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» Benchmarking Data Mining Algorithms
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145
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KDD
2010
ACM
217views Data Mining» more  KDD 2010»
15 years 2 months ago
Mining program workflow from interleaved traces
Successful software maintenance is becoming increasingly critical due to the increasing dependence of our society and economy on software systems. One key problem of software main...
Jian-Guang Lou, Qiang Fu, Shengqi Yang, Jiang Li, ...
KDD
2010
ACM
279views Data Mining» more  KDD 2010»
15 years 7 months ago
Unifying dependent clustering and disparate clustering for non-homogeneous data
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...
M. Shahriar Hossain, Satish Tadepalli, Layne T. Wa...
IDA
2002
Springer
15 years 3 months ago
Optimization of association rule mining queries
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
Baptiste Jeudy, Jean-François Boulicaut
PAKDD
2009
ACM
103views Data Mining» more  PAKDD 2009»
15 years 10 months ago
Hot Item Detection in Uncertain Data
Abstract. An object o of a database D is called a hot item, if there is a sufficiently large population of other objects in D that are similar to o. In other words, hot items are ...
Thomas Bernecker, Hans-Peter Kriegel, Matthias Ren...
103
Voted
KDD
2005
ACM
103views Data Mining» more  KDD 2005»
16 years 4 months ago
Fast discovery of unexpected patterns in data, relative to a Bayesian network
We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Szymon Jaroszewicz, Tobias Scheffer