Business Intelligence

Performance Measure of Similis and FP-Growth Algorithm

Download Now Free registration required

Executive Summary

Exploration, analysis of data and to know patterns from large data repository has become the need of an hour. Data Mining Technology provides the solution to meet the market trends. Mining association rule is one of the main application areas of Data Mining. It gives a set of customer transactions on items; the aim is to find correlations between the sales of items. At present there are various Association Rules Algorithms are in market. This paper define the survey done on various algorithms of Association Rules of Data Mining and also compare two main algorithms-Similis Algorithm and FP-Growth Algorithm depending upon the different criteria.

  • Format: PDF
  • Size: 488.94 KB