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SDM
2009
SIAM
223views Data Mining» more  SDM 2009»
16 years 4 months ago
Context Aware Trace Clustering: Towards Improving Process Mining Results.
Process Mining refers to the extraction of process models from event logs. Real-life processes tend to be less structured and more flexible. Traditional process mining algorithms...
R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aa...
FASE
2009
Springer
15 years 10 months ago
Mining API Error-Handling Specifications from Source Code
Abstract. API error-handling specifications are often not documented, necessitating automated specification mining. Automated mining of error-handling specifications is challenging...
Mithun Acharya, Tao Xie
ESWA
2002
93views more  ESWA 2002»
15 years 6 months ago
Image mining by content
Image mining presents special characteristics due to the richness of the data that an image can show. Effective evaluation of the results of image mining by content requires that ...
Aura Conci, Everest Mathias M. M. Castro
KDD
2004
ACM
114views Data Mining» more  KDD 2004»
16 years 7 months ago
Mining reference tables for automatic text segmentation
Automatically segmenting unstructured text strings into structured records is necessary for importing the information contained in legacy sources and text collections into a data ...
Eugene Agichtein, Venkatesh Ganti
ICDM
2003
IEEE
140views Data Mining» more  ICDM 2003»
16 years 4 days ago
Mining Frequent Itemsets in Distributed and Dynamic Databases
Traditional methods for frequent itemset mining typically assume that data is centralized and static. Such methods impose excessive communication overhead when data is distributed...
Matthew Eric Otey, Chao Wang, Srinivasan Parthasar...