Paper Title:
A Kernel Density Estimation Based Interestingness Measure for Association Rule Mining
  Abstract

Association rules provide a concise statement of potentially useful information, and have been widely used in real applications. However, the usefulness of association rules highly depends on the interestingness measure which is used to select interesting rules from millions of candidates. In this study, a probability analysis of association rules is conducted, and a discrete kernel density estimation based interestingness measure is proposed accordingly. The new proposed interestingness measure makes the most of the information contained in the data set and obtains much lower falsely discovery rate than the existing interestingness measures. Experimental results show the effectiveness of the proposed interestingness measure.

  Info
Periodical
Edited by
Qi Luo
Pages
389-394
DOI
10.4028/www.scientific.net/AMM.20-23.389
Citation
Z. F. Hao, R. C. Cai, T. Wu, Y. Y. Zhou, "A Kernel Density Estimation Based Interestingness Measure for Association Rule Mining", Applied Mechanics and Materials, Vols. 20-23, pp. 389-394, 2010
Online since
January 2010
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Han Ming
Abstract:Evaluation method of reliability parameter estimation needs to be improved effectively with the advance of science and technology. This paper...
601
Authors: Yun Yang, Li Chun Sui, Ying Lin
Abstract:Remotely sensed imagery with high spatial resolution often shows serious intra-class spectral variations and details disturbances. This leads...
458
Authors: Juggrapong Treetrong
Chapter 7: Dynamics of Mechanisms and Systems
Abstract:This paper proposes a new method of motor fault detection. ML Estimation is proposed as a key technique for signal processing. The stator...
1958
Authors: Guang Zu Liu, Jian Xin Wang
Chapter 9: Signal & Data Processing Technology and System
Abstract:To improve the estimation accuracy of non-data-aided (NDA) signal-to-noise ratio (SNR) estimators at low SNR value, A novel estimation...
994
Authors: Bo Wan, Gui Cui Fu, Li Wang
Chapter 2: Applied Mechanics and Mechanical Engineering
Abstract:In practice, most mechanical and electrical products life obeys Weibull distribution.This paper based on the relationship between Weibull...
332