics experiment landscape. 9.4 Taverna for bioinformatics experiments. 9.5 Building workflows in Taverna. 9.6 Workflow case study. 9.7 Discussion. 10. Specification of distributed data mining workflows with DataMiningGrid (Dennis Wegener and Michael May). 10.1 Introduction. 10.2 DataMiningGrid environment. 10.3 Operations for workflow construction. 10.4 Extensibility. 10.5 Case studies. 10.6 Discussion and related work. 10.7 Open issues. 10.8 Conclusions. 11. Anteater: service-oriented data mining (Renato A. Ferreira, Dorgival O. Guedes and Wagner Meira). 11.1 Introduction. 11.2 The architecture. 11.3 Runtime framework. 11.4 Parallel algorithms for data mining. 11.5 Visual metaphors. 11.6 Case studies. 11.7 Future developments. 11.8 Conclusions and future work. 12. DMGA: a generic brokering-based data mining grid architecture (Alberto Sánchez, María S. Pérez, Pierre Gueant, José M. Peña and Pilar Herrero). 12.1 Introduction. 12.2 DMGA overview. 12.3 Horizontal composition. 12.4 Vertical composition. 12.5 The need for brokering. 12.6 Brokering-based data mining grid architecture. 12.7 Use cases: Apriori, ID3 and J4.8 algorithms. 12.8 Related work. 12.9 Conclusions. 13. Grid-based data mining with the Environmental Scenario Search Engine (ESSE) (Mikhail Zhizhin, Alexey Poyda, Dmitry Mishin, Dmitry Medvedev, Eric Kihn and Vassily Lyutsarev). 13.1 Environmental data source: NCEP/NCAR reanalysis data set. 13.2 Fuzzy search engine. 13.3 Software architecture. 13.4 Applications. 13.5 Conclusions. 14. Data pre-processing using OGSA-DAI (Martin Swain and Neil P. Chue Hong). 14.1 Introduction. 14.2 Data pre-processing for grid-enabled data mining. 14.3 Using OGSA-DAI to support data mining applications. 14.4 Data pre-processing scenarios in data mining applications. 14.5 State of the art solutions for grid data management. 14.6 Discussion. 14.7 Open issues. 14.8 Conclusions. Index.


Best Sellers


Product Details
  • ISBN-13: 9780470512586
  • Publisher: John Wiley & Sons Inc
  • Publisher Imprint: John Wiley & Sons Inc
  • Height: 252 mm
  • No of Pages: 288
  • Returnable: N
  • Weight: 644 gr
  • ISBN-10: 047051258X
  • Publisher Date: 14 Nov 2008
  • Binding: Hardback
  • Language: English
  • Returnable: N
  • Spine Width: 20 mm
  • Width: 174 mm


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Data Mining Techniques in Grid Computing Environments
John Wiley & Sons Inc -
Data Mining Techniques in Grid Computing Environments
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Data Mining Techniques in Grid Computing Environments

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals

    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!