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» Web log mining with adaptive support thresholds
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ITCC
2000
IEEE
13 years 10 months ago
Towards Knowledge Discovery from WWW Log Data
As the result of interactions between visitors and a web site, an http log file contains very rich knowledge about users on-site behaviors, which, if fully exploited, can better c...
Feng Tao, Fionn Murtagh
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
13 years 11 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
WEBNET
2000
13 years 7 months ago
Mining the Most Interesting Web Access Associations
: Web access patterns can provide valuable information for website designers in making website-based communication more efficient. To extract interesting or useful web access patte...
Li Shen, Ling Cheng, James Ford, Fillia Makedon, V...
BPM
2008
Springer
143views Business» more  BPM 2008»
13 years 7 months ago
Mining Based on Learning from Process Change Logs
In today's dynamic business world economic success of an enterprise increasingly depends on its ability to react to internal and external changes in a quick and flexible way. ...
Chen Li, Manfred Reichert, Andreas Wombacher
COLING
2010
13 years 23 days ago
Open Entity Extraction from Web Search Query Logs
In this paper we propose a completely unsupervised method for open-domain entity extraction and clustering over query logs. The underlying hypothesis is that classes defined by mi...
Alpa Jain, Marco Pennacchiotti