Distributed association rule mining algorithms

Author: Smit Mukesh Chaudhary

Chaudhary, Smit Mukesh, 2021 Distributed association rule mining algorithms, Flinders University, College of Science and Engineering

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Association rule mining is one of the maximum extensive facts mining procedures. Association rule mining is used to find hyperlinks among one-of-a-kind gadgets in massive databases. The concept of the method is utilized in maximum different association rule mining techniques. The particular set of policies runs on a unmarried node or laptop. Due to the confined computing sources available, the algorithm's potential to execute on massive datasets is confined. There has been lots of paintings carried out to parallelize the method. These treasured insights can offer the corporation with a primary aggressive area within side the market, permitting it to develop right into a extra distinguished competitor. As a result, corporations are using records mining, records preprocessing, records wrangling, records warehouses, and records visualization tools. All of those techniques permit the employer to benefit applicable expertise and enhance its cutting-edge operational structure.

Keywords: Association rule, Mining, Data Mining, Distributed Association rule, Mining algorithms, Information Retrieval, Efficient Algorithm

Subject: Computer Science thesis

Thesis type: Masters
Completed: 2021
School: College of Science and Engineering
Supervisor: John F Roddick