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» Discovering Informative Patterns and Data Cleaning
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SSD
2001
Springer
218views Database» more  SSD 2001»
13 years 12 months ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos
IJOSSP
2010
128views more  IJOSSP 2010»
13 years 2 months ago
Repositories with Public Data about Software Development
Empirical research on software development based on data obtained from project repositories and code forges is increasingly gaining attention in the software engineering research ...
Jesús M. González-Barahona, Daniel I...
SIGMOD
2006
ACM
137views Database» more  SIGMOD 2006»
14 years 7 months ago
Optimal multi-scale patterns in time series streams
We introduce a method to discover optimal local patterns, which concisely describe the main trends in a time series. Our approach examines the time series at multiple time scales ...
Spiros Papadimitriou, Philip S. Yu
ICDM
2007
IEEE
186views Data Mining» more  ICDM 2007»
14 years 1 months ago
Mining Interpretable Human Strategies: A Case Study
This paper focuses on mining human strategies by observing their actions. Our application domain is an HCI study aimed at discovering general strategies used by software users and...
Xiaoli Z. Fern, Chaitanya Komireddy, Margaret M. B...
IDA
2007
Springer
13 years 7 months ago
Removing biases in unsupervised learning of sequential patterns
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
Yoav Horman, Gal A. Kaminka