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KDD
2009
ACM
347views Data Mining» more  KDD 2009»
14 years 3 months ago
FpViz: a visualizer for frequent pattern mining
Over the past 15 years, numerous algorithms have been proposed for frequent pattern mining as it plays an essential role in many knowledge discovery and data mining (KDD) tasks. M...
Carson Kai-Sang Leung, Christopher L. Carmichael
PKDD
1999
Springer
272views Data Mining» more  PKDD 1999»
14 years 1 months ago
Handling Missing Data in Trees: Surrogate Splits or Statistical Imputation
Abstract. In many applications of data mining a - sometimes considerable - part of the data values is missing. This may occur because the data values were simply never entered into...
A. J. Feelders
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
14 years 9 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
JUCS
2008
125views more  JUCS 2008»
13 years 8 months ago
Improving AEH Courses through Log Analysis
: Authoring in adaptive educational hypermedia environment is complex activity. In order to promote a wider application of this technology, the teachers and course designers need s...
César Vialardi Sacín, Javier Bravo, ...
BPM
2009
Springer
161views Business» more  BPM 2009»
14 years 3 months ago
Trace Clustering Based on Conserved Patterns: Towards Achieving Better Process Models
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...