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INFORMATICALT
2008
13 years 7 months ago
2008
This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
BPM
2009
Springer
14 years 2 months ago
2009
Springer
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 ...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
ACCV
2010
Springer
13 years 2 months ago
2010
Springer
The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image r...
SIGMOD
2002
ACM
14 years 7 months ago
2002
ACM
Clustering is the process of grouping a set of objects into classes of similar objects. Although definitions of similarity vary from one clustering model to another, in most of th...