155 search results - page 18 / 31 » Discovering Structural Patterns in Telecommunications Data |
65
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WEBI
2005
Springer
15 years 3 months ago
2005
Springer
Beyond serving as online diaries, weblogs have evolved into a complex social structure, one which is in many ways ideal for the study of the propagation of information. As weblog ...
KDD
2002
ACM
15 years 10 months ago
2002
ACM
Mining frequent trees is very useful in domains like bioinformatics, web mining, mining semi-structured data, and so on. We formulate the problem of mining (embedded) subtrees in ...
106
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ADC
2003
Springer
15 years 2 months ago
2003
Springer
Discovering association rules that identify relationships among sets of items is an important problem in data mining. Finding frequent item sets is computationally the most expens...
176
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ICDE
2004
IEEE
15 years 11 months ago
2004
IEEE
Frequent structure mining (FSM) aims to discover and extract patterns frequently occurring in structural data, such as trees and graphs. FSM finds many applications in bioinformat...
108
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KDD
2010
ACM
15 years 1 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...