Pengembangan Algortima Apriori Untuk Pengambilan Keputusan
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
Zaki. J.Mohammed & Wagner Meira JR. 2014 Data Mining And Analysis
Fundamental Concepts and Algorithms
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
https://.support.spatialkey.com/spatialkey-sample-csv-data/data sales di download
pada tanggal 18 Juni 2015 pukul 22.45 WIB
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
Tiansheng et al 2014. China stock market correlation mining algorithm based on FPTree. Journal of Chemical and Pharmaceutical Research,vol. 6(7):409-414
pp : 0975-7384. CODEN(USA) : JCPRC5
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
Zaki. J.Mohammed & Wagner Meira JR. 2014 Data Mining And Analysis
Fundamental Concepts and Algorithms
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
https://.support.spatialkey.com/spatialkey-sample-csv-data/data sales di download
pada tanggal 18 Juni 2015 pukul 22.45 WIB
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
Tiansheng et al 2014. China stock market correlation mining algorithm based on FPTree. Journal of Chemical and Pharmaceutical Research,vol. 6(7):409-414
pp : 0975-7384. CODEN(USA) : JCPRC5