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Programming parallel apriori algorithms for mining association rules

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1 Author(s)
Chia-Chu Chiang ; Dept. of Comput. Sci., Univ. of Arkansas at Little Rock, Little Rock, AR, USA

Many parallel programming languages provide a set of low-level parallel constructs which lead to programs that are difficult to design, implement, debug, and maintain. In this paper, we present a parallel programming paradigm using a sequential programming language that encapsulates low-level details of distributed and concurrent programming techniques and makes the details transparent to programmers. This paradigm allows programmers to program on several different platforms in a sequential language that they are most familiar with. In addition, the paradigm provides high-level language constructs for programmers to implement various distributed and parallel algorithms. The programming paradigm is illustrated with two parallel Apriori algorithms in data mining.

Published in:

System Science and Engineering (ICSSE), 2010 International Conference on

Date of Conference:

1-3 July 2010

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