122 search results - page 19 / 25 » On the Suitability of Genetic-Based Algorithms for Data Mini... |
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Statistical machine learning techniques for data classification usually assume that all entities are i.i.d. (independent and identically distributed). However, real-world entities...
SIGMOD
1999
ACM
13 years 12 months ago
1999
ACM
Cluster analysis is a primary method for database mining. It is either used as a stand-alone tool to get insight into the distribution of a data set, e.g. to focus further analysi...
ICDCSW
2005
IEEE
14 years 1 months ago
2005
IEEE
Anomaly detection in IP networks, detection of deviations from what is considered normal, is an important complement to misuse detection based on known attack descriptions. Perfor...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
Time series motif discovery is an important problem with applications in a variety of areas that range from telecommunications to medicine. Several algorithms have been proposed t...