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KDD
2005
ACM
139views Data Mining» more  KDD 2005»
16 years 5 days ago
Learning to predict train wheel failures
This paper describes a successful but challenging application of data mining in the railway industry. The objective is to optimize maintenance and operation of trains through prog...
Chunsheng Yang, Sylvain Létourneau
KDD
2003
ACM
128views Data Mining» more  KDD 2003»
16 years 7 months ago
Similarity analysis on government regulations
Government regulations are semi-structured text documents that are often voluminous, heavily cross-referenced between provisions and even ambiguous. Multiple sources of regulation...
Gloria T. Lau, Kincho H. Law, Gio Wiederhold
SIGMOD
1997
ACM
148views Database» more  SIGMOD 1997»
15 years 11 months ago
Beyond Market Baskets: Generalizing Association Rules to Correlations
One of the most well-studied problems in data mining is mining for association rules in market basket data. Association rules, whose significance is measured via support and confi...
Sergey Brin, Rajeev Motwani, Craig Silverstein
KDD
2007
ACM
151views Data Mining» more  KDD 2007»
16 years 7 months ago
Efficient mining of iterative patterns for software specification discovery
Studies have shown that program comprehension takes up to 45% of software development costs. Such high costs are caused by the lack-of documented specification and further aggrava...
Chao Liu 0001, David Lo, Siau-Cheng Khoo
KDD
2005
ACM
170views Data Mining» more  KDD 2005»
16 years 7 months ago
Parallel mining of closed sequential patterns
Discovery of sequential patterns is an essential data mining task with broad applications. Among several variations of sequential patterns, closed sequential pattern is the most u...
Shengnan Cong, Jiawei Han, David A. Padua