6 search results - page 1 / 2 » Partial drift detection using a rule induction framework |
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
AAAI
1994
13 years 6 months ago
1994
This paper presents snlp+ebl, the first implementation of explanation based learning techniques for a partial order planner. We describe the basic learning framework of snlp+ebl, ...
IDEAL
2003
Springer
13 years 10 months ago
2003
Springer
As the complexity of Internet is scaled up, it is likely for the Internet resources to be exposed to Distributed Denial of Service (DDoS) flooding attacks on TCP-based Web servers....
CORR
2008
Springer
13 years 5 months ago
2008
Springer
In many fields where human understanding plays a crucial role, such as bioprocesses, the capacity of extracting knowledge from data is of critical importance. Within this framewor...
RAID
1999
Springer
13 years 9 months ago
1999
Springer
We have been developing a data mining (i.e., knowledge discovery) framework, MADAM ID, for Mining Audit Data for Automated Models for Intrusion Detection [LSM98, LSM99b, LSM99a]. ...