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KDD
2005
ACM
147views Data Mining» more  KDD 2005»
14 years 3 months ago
Combining proactive and reactive predictions for data streams
Mining data streams is important in both science and commerce. Two major challenges are (1) the data may grow without limit so that it is difficult to retain a long history; and (...
Ying Yang, Xindong Wu, Xingquan Zhu
KDD
2009
ACM
221views Data Mining» more  KDD 2009»
14 years 10 months ago
Migration motif: a spatial - temporal pattern mining approach for financial markets
A recent study by two prominent finance researchers, Fama and French, introduces a new framework for studying risk vs. return: the migration of stocks across size-value portfolio ...
Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee,...
SDM
2012
SIAM
208views Data Mining» more  SDM 2012»
12 years 5 hour ago
Mining Massive Archives of Mice Sounds with Symbolized Representations
Many animals produce long sequences of vocalizations best described as “songs.” In some animals, such as crickets and frogs, these songs are relatively simple and repetitive c...
Jesin Zakaria, Sarah Rotschafer, Abdullah Mueen, K...
ICTAI
2006
IEEE
14 years 3 months ago
Sequence Mining Without Sequences: A New Way for Privacy Preserving
During the last decade, sequential pattern mining has been the core of numerous researches. It is now possible to efficiently discover users’ behavior in various domains such a...
Stéphanie Jacquemont, François Jacqu...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 10 months ago
Visualized Classification of Multiple Sample Types
The goal of the knowledge discovery and data mining is to extract the useful knowledge from the given data. Visualization enables us to find structures, features, patterns, and re...
Li Zhang, Aidong Zhang, Murali Ramanathan