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KDD
2004
ACM
168views Data Mining» more  KDD 2004»
14 years 10 months ago
Mining, indexing, and querying historical spatiotemporal data
In many applications that track and analyze spatiotemporal data, movements obey periodic patterns; the objects follow the same routes (approximately) over regular time intervals. ...
Nikos Mamoulis, Huiping Cao, George Kollios, Mario...
PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
14 years 2 months ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals
AIIA
2007
Springer
14 years 4 months ago
Discovering Relational Emerging Patterns
The discovery of emerging patterns (EPs) is a descriptive data mining task defined for pre-classified data. It aims at detecting patterns which contrast two classes and has been ...
Annalisa Appice, Michelangelo Ceci, Carlo Malgieri...
TSDM
2000
151views Data Mining» more  TSDM 2000»
14 years 1 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
ICDM
2008
IEEE
175views Data Mining» more  ICDM 2008»
14 years 4 months ago
Overlapping Matrix Pattern Visualization: A Hypergraph Approach
In this work, we study a visual data mining problem: Given a set of discovered overlapping submatrices of interest, how can we order the rows and columns of the data matrix to bes...
Ruoming Jin, Yang Xiang, David Fuhry, Feodor F. Dr...