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PKDD
1999
Springer
106views Data Mining» more  PKDD 1999»
15 years 10 months ago
Heuristic Measures of Interestingness
When mining a large database, the number of patterns discovered can easily exceed the capabilities of a human user to identify interesting results. To address this problem, variou...
Robert J. Hilderman, Howard J. Hamilton
SDM
2004
SIAM
174views Data Mining» more  SDM 2004»
15 years 8 months ago
Classifying Documents Without Labels
Automatic classification of documents is an important area of research with many applications in the fields of document searching, forensics and others. Methods to perform classif...
Daniel Barbará, Carlotta Domeniconi, Ning K...
DATAMINE
1999
152views more  DATAMINE 1999»
15 years 6 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen
CIKM
2010
Springer
15 years 5 months ago
Generating advertising keywords from video content
With the proliferation of online distribution methods for videos, content owners require easier and more effective methods for monetization through advertising. Matching advertis...
Michael J. Welch, Junghoo Cho, Walter Chang
ICDM
2010
IEEE
232views Data Mining» more  ICDM 2010»
15 years 3 months ago
gSkeletonClu: Density-Based Network Clustering via Structure-Connected Tree Division or Agglomeration
Community detection is an important task for mining the structure and function of complex networks. Many pervious approaches are difficult to detect communities with arbitrary size...
Heli Sun, Jianbin Huang, Jiawei Han, Hongbo Deng, ...
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