4 search results - page 1 / 1 » MOA: Massive Online Analysis, a Framework for Stream Classif... |
JMLR
2010
12 years 11 months ago
2010
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
SIGMOD
2004
ACM
14 years 5 months ago
2004
ACM
Real-time surveillance systems, network and telecommunication systems, and other dynamic processes often generate tremendous (potentially infinite) volume of stream data. Effectiv...
NIPS
2001
13 years 6 months ago
2001
Probabilistic mixture models are used for a broad range of data analysis tasks such as clustering, classification, predictive modeling, etc. Due to their inherent probabilistic na...