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KDD
2007
ACM
179views Data Mining» more  KDD 2007»
15 years 4 months ago
Mining statistically important equivalence classes and delta-discriminative emerging patterns
The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This com...
Jinyan Li, Guimei Liu, Limsoon Wong
IVS
2008
145views more  IVS 2008»
14 years 10 months ago
Towards a taxonomy of movement patterns
A review of research that has been carried out on data mining and visual analysis of movement patterns suggests that there is little agreement on the relevant types of movement pa...
Somayeh Dodge, Robert Weibel, Anna-Katharina Laute...
ICDE
2009
IEEE
188views Database» more  ICDE 2009»
15 years 11 months ago
GuruMine: A Pattern Mining System for Discovering Leaders and Tribes
In this demo we introduce GuruMine, a pattern mining system for the discovery of leaders, i.e., influential users in social networks, and their tribes, i.e., a set of users usually...
Amit Goyal 0002, Byung-Won On, Francesco Bonchi, L...
TKDE
2011
183views more  TKDE 2011»
14 years 4 months ago
Mining Discriminative Patterns for Classifying Trajectories on Road Networks
—Classification has been used for modeling many kinds of data sets, including sets of items, text documents, graphs, and networks. However, there is a lack of study on a new kind...
Jae-Gil Lee, Jiawei Han, Xiaolei Li, Hong Cheng
ECML
2001
Springer
15 years 2 months ago
Learning of Variability for Invariant Statistical Pattern Recognition
In many applications, modelling techniques are necessary which take into account the inherent variability of given data. In this paper, we present an approach to model class speci...
Daniel Keysers, Wolfgang Macherey, Jörg Dahme...