Editorial: Special issue on mining low-quality data

被引：0
作者：
Xingquan Zhu
Taghi M. Khoshgoftaar
Ian Davidson
Shichao Zhang
机构：
[1] Florida Atlantic University,Department of Computer Science and Engineering
[2] Graduate University,Department of Computer Science
[3] Chinese Academy of Sciences,Department of Computer Science
[4] State University of New York,undefined
[5] Guangxi Normal University,undefined
来源：
Knowledge and Information Systems | 2007年 / 11卷
关键词：
Mach Learn; Association Rule Mining; Abductive Reasoning; Knowledge Discovery Process; Data Quality Indicator;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：131 / 136
页数：5
相关论文
共 23 条
[1]  
Aha DK(1991)Instance-based learning algorithm Mach Learn 6 37-66
[2]  
Albert M(1999)Enhancing data quality in data warehouse environment Commun ACM 42 73-78
[3]  
Ballou DP(1999)Identifying mislabeled training data J Artif Intell Res 11 131-167
[4]  
Tayi GK(2000)Noise detection and elimination in data preprocessing: experiments in medical domains Appl Artif Intell 14 205-223
[5]  
Brodley C(2005)Noise elimination with ensemble-classifier filtering for software quality estimation Intell Data Anal Int J 9 3-27
[6]  
Friedl M(1996)Current approaches to handling imperfect information in data and knowledge bases IEEE Trans Knowl Data Eng 8 353-372
[7]  
Gamberger D(1991)Detecting and correcting errors in rule-based expert systems: an integration of empirical and explanation-based learning Knowl Acquis 3 157-173
[8]  
Lavrac N(2004)Assessing data quality with control matrices Commun ACM 47 82-86
[9]  
Dzeroski S(2002)Data quality assessment Commun ACM 45 211-218
[10]  
Khoshgoftaar TM(1986)Induction of decision tree Mach Learn 1 81-106
123