By Sandip Sen (auth.), Longbing Cao, Ana L. C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, Gerhard Weiss, Philip S. Yu (eds.)
This ebook constitutes the refereed complaints of the sixth overseas Workshop on brokers and information Mining interplay, ADMI 2010, held in Toronto, Canada, in may possibly 2010. The 15 revised complete papers awarded have been rigorously reviewed and chosen from 37 submissions. The papers are equipped in topical sections on brokers for information mining; info mining for brokers; facts mining in brokers; and agent mining purposes.
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Additional resources for Agents and Data Mining Interaction: 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers
Integration of data sources Based on the main goals, the decomposition of system goals is conducted as follows. The provision of user interaction is a crucial aspect of the information retrieval process in industrial automation systems and represents the main goal. The user needs to formulate his search requests and delegate its solution to the information retrieval system. Therefore the system needs to be capable of managing user requests. Over the course of the processing of a search request, the user also needs to interact with the system in order to narrow down the search scope, to select subsets of search results, or to make manual inputs.
In the context of the auction scenario, an agent observing a sanctioning event may invoke its norm inference component to find out what events that 3 A p-norm is the personal value of an agent. For example an agent may consider that bidding for an item of the same type that the bidder has won previously is an action that should be prohibited in a society. This personal value may not be shared by the agents in a society. A Data Mining Approach to Identify Obligation Norms 47 had happened in the past (or that had not happened in the past) may have triggered the occurrence of the special event4.
This requirement is satisfied by the given agent oriented approach. Based on the systematic analysis and decomposition of queries, the processing of search queries is done by specialised software agents. Agent types are characterised by the encapsulation of the knowledge regarded to process the search queries. This hides the complexity of the system from the user and simplifies the information gathering. Information Retrieval Agents have the appropriate expertise to manage data sources and process queries on them.