DAFTAR PUSTAKA
Arora K. Rakesh & Badal Dharmendra. 2014 Mining Association Rules to Improve Academic Performance ”, International Journal of Computer Science and Mobile Computing, Vol. 3 : 1
Berry.M.J.A. & Linoff.G.S. 2004. Data Mining Techniques for Marketing, Sales, and Customer Relationship Management Second Edition .
Carugo.O, & Eisenhaber.F . 2010. Data Mining Techniques for the Life Sciences .
Heena Rani.Shuchita Upadhyaya & Vinod Kumar.2014. Frequent Pattern Analysis of Moving Objects Using Apriori Algorithm International Journal of Emerging Research in Management &Technology ISSN: 2278-9359 Vol. 3:4
Moriwal. Rahul .2014. FP-growth Tree for large and Dynamic Data Set and Improve . Efficiency. ISSN 1746-7659, England, UK Journal of Information and Computing Science Vol. 2:083-090
Wiley.J & Sons . 2015. Data Mining Algorithms with Explaned using R.
Sinha. K.P & Puran. R. 2013. An Efficient Algorithm for Finding 1-itemsets and Their Respective Counts in Frequent Pattern Mining Using Red-Black Tree ISSN: 2319-5967. ISO 9001:2008 Certified International Journal of Engineering Science and Innovative Technology (IJESIT) Volume 2:4
Kantardzic.M. 2001. Data Mining Concept, Models, Methods, And Algorithms
Kavi.V & Joshi.D. 2014. A Survey on Enhancing Data Processing of Positive and Association Rule Mining. International Journal of Computer Science and Engineering Vol. (2:3) pp: 2347-2693
Kumar B.S & Rukmani .K.V. 2010. Implementation of Web Usage Mining Using APRIORI and FP Growth Algorithms. Int. J. of Advanced Networking and Applications Vol. 1:6, Pages: 400-404
Wu.X at.al. 2007. Top 10 algorithms in data mining
Abdullah Saad Almalaise Alghamdi .2011. Efficient Implementation of FP Growth Algorithm-Data Mining on Medical Data. IJCSNS International Journal of Computer Science and Network Security, VOL.11
Han et al 2000. Mining Frequent Patterns without Candidate Generation In Proceedings of the 2000 ACM SIGMOD international Conference on Management of Data .SIGMOD '00. ACM Press, New York, NY, 1-12.
Tanna P & Ghodasara Y.2014. Using Apriori with WEKA for Frequent Pattern Mining International Journal of Engineering Trends and Technology (IJETT) – Vol. 12 :3
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Kaur et al 2014. Design and Implementation of Efficient Apriori Algorithm International Journal on Recent and Innovation Trends in Computing and Communication (Vol. 2 : 5) pp: 2321-8169