134 search results - page 9 / 27 » Mining emerging patterns by streaming feature selection |
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
ICDE
2009
IEEE
14 years 9 months ago
2009
IEEE
Graphs are being increasingly used to model a wide range of scientific data. Such widespread usage of graphs has generated considerable interest in mining patterns from graph datab...
CORR
2008
Springer
13 years 6 months ago
2008
Springer
In this chapter we consider a cell phone network as a set of automatically deployed sensors that records movement and interaction patterns of the population. We discuss methods fo...
ICDE
2008
IEEE
14 years 9 months ago
2008
IEEE
The application of frequent patterns in classification has demonstrated its power in recent studies. It often adopts a two-step approach: frequent pattern (or classification rule) ...
EMNLP
2010
13 years 5 months ago
2010
The problem of automatically classifying the gender of a blog author has important applications in many commercial domains. Existing systems mainly use features such as words, wor...