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» Marking Time in Sequence Mining
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KDD
2004
ACM
144views Data Mining» more  KDD 2004»
14 years 7 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
DATAMINE
2006
176views more  DATAMINE 2006»
13 years 7 months ago
A Bit Level Representation for Time Series Data Mining with Shape Based Similarity
Clipping is the process of transforming a real valued series into a sequence of bits representing whether each data is above or below the average. In this paper, we argue that clip...
Anthony J. Bagnall, Chotirat (Ann) Ratanamahatana,...
ICDM
2009
IEEE
259views Data Mining» more  ICDM 2009»
13 years 5 months ago
Topic Modeling for Sequences of Temporal Activities
: Topic Modeling for Sequences of Temporal Activities Zhi-Yong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-Dong Shen HP Laboratories HPL-2010-160 topic modeling, LDA, sequence, temp...
Zhiyong Shen, Ping Luo, Yuhong Xiong, Jun Sun, Yi-...
SOCIALCOM
2010
13 years 5 months ago
Mining Human Location-Routines Using a Multi-Level Approach to Topic Modeling
In this work we address the problem of modeling varying time duration sequences for large-scale human routine discovery from cellphone sensor data using a multi-level approach to p...
Katayoun Farrahi, Daniel Gatica-Perez
SDM
2009
SIAM
170views Data Mining» more  SDM 2009»
14 years 4 months ago
Optimal Distance Bounds on Time-Series Data.
Most data mining operations include an integral search component at their core. For example, the performance of similarity search or classification based on Nearest Neighbors is ...
Michail Vlachos, Philip S. Yu, Suleyman S. Kozat