872 search results - page 120 / 175 » Hybrid Learning Scheme for Data Mining Applications |
KDD
2004
ACM
14 years 8 months ago
2004
ACM
In a wide range of business areas dealing with text data streams, including CRM, knowledge management, and Web monitoring services, it is an important issue to discover topic tren...
ML
2000
ACM
13 years 7 months ago
2000
ACM
A new class of evolutionary computation processes is presented, called Learnable Evolution Model or LEM. In contrast to Darwinian-type evolution that relies on mutation, recombinat...
AUSAI
2004
Springer
14 years 1 months ago
2004
Springer
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
JMLR
2010
13 years 2 months ago
2010
In this paper we integrate two essential processes, discretization of continuous data and learning of a model that explains them, towards fully computational machine learning from...
ISMIS
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Anomaly detection is based on profiles that represent normal behaviour of users, hosts or networks and detects attacks as significant deviations from these profiles. In t...