134 search results - page 4 / 27 » Mining emerging patterns by streaming feature selection |
KDD
2003
ACM
14 years 8 months ago
2003
ACM
Using visualization techniques to explore and understand high-dimensional data is an efficient way to combine human intelligence with the immense brute force computation power ava...
SIGMOD
2004
ACM
14 years 7 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...
WSDM
2012
ACM
12 years 3 months ago
2012
ACM
As massive repositories of real-time human commentary, social media platforms have arguably evolved far beyond passive facilitation of online social interactions. Rapid analysis o...
KDD
2003
ACM
14 years 8 months ago
2003
ACM
High-dimensional data poses a severe challenge for data mining. Feature selection is a frequently used technique in preprocessing high-dimensional data for successful data mining....
ICDM
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we study a new research problem of causal discovery from streaming features. A unique characteristic of streaming features is that not all features can be available ...