By Masoud Mohammadian
There's a huge raise within the quantity of knowledge to be had on world-wide-web and in addition in variety of on-line databases. this data abundance raises the complexity of finding proper info. this sort of complexity drives the necessity for enhanced and clever structures for seek and knowledge retrieval. clever brokers are at the moment used to enhance the hunt and retrieval info on world-wide-web. using present 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 data Retrieval discusses the root in addition to the pratical aspect of clever brokers and their idea and functions for internet information mining and knowledge 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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Extra info for Intelligent Agents for Data Mining and Information Retrieval
They can also support the validation scheme. Advances in multi-agent systems as an alternative way to build distributed systems have made agents a facilitator of human-computer interaction. Agents have been proven as helpful tools for the coordination of people who are performing a given task (Maes, 1994). Agent interaction protocols govern the exchange of a series of messages among agents, in accordance with the interaction style among actors. The interaction styles of individual agents can be competitive, cooperative or negotiating.
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The hybrid recommendation mechanism is based on association rule mining and on CBR, which is aimed at enriching the recommended information. The proposed mechanism consists of a four phase-association rule generation, case generation, construction of a hybrid knowledge base, and hybrid recommendation. The result of our experiment with an illustrative web log database proved to be valid and robust. Chapter IV: Customized Recommendation Mechanism Based on Web Data Mining and Case-Based 49 Reason apter IV:50 Customized Recommendation Mechanism Based on Web Data Mining and Case-Based Reasoning In conclusion, this study shows how the tacit knowledge within a web site can be brought together to create valuable decision support tools for an Internet Business focused on B2C (Business to Consumer).