37 search results - page 2 / 8 » An Efficient and Sensitive Decision Tree Approach to Mining ... |
KDD
2009
ACM
14 years 5 months ago
2009
ACM
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
KDD
2008
ACM
14 years 5 months ago
2008
ACM
Closed patterns are powerful representatives of frequent patterns, since they eliminate redundant information. We propose a new approach for mining closed unlabeled rooted trees a...
ICDM
2009
IEEE
13 years 2 months ago
2009
IEEE
Clustering streaming data requires algorithms which are capable of updating clustering results for the incoming data. As data is constantly arriving, time for processing is limited...
KDD
2003
ACM
14 years 5 months ago
2003
ACM
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
DIS
2004
Springer
13 years 10 months ago
2004
Springer
The two main challenges typically associated with mining data streams are concept drift and data contamination. To address these challenges, we seek learning techniques and models ...