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» Mining association rules in very large clustered domains
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ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
14 years 9 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
KDD
2009
ACM
211views Data Mining» more  KDD 2009»
16 years 10 days ago
Address standardization with latent semantic association
Address standardization is a very challenging task in data cleansing. To provide better customer relationship management and business intelligence for customer-oriented cooperates...
Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang,...
BMCBI
2007
167views more  BMCBI 2007»
14 years 12 months ago
Applying negative rule mining to improve genome annotation
Background: Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homolog...
Irena I. Artamonova, Goar Frishman, Dmitrij Frishm...
VLDB
1997
ACM
175views Database» more  VLDB 1997»
15 years 4 months ago
STING: A Statistical Information Grid Approach to Spatial Data Mining
Spatial data mining, i.e., discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of s...
Wei Wang 0010, Jiong Yang, Richard R. Muntz
SOFTVIS
2005
ACM
15 years 5 months ago
Visual data mining in software archives
Software archives contain historical information about the development process of a software system. Using data mining techniques rules can be extracted from these archives. In th...
Michael Burch, Stephan Diehl, Peter Weißgerb...