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ERIC Number: ED514503
Record Type: Non-Journal
Publication Date: 2010
Pages: 222
Abstractor: As Provided
Reference Count: 0
ISBN: ISBN-978-1-1097-1462-3
ISSN: N/A
Intelligent Information Retrieval and Web Mining Architecture Using SOA
El-Bathy, Naser Ibrahim
ProQuest LLC, D.M.I.T. Dissertation, Lawrence Technological University
The study of this dissertation provides a solution to a very specific problem instance in the area of data mining, data warehousing, and service-oriented architecture in publishing and newspaper industries. The research question focuses on the integration of data mining and data warehousing. The research problem focuses on the development of intelligent information retrieval and web mining technique using SOA to accelerate the processing time at lower cost. The findings of the research are proved by designing and developing a prototype. The solution can be applied to resolve similar practical problems in various domains, including media stations, magazines, military, and medicine. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]
ProQuest LLC. 789 East Eisenhower Parkway, P.O. Box 1346, Ann Arbor, MI 48106. Tel: 800-521-0600; Web site: http://www.proquest.com/en-US/products/dissertations/individuals.shtml
Publication Type: Dissertations/Theses - Doctoral Dissertations
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A