Journal of Engineering and Applied Sciences

Year: 2018
Volume: 13
Issue: 5
Page No. 1228 - 1234

Parallel Processing for Data Mining and Data Analysis Applications

Authors : Mohammad H. Moattar, Maziyar Taharozi, Samira Arabi Yazdi and Sodabeh Salehi Rekavandi

References

Apiletti, D., E. Baralis, T. Cerquitelli, P. Garza and F. Pulvirenti et al ., 2017. A parallel mapreduce algorithm to efficiently support itemset mining on high dimensional data. Big Data Res., 10: 53-69.
CrossRef  |  Direct Link  |  

Mallick, B., D. Garg and P.S. Grover, 2014. Constraint-based sequential pattern mining: A pattern growth algorithm incorporating compactness, length and monetary. Int. Arab J. Inf. Technol., 11: 33-42.
Direct Link  |  

Menandas, J.J. and J.J. Joshi, 2014. Data mining with parallel processing technique for complexity reduction and characterization of big data. Glob. J. Adv. Res., 1: 69-80.
Direct Link  |  

Simoes, P.W., R. Venson, E. Communello, R.A. Casagrande and E. Bigaton et al., 2015. Distributed Parallel Computing in Data Analysis of Osteoporosis. In: MEDINFO 2015: EHealth-enabled Health, Sarkar I.N., ‎A. Georgiou, ‎P. Mazzoncini and A. Marques (Eds.). IMIA and IOS Press, Amsterdam, Netherlands, ISBN:978-1-61499-563-0, pp: 1082-1083.

Thabtah, F., S. Hammoud and H. Abdel-Jaber, 2015. Parallel associative classification data mining frameworks based mapreduce. Parallel Process. Lett., Vol. 25,

Tsai, C.F., W.C. Lin and S.W. Ke, 2016. Big data mining with parallel computing: A comparison of distributed and MapReduce methodologies. J. Syst. Software, 122: 83-92.
Direct Link  |  

Xiao, H., 2010. Towards parallel and distributed computing in large-scale data mining: A survey. MSc Thesis, Technical University of Munich, Munich, Germany.

Yan, X., J. Zhang, Y. Xun and X. Qin, 2017. A parallel algorithm for mining constrained frequent patterns using mapreduce. Soft Comput., 21: 2237-2249.
Direct Link  |  

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved