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» Mining Periodic Patterns in Sequence Data
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PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 3 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
KES
2009
Springer
14 years 3 months ago
A Platform for Extracting and Storing Web Data
The web data or data originated on the Web contain information and knowledge which allows improving web site efficiency and effectiveness to attract and retain visitors. However, w...
L. Víctor Rebolledo, Juan D. Velásqu...
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
14 years 3 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...
ICDM
2008
IEEE
155views Data Mining» more  ICDM 2008»
14 years 3 months ago
Organic Pie Charts
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
Fabian Mörchen
KDD
2002
ACM
145views Data Mining» more  KDD 2002»
14 years 9 months ago
Handling very large numbers of association rules in the analysis of microarray data
The problem of analyzing microarray data became one of important topics in bioinformatics over the past several years, and different data mining techniques have been proposed for ...
Alexander Tuzhilin, Gediminas Adomavicius