MapReduce as a programming model for association rules algorithm on Hadoop

Proceedings - 3rd International Conference on Information Sciences and Interaction Sciences, ICIS 2010

Volumn , Issue , 2010, Pages 99-102

  Yang, Xin Yue ^a   Liu, Zhen ^a   Fu, Yan ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Apriori; Association rules; Hadoop; KDD; MapReduce

Indexed keywords

ALGORITHM PERFORMANCE; APRIORI; APRIORI ALGORITHMS; CLOUD COMPUTING; CPU RESOURCES; HADOOP; KDD; MAP-REDUCE; MASSIVE DATA SETS; MULTI-DIMENSIONAL DATASETS; PROGRAMMING MODELS; RAPID GROWTH;

ALGORITHMS; ASSOCIATION RULES; INFORMATION SCIENCE;

ASSOCIATIVE PROCESSING;

EID: 77957558625     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICIS.2010.5534718     Document Type: Conference Paper

References (13)

1. Apache Hadoop. http://hadoop.apache.org/.
2. J. Dean and S. Ghemawat. Mapreduce: Simplified data processing on large clusters, ACM Commun, vol. 51, Jan. 2008, pp. 107-113.
3. Ashrafi, M. Zaman, T.David, S.Kate. ODAM. An optimized distributed association rule mining algorithm. IEEE Distributed Systems Online.
4. Association rule learning. http://en.wikipedia.org/wiki/Association-rule- learning.
5. J.Ekanayake, S.Pallickara, G.Fox. Map-Reduce for Machine Learning on Multicore. IEEE International Conference on In eScience, 2008.
6. J.Ekanayake, S.Pallickara, G.Fox. MapReduce for data intensive scientific analyses. Proceedings - 4th IEEE International Conference on eScience.
7. Zhang C.S, Li Z.Y, Zheng D.S, An Improved Algorithm for Apriori. Fourth. Proceedings of the 1st International Workshop on Education Technology and Computer Science, ETCS 2009, v 1, p 995-998, 2009.
8. C.Jin, C.Vecchiola, R.Buyya. MRPGA: An Extension of MapReduce for Parallelizing Genetic Algorithms.Fourth IEEE International Conference on eScience 2008.
9. T.Elsayed, J.Lin, and Douglas W. Oard. Pairwise Document Similarity in Large Collections with MapReduce. Proceedings - 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2009.
10. J.H.C. Yeung, C.C. Tsang, K.H. Tsoi, B.Kwan, C. Cheung, A.P.C. Chan, P.H.W. Leong. Map-reduce as a Programming Model for Custom Computing Machines. Proceedings of the 16th IEEE Symposium on Field-Programmable Custom Computing Machines, FCCM'08.
11. M.Zaharia, A.Konwinski, A. D. Joseph, R. Katz, I. Stoica. Improving MapReduce Performance in Heterogeneous Environments. EECS Department University of California, Berkeley Technical Report No. UCB/EECS-2008-99 August 19, 2008.
12. B. Panda, J.S. Herbach, S.Basu, R.J. Bayardo. Massively Parallel Learning of Tree Ensembles with MapReduce http://citeseerx.ist.psu.edu/viewdoc/summary? doi=10.1.1.149.4871.
13. th Intl. Conf. on Very Large Data Bases(VLD'94).