Paper Title:
Inverse Classification Problem of Quantitative Attributes
  Abstract

In order to overcome the disadvantage of most inverse classification algorithms address discrete attributes and can not deal with quantitative attributes. The discretization algorithms are applied to the inverse classification algorithms, and the main idea is: firstly, a group of feature attributes are selected by using feature selection algorithm; then, the quantitative attributes are discretized by using discretization algorithms, and the inverted statistics are constructed on the training samples; finally, the test samples are analyzed. Experimental results on IRIS and Ecoli datasets show that this method could find the class label effectively and estimate the missing values accurately, and the results were not worse than ISGNN and kNN.

  Info
Periodical
Edited by
Ran Chen
Pages
3538-3542
DOI
10.4028/www.scientific.net/AMM.44-47.3538
Citation
A. G. Li, X. Zhou, J. L. Zhang, "Inverse Classification Problem of Quantitative Attributes", Applied Mechanics and Materials, Vols. 44-47, pp. 3538-3542, 2011
Online since
December 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: Lu Na Byon, Jeong Hye Han
Abstract:As electronic commerce progresses, temporal association rules are developed by time to offer personalized services for customer’s interests....
287
Authors: Hai Feng Li, Ning Zhang
Chapter 1: Transportation & Service Science
Abstract:Maximal frequent itemsets are one of several condensed representations of frequent itemsets, which store most of the information contained in...
21
Authors: Dong Wang, Shi Huan Xiong
Chapter 8: Nanomaterials and Nanomanufacturing
Abstract:The learning sequence is an important factor of affecting the study effect about incremental Bayesian classifier. Reasonable learning...
1455
Authors: Xue Feng Wu, Yu Fan
Chapter 6: Mechatronics
Abstract:A new algorithms for parameters of an image irregular boundary circle parameters is presented, which is based on “Curve-Approximate Method”...
639
Authors: Li Yan Jiang, Ya Ping Zhong, Qing Jian Wu
Chapter 5: Algorithm Design and Applications
Abstract:The sports injury is common in training, hindered the athletes to further improve the sports results. There are many factors in sports...
1545