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» Online Data Mining for Co-Evolving Time Sequences
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ICPR
2006
IEEE
14 years 8 months ago
Affine Invariant Dynamic Time Warping and its Application to Online Rotated Handwriting Recognition
Dynamic Time Warping (DTW) has been widely used to align and compare two sequences. DTW can efficiently deal with local warp or deformation between sequences. However, it can'...
Yu Qiao, Makoto Yasuhara
ASC
2008
13 years 7 months ago
Info-fuzzy algorithms for mining dynamic data streams
Most data mining algorithms assume static behavior of the incoming data. In the real world, the situation is different and most continuously collected data streams are generated by...
Lior Cohen, Gil Avrahami, Mark Last, Abraham Kande...
IJAR
2011
118views more  IJAR 2011»
12 years 10 months ago
A sequential pattern mining algorithm using rough set theory
Sequential pattern mining is a crucial but challenging task in many applications, e.g., analyzing the behaviors of data in transactions and discovering frequent patterns in time se...
Ken Kaneiwa, Yasuo Kudo
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
13 years 11 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...
BIBM
2007
IEEE
133views Bioinformatics» more  BIBM 2007»
13 years 7 months ago
Mining Clinical Data with a Temporal Dimension: A Case Study
Clinical databases store large amounts of information about patients and their medical conditions. Data mining techniques can extract relationships and patterns holding in this we...
Michele Berlingerio, Francesco Bonchi, Fosca Giann...