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This research focuses on prediction, a very important step in classification, and introduces a new prediction method called Associative Classification Mining based on Na\u00efve Bayesian method. The running time is decreased by removing the ranking procedure that is usually the first step in ranking the derived Classification Association Rules. The prediction method is enhanced using the Na\u00efve Bayesian Algorithm. The results of the experiments demonstrate high classification accuracy.<\/p>","DOI":"10.4018\/jitwe.2013010102","type":"journal-article","created":{"date-parts":[[2013,9,18]],"date-time":"2013-09-18T09:27:54Z","timestamp":1379496474000},"page":"23-35","source":"Crossref","is-referenced-by-count":1,"title":["ACNB"],"prefix":"10.4018","volume":"8","author":[{"given":"Fadi","family":"Odeh","sequence":"first","affiliation":[{"name":"Department of Computer Science, Al-Balqa Applied University, Salt, Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nijad","family":"Al-Najdawi","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Al-Balqa Applied University, Salt, Jordan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"jitwe.2013010102-0","unstructured":"Agrawal, R., & Srikant, R. (1994). Fast algorithms for mining association rule. 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