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FGR
2004
IEEE
133views Biometrics» more  FGR 2004»
13 years 8 months ago
Finding Temporal Patterns by Data Decomposition
We present a new unsupervised learning technique for the discovery of temporal clusters in large data sets. Our method performs hierarchical decomposition of the data to find stru...
David C. Minnen, Christopher Richard Wren
KES
2007
Springer
13 years 11 months ago
APD-A Tool for Identifying Behavioural Patterns Automatically from Clickstream Data
Abstract. Clickstream can be a rich source of data for analysing user behaviour, but the volume of these logs makes it difficult to identify and categorise behavioural patterns. In...
I-Hsien Ting, Lillian Clark, Chris Kimble, Daniel ...
WISE
2002
Springer
13 years 9 months ago
Log Mining to Improve the Performance of Site Search
Despite of the popularity of global search engines, people still suffer from low accuracy of site search. The primary reason lies in the difference of link structures and data sca...
Gui-Rong Xue, Hua-Jun Zeng, Zheng Chen, Wei-Ying M...
WABI
2001
Springer
142views Bioinformatics» more  WABI 2001»
13 years 9 months ago
Pattern Matching and Pattern Discovery Algorithms for Protein Topologies
We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgrap...
Juris Viksna, David Gilbert
WWW
2009
ACM
14 years 5 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...