Mining Data Using Various Association Rule Mining Algorithms in Distributed Environment Using MPI

  Riddhi N. Bhoraniya,  Arjun V. Bala

Data mining combines machine learning, statistics and visualization techniques to discover and extract knowledge. In order to improve the efficiency of mining algorithm for the large data sets we are implementing Distributed Data Mining (DDM). In distributed association rule mining algorithm, one of the major challenges is to reduce the communication overhead. Data sites are required to exchange lot of information in the data mining process which may generates massive communication overhead. Message passing interface (MPI) is a technique to exchange information among a number of communicating nodes. Here we apply association rule mining algorithms like TopKRules and TNR algorithm in distributed environment using MPI for mining data within less communication overhead.

Keywords- Data Mining, Distributed Data Mining, Association rule mining, Message Passing Interface (MPI).

Unique Identification Number - IJEDR1404044
Page Number(s) - 3667-3670
Pubished in - Volume 2 | Issue 4 | Dec 2014
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Riddhi N. Bhoraniya,  Arjun V. Bala,   "Mining Data Using Various Association Rule Mining Algorithms in Distributed Environment Using MPI", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.2, Issue 4, pp.3667-3670, Dec 2014, Available at :http://www.ijedr.org/papers/IJEDR1404044.pdf