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ICDM
2005
IEEE
189views Data Mining» more  ICDM 2005»
14 years 29 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
KDD
2003
ACM
156views Data Mining» more  KDD 2003»
14 years 7 months ago
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Defining outliers by their distance to neighboring examples is a popular approach to finding unusual examples in a data set. Recently, much work has been conducted with the goal o...
Stephen D. Bay, Mark Schwabacher
EUSFLAT
2007
105views Fuzzy Logic» more  EUSFLAT 2007»
13 years 8 months ago
SPoID: Do Not Throw Meaningful Incomplete Sequences Away!
Industrial databases often contain a large amount of unfilled information. During the knowledge discovery process one processing step is often necessary in order to remove these ...
Céline Fiot, Anne Laurent, Maguelonne Teiss...
WEBI
2005
Springer
14 years 25 days ago
Real-Time Learning Behavior Mining for e-Learning
Over the last years, we have witnessed an explosive growth of e-learning. More and more learning contents have been published and shared over the Internet. Therefore, how to progr...
Yen-Hung Kuo, Juei-Nan Chen, Yu-Lin Jeng, Yueh-Min...
DMIN
2006
239views Data Mining» more  DMIN 2006»
13 years 8 months ago
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...
Jo Ting, Tak-Chung Fu, Fu-Lai Chung