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» An Iterative Method for Mining Frequent Temporal Patterns
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EDBT
2009
ACM
170views Database» more  EDBT 2009»
14 years 16 days ago
Efficient constraint evaluation in categorical sequential pattern mining for trajectory databases
The classic Generalized Sequential Patterns (GSP) algorithm returns all frequent sequences present in a database. However, usually a few ones are interesting from a user's po...
Leticia I. Gómez, Alejandro A. Vaisman
PAKDD
2009
ACM
87views Data Mining» more  PAKDD 2009»
14 years 3 months ago
Application-Independent Feature Construction from Noisy Samples
When training classifiers, presence of noise can severely harm their performance. In this paper, we focus on “non-class” attribute noise and we consider how a frequent fault-t...
Dominique Gay, Nazha Selmaoui, Jean-Françoi...
JUCS
2006
121views more  JUCS 2006»
13 years 8 months ago
On-line Monitoring of Metric Temporal Logic with Time-Series Constraints Using Alternating Finite Automata
: In this paper we describe a technique for monitoring and checking temporal logic assertions augmented with real-time and time-series constraints, or Metric Temporal Logic Series ...
Doron Drusinsky
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Temporal Pattern Matching for the Prediction of Stock Prices
Time series data poses a significant variation to the traditional segmentation techniques of data mining because the observation is derived from multiple instances of the same und...
Richi Nayak, Paul te Braak
INCDM
2010
Springer
193views Data Mining» more  INCDM 2010»
14 years 19 days ago
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database
This paper reports on a mechanism to identify temporal spatial trends in social networks. The trends of interest are defined in terms of the occurrence frequency of time stamped p...
Puteri N. E. Nohuddin, Rob Christley, Frans Coenen...