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» Reducing the Frequent Pattern Set
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ICDM
2007
IEEE
122views Data Mining» more  ICDM 2007»
14 years 2 months ago
Zonal Co-location Pattern Discovery with Dynamic Parameters
Zonal co-location patterns represent subsets of featuretypes that are frequently located in a subset of space (i.e., zone). Discovering zonal spatial co-location patterns is an im...
Mete Celik, James M. Kang, Shashi Shekhar
TKDE
2011
183views more  TKDE 2011»
13 years 2 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
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
13 years 7 months ago
Inferring neuronal network connectivity from spike data: A temporal data mining approach
Abstract. Understanding the functioning of a neural system in terms of its underlying circuitry is an important problem in neuroscience. Recent developments in electrophysiology an...
Debprakash Patnaik, P. S. Sastry, K. P. Unnikrishn...
ICCAD
1995
IEEE
120views Hardware» more  ICCAD 1995»
13 years 11 months ago
Pattern generation for a deterministic BIST scheme
Recently a deterministic built-in self-test scheme has been presented based on reseeding of multiple-polynomial linear feedback shift registers. This scheme encodes deterministic ...
Sybille Hellebrand, Birgit Reeb, Steffen Tarnick, ...
IEAAIE
1999
Springer
14 years 7 days ago
Modelling Fuzzy Sets Using Object-Oriented Techniques
This paper describes a new approach to model fuzzy sets using object-oriented programming techniques. Currently, the most frequently used method to model fuzzy sets is by using a p...
Gary Yat Chung Wong, Hon Wai Chun