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KDD
2012
ACM
205views Data Mining» more  KDD 2012»
13 years 9 months ago
Searching and mining trillions of time series subsequences under dynamic time warping
Most time series data mining algorithms use similarity search as a core subroutine, and thus the time taken for similarity search is the bottleneck for virtually all time series d...
Thanawin Rakthanmanon, Bilson J. L. Campana, Abdul...
193
Voted
IWPC
2005
IEEE
16 years 12 days ago
A Qualitative Comparison of Three Aspect Mining Techniques
The fact that crosscutting concerns (aspects) cannot be well modularized in object oriented software is an impediment to program comprehension: the implementation of a concern is ...
Mariano Ceccato, Marius Marin, Kim Mens, Leon Moon...
CIKM
2004
Springer
16 years 6 days ago
Discovering frequently changing structures from historical structural deltas of unordered XML
Recently, a large amount of work has been done in XML data mining. However, we observed that most of the existing works focus on the snapshot XML data, while XML data is dynamic i...
Qiankun Zhao, Sourav S. Bhowmick, Mukesh K. Mohani...
ICDM
2003
IEEE
125views Data Mining» more  ICDM 2003»
16 years 3 days ago
Improving Home Automation by Discovering Regularly Occurring Device Usage Patterns
The data stream captured by recording inhabitantdevice interactions in an environment can be mined to discover significant patterns, which an intelligent agent could use to automa...
Edwin O. Heierman III, Diane J. Cook
ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
16 years 12 days ago
Integrating Hidden Markov Models and Spectral Analysis for Sensory Time Series Clustering
We present a novel approach for clustering sequences of multi-dimensional trajectory data obtained from a sensor network. The sensory time-series data present new challenges to da...
Jie Yin, Qiang Yang