By Masoud Mohammadian
There's a huge raise within the volume of knowledge on hand on world-wide-web and in addition in variety of on-line databases. this data abundance raises the complexity of finding appropriate info. this kind of complexity drives the necessity for stronger and clever platforms for seek and knowledge retrieval. clever brokers are at the moment used to enhance the quest and retrieval details on world-wide-web. using latest seek and retrieval engines with the addition of clever brokers permits a extra complete seek with a functionality that may be measured. clever brokers for Mining and knowledge Retrieval discusses the basis in addition to the pratical part of clever brokers and their thought and functions for net information mining and data retrieval. The ebook can used for researchers on the undergraduate and post-graduate degrees in addition to a reference of the state-of-art for innovative researchers.
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1999). Mining the Web's link structure. Computer, 32, 60–67. Chang, C. & Hsu, C. (1997). Customizable multiengine search tool with clustering. Proceedings of the 6th International World Wide Web Conference. W. C. (2001). Mining association rule procedure to support online recommendation by customers and products fragmentation.
1995). Desiderata for agent communication languages. In AAAI Spring Symposium on Information Gathering (pp. 123–130). Merrill, M. D. (1994). Instructional Design Theory. Englewood Cliffs, NJ: Educational Technology Publications. Smith, R. G. & Davis, R. (1981). Frameworks for cooperation in distributed problem solving. IEEE Transactions on Systems, Man, and Cybernetics, 11, 61–70. Stewart, T. A. (1997). Intellectual Capital: The New Wealth of Organizations. New York: Doubleday. Sycara, K. (1990).
ACKNOWLEDGMENTS This work was supported by a Korea Research Foundation Grant (KRF-2002-003-B00099). , & Swami, A. (1993a). Mining association rules between sets of items in large databases. Proceedings of the ACM SIGMOD Conference on Management of Data, Washington, DC (pp. 207–216). , & Swami, A. (1993b). Database mining: A performance perspective. IEEE Transactions on Knowledge and Data Engineering, 5(6), 914–925. W. (1991, May). Case-based learning algorithm. Proceedings of the Case-Based Reasoning Workshop (pp.