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ICDE
2006
IEEE
110views Database» more  ICDE 2006»
14 years 8 months ago
Mining Dense Periodic Patterns in Time Series Data
Existing techniques to mine periodic patterns in time series data are focused on discovering full-cycle periodic patterns from an entire time series. However, many useful partial ...
Chang Sheng, Wynne Hsu, Mong-Li Lee
ISMIS
2005
Springer
14 years 1 months ago
Model-Based Cluster Analysis for Web Users Sessions
One of the main issues inWeb usage mining is the discovery of patterns in the navigational behavior of Web users. Standard approaches, such as clustering of users’sessions and di...
George Pallis, Lefteris Angelis, Athena Vakali
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
13 years 12 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
NIPS
2008
13 years 9 months ago
Integrating Locally Learned Causal Structures with Overlapping Variables
In many domains, data are distributed among datasets that share only some variables; other recorded variables may occur in only one dataset. While there are asymptotically correct...
Robert E. Tillman, David Danks, Clark Glymour
ASUNAM
2009
IEEE
14 years 2 months ago
Social Network Discovery Based on Sensitivity Analysis
—This paper presents a novel methodology for social network discovery based on the sensitivity coefficients of importance metrics, namely the Markov centrality of a node, a metr...
Tarik Crnovrsanin, Carlos D. Correa, Kwan-Liu Ma