It takes the average reader 1 hour and 49 minutes to read Extensible Multi-Agent System for Heterogeneous Database Association Rule Mining and Unification by Christopher Marks
Assuming a reading speed of 250 words per minute. Learn more
The Probabilities, Expert System, Knowledge, and Inference (PESKI) system uses the data mining of association rules to fill incompleteness in the knowledge of an expert system. The rules are mined from transactional data sources and then incorporated using an existing link to PESKI. One method of providing a system that will easily allow new data sources to be added is using an information gathering agent-based system. This research first develops a methodology for designing and creating a multi-agent system. It then applies this methodology to design a platform independent means of data mining data sources of any format. The use of agents allows a format specific agent to be used for every data source. The system performs the data mining, then unifies the association rules to present one list of unique results to the parent application.
Extensible Multi-Agent System for Heterogeneous Database Association Rule Mining and Unification by Christopher Marks is 107 pages long, and a total of 27,499 words.
This makes it 36% the length of the average book. It also has 34% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 30 minutes to read Extensible Multi-Agent System for Heterogeneous Database Association Rule Mining and Unification aloud.
Extensible Multi-Agent System for Heterogeneous Database Association Rule Mining and Unification is suitable for students ages 10 and up.
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