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» Process Diagnostics: A Method Based on Process Mining
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ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 10 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme
AMW
2010
15 years 6 months ago
Robust Clustering of Data Streams using Incremental Optimization
Discovering the patterns in evolving data streams is a very important and challenging task. In many applications, it is useful to detect the dierent patterns evolving over time and...
Basheer Hawwash, Olfa Nasraoui
KDD
2007
ACM
190views Data Mining» more  KDD 2007»
16 years 5 months ago
Model-shared subspace boosting for multi-label classification
Typical approaches to multi-label classification problem require learning an independent classifier for every label from all the examples and features. This can become a computati...
Rong Yan, Jelena Tesic, John R. Smith
EOR
2008
86views more  EOR 2008»
15 years 4 months ago
Fuzzy inference to assess manufacturing process capability with imprecise data
Process capability indices provide numerical measures on whether a process conforms to the defined manufacturing capability prerequisite. These have been successfully applied by c...
Bi-Min Hsu, Ming-Hung Shu
DSN
2008
IEEE
15 years 11 months ago
Hot-spot prediction and alleviation in distributed stream processing applications
Many emerging distributed applications require the realtime processing of large amounts of data that are being updated continuously. Distributed stream processing systems offer a ...
Thomas Repantis, Vana Kalogeraki