@inproceedings{scholars4276,
       publisher = {Institute of Electrical and Electronics Engineers Inc.},
         journal = {2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings},
           title = {A semi-apriori algorithm for discovering the frequent itemsets},
            note = {cited By 1; Conference of 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:112912},
            year = {2014},
             doi = {10.1109/ICCOINS.2014.6868358},
        abstract = {Mining the frequent itemsets are still one of the data mining research challenges. Frequent itemsets generation produce extremely large numbers of generated itemsets that make the algorithms inefficient. The reason is that the most traditional approaches adopt an iterative strategy to discover the itemsets, that's require very large process. Furthermore, the present mining algorithms cannot perform efficiently due to high and repeatedly database scan. In this paper we introduce a new binary-based Semi-Apriori technique that efficiently discovers the frequent itemsets. Extensive experiments had been carried out using the new technique, compared to the existing Apriori algorithms, a tentative result reveal that our technique outperforms Apriori algorithm in terms of execution time. {\^A}{\copyright} 2014 IEEE.},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938765772&doi=10.1109\%2fICCOINS.2014.6868358&partnerID=40&md5=43d9806c0645660332a405f83c3f4dc0},
        keywords = {Association rules; Iterative methods; Learning algorithms; Supports, Apriori algorithms; Apriori techniques; Confidence; Frequent itemset; Iterative strategy; Mining algorithms; Research challenges; Traditional approaches, Data mining},
            isbn = {9781479943913},
          author = {Fageeri, S. O. and Ahmad, R. and Baharudin, B. B.}
}