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» On data mining, compression, and Kolmogorov complexity
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KDD
1995
ACM
130views Data Mining» more  KDD 1995»
15 years 1 months ago
Compression-Based Evaluation of Partial Determinations
Our work tackles the problem of finding partial determinations in databases and proposes a compressionbased measure to evaluate them. Partial determinations can be viewed as gener...
Bernhard Pfahringer, Stefan Kramer
72
Voted
EUROSSC
2007
Springer
15 years 3 months ago
Escalation:  Complex Event Detection in Wireless Sensor Networks
We present a new approach for the detection of complex events in Wireless Sensor Networks. Complex events are sets of data points that correspond to interesting or unusual patterns...
Michael Zoumboulakis, George Roussos
PAKDD
2000
ACM
140views Data Mining» more  PAKDD 2000»
15 years 1 months ago
Performance Controlled Data Reduction for Knowledge Discovery in Distributed Databases
The objective of data reduction is to obtain a compact representation of a large data set to facilitate repeated use of non-redundant information with complex and slow learning alg...
Slobodan Vucetic, Zoran Obradovic
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
15 years 4 months ago
Finding Good Itemsets by Packing Data
The problem of selecting small groups of itemsets that represent the data well has recently gained a lot of attention. We approach the problem by searching for the itemsets that c...
Nikolaj Tatti, Jilles Vreeken
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 6 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He