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KDD
2007
ACM
168views Data Mining» more  KDD 2007»
16 years 6 months ago
Detecting time series motifs under uniform scaling
Time series motifs are approximately repeated patterns found within the data. Such motifs have utility for many data mining algorithms, including rule-discovery, novelty-detection...
Dragomir Yankov, Eamonn J. Keogh, Jose Medina, Bil...
ICDM
2008
IEEE
99views Data Mining» more  ICDM 2008»
16 years 17 days ago
Kernels for the Investigation of Localized Spatiotemporal Transitions of Drought with Support Vector Machines
We present and discuss several spatiotemporal kernels designed to mine real-life and simulated data in support of drought prediction. We implement and empirically validate these k...
Matthew W. Collier, Amy McGovern
133
Voted
COR
2004
115views more  COR 2004»
15 years 6 months ago
Evaluation of decision trees: a multi-criteria approach
Data mining (DM) techniques are being increasingly used in many modern organizations to retrieve valuable knowledge structures from organizational databases, including data wareho...
Kweku-Muata Osei-Bryson
PAKDD
2007
ACM
121views Data Mining» more  PAKDD 2007»
16 years 7 days ago
Two-Phase Algorithms for a Novel Utility-Frequent Mining Model
When companies seek for the combination of products which can constantly generate high profit, the association rule mining (ARM) or the utility mining will not achieve such task. ...
Jieh-Shan Yeh, Yu-Chiang Li, Chin-Chen Chang
KDD
2007
ACM
137views Data Mining» more  KDD 2007»
16 years 6 months ago
Characterising the difference
Characterising the differences between two databases is an often occurring problem in Data Mining. Detection of change over time is a prime example, comparing databases from two b...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes