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KDD
2009
ACM
189views Data Mining» more  KDD 2009»
16 years 1 months ago
CoCo: coding cost for parameter-free outlier detection
How can we automatically spot all outstanding observations in a data set? This question arises in a large variety of applications, e.g. in economy, biology and medicine. Existing ...
Christian Böhm, Katrin Haegler, Nikola S. M&u...
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
16 years 7 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
16 years 7 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
IJSNET
2007
169views more  IJSNET 2007»
15 years 6 months ago
ART: an asymmetric and reliable transport mechanism for wireless sensor networks
: Many applications developed for wireless sensor networks (WSNs) demand for Reliable communication service, since majority of these applications are event-critical applications. T...
Nurcan Tezcan, Wenye Wang
VLDB
1999
ACM
224views Database» more  VLDB 1999»
15 years 10 months ago
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering
Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional sp...
Alexander Hinneburg, Daniel A. Keim