LISS 2013 pp 1227-1231 | Cite as

Research on Application of FP-growth Algorithm for Lottery Analysis

  • Jianlin Zhang
  • Suozhu Wang
  • Huiying Lv
  • Chaoliang Zhou
Conference paper

Abstract

As mining association rules can find interesting links between item sets, FP-growth algorithm in association-rule mining and its application in analysis of lottery were researched. Firstly every number in lottery was regarded as an item, and this algorithm was applied to explore association rules between all numbers and the rules were estimated. Then the numbers were participated before they were used in the algorithm for mining, the mined rules have a larger range. Finally historical data was introduced, the missing values of the numbers were used to mine for association rules by FP-growth algorithm and the result rules were analyzed. Experimental results showed that mining using FP-growth algorithm for lottery can get a lot of interesting rules; it has a good influence on lottery analysis and prediction.

Keywords

Data mining Association rule FP-growth algorithm Lottery analysis 

References

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  3. Han Jiawei, Micheline Kamber (2010) Data mining: concepts and techniques. Fan Ming, Meng Xiaofeng (Translated), vol 2. China Machine Press, Beijing, pp 146–159Google Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Jianlin Zhang
    • 1
  • Suozhu Wang
    • 1
  • Huiying Lv
    • 1
  • Chaoliang Zhou
    • 2
  1. 1.College of ManagementCapital Normal UniversityBeijingChina
  2. 2.College of Information EngineeringCapital Normal UniversityBeijingChina

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