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TSDM
2000
151views Data Mining» more  TSDM 2000»
13 years 8 months ago
Identifying Temporal Patterns for Characterization and Prediction of Financial Time Series Events
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
Richard J. Povinelli
MICAI
2004
Springer
13 years 10 months ago
Extracting Temporal Patterns from Time Series Data Bases for Prediction of Electrical Demand
In this paper we present a technique for prediction of electrical demand based on multiple models. The multiple models are composed by several local models, each one describing a r...
J. Jesus Rico Melgoza, Juan J. Flores, Constantino...
IV
2008
IEEE
90views Visualization» more  IV 2008»
13 years 11 months ago
Identifying Event Impacts by Monitoring the News Media
Assessing the potential property and social impacts of an event, such as tornado or wild fire, continues to be a challenging research area. From financial markets to disaster mana...
Robert M. Patton, Thomas E. Potok
KDD
2007
ACM
154views Data Mining» more  KDD 2007»
14 years 4 months ago
An event-based framework for characterizing the evolutionary behavior of interaction graphs
Interaction graphs are ubiquitous in many fields such as bioinformatics, sociology and physical sciences. There have been many studies in the literature targeted at studying and m...
Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
13 years 9 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma