Network data mining based on artificial intelligence inference engine

Demand for rapid development of computerized reporting of the contract, the framework program tireless identity of a generalization of electronic records in the form of slogans, is a matter of major concern. In this paper, the term extraction method based on the use of text mining equipment business Word Stat and Compare-Suite Pro, devised a method to imaginative deployment of a large number of Expert System (ES) techniques. These processes include ES categories, including: Rule-based framework, information-based, case-based, wise experts, and based on the main frame fuzzy, object placement strategy, Depending on the position and the study in the article tile sets most repeated words, theories and buzzwords single ES strategy to select keywords. Build a framework for a main sequence induction query based, the extraction process is based on the slogan Policy. Catchword frame is sorted based on the weight of the sentence According to isolate the slogan, the planned a deduction to in data mining. The product will see the slogans of different ES process articles and all other system all the different articles using age-dependent rule set. First, the creation of an induction search to be adjusted to accommodate articles remaining articles produced, and then approve the use of the remaining items. The results show a very high accuracy rate approval. Artificial intelligence is useful computerized assets, can be integrated with information science and research, in order to provide a more feasible, faster way to break down information. Finally, the estimate can be further improved by limiting the policy test equipment for future business plans and receive orders.