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KDD
2003
ACM
148views Data Mining» more  KDD 2003»
14 years 5 months ago
Mining concept-drifting data streams using ensemble classifiers
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...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
JCP
2006
173views more  JCP 2006»
13 years 4 months ago
Database Intrusion Detection using Weighted Sequence Mining
Data mining is widely used to identify interesting, potentially useful and understandable patterns from a large data repository. With many organizations focusing on webbased on-lin...
Abhinav Srivastava, Shamik Sural, Arun K. Majumdar
WEBI
2009
Springer
13 years 11 months ago
Data Mining for Malicious Code Detection and Security Applications
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
Bhavani M. Thuraisingham
SDM
2009
SIAM
144views Data Mining» more  SDM 2009»
14 years 2 months ago
On Segment-Based Stream Modeling and Its Applications.
The primary constraint in the effective mining of data streams is the large volume of data which must be processed in real time. In many cases, it is desirable to store a summary...
Charu C. Aggarwal
RSP
2007
IEEE
141views Control Systems» more  RSP 2007»
13 years 11 months ago
Rapid Prototyping of Intrusion Detection Systems
Designing security softwares that evolve as quickly as threats is a truthful challenge. In addition, current software becomes increasingly more complex and difficult to handle ev...
Fabrice Kordon, Jean-Baptiste Voron