Sciweavers

112 search results - page 3 / 23
» Clustering Events on Streams Using Complex Context Informati...
Sort
View
CIKM
2008
Springer
14 years 26 days ago
Fast mining of complex time-stamped events
Given a collection of complex, time-stamped events, how do we find patterns and anomalies? Events could be meetings with one or more persons with one or more agenda items at zero ...
Hanghang Tong, Yasushi Sakurai, Tina Eliassi-Rad, ...
KDD
2009
ACM
160views Data Mining» more  KDD 2009»
14 years 5 months ago
Clustering event logs using iterative partitioning
The importance of event logs, as a source of information in systems and network management cannot be overemphasized. With the ever increasing size and complexity of today’s even...
Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangel...
CHI
1998
ACM
14 years 3 months ago
Exploring Browser Design Trade-Offs Using a Dynamical Model of Optimal Information Foraging
Designers and researchers of human-computer interaction need tools that permit the rapid exploration and management of hypotheses about complex interactions of designs, task condi...
Peter Pirolli
PERCOM
2010
ACM
13 years 9 months ago
Predicting mobility events on personal devices
High-end mobile phones are quickly becoming versatile sensing platforms, capable of continuously capturing the dynamic context of their owners through various sensors. A change in...
Arjan J. H. Peddemors, Henk Eertink, Ignas G. Niem...
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
14 years 11 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan