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» Algorithms for time series knowledge mining
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ISCI
2008
166views more  ISCI 2008»
15 years 3 months ago
A discretization algorithm based on Class-Attribute Contingency Coefficient
Discretization algorithms have played an important role in data mining and knowledge discovery. They not only produce a concise summarization of continuous attributes to help the ...
Cheng-Jung Tsai, Chien-I Lee, Wei-Pang Yang
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
16 years 1 months ago
Mining Complex Spatio-Temporal Sequence Patterns.
Mining sequential movement patterns describing group behaviour in potentially streaming spatio-temporal data sets is a challenging problem. Movements are typically noisy and often...
Florian Verhein
SP
2008
IEEE
159views Security Privacy» more  SP 2008»
15 years 3 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...
SSD
2005
Springer
188views Database» more  SSD 2005»
15 years 9 months ago
Capacity Constrained Routing Algorithms for Evacuation Planning: A Summary of Results
Abstract. Evacuation planning is critical for numerous important applications, e.g. disaster emergency management and homeland defense preparation. Efficient tools are needed to pr...
Qingsong Lu, Betsy George, Shashi Shekhar
KDD
2009
ACM
243views Data Mining» more  KDD 2009»
16 years 4 months ago
Exploiting Wikipedia as external knowledge for document clustering
In traditional text clustering methods, documents are represented as "bags of words" without considering the semantic information of each document. For instance, if two ...
Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, ...