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IDA
2007
Springer
15 years 2 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
VLDB
2002
ACM
114views Database» more  VLDB 2002»
15 years 1 months ago
Tree Pattern Aggregation for Scalable XML Data Dissemination
With the rapid growth of XML-document traffic on the Internet, scalable content-based dissemination of XML documents to a large, dynamic group of consumers has become an important...
Chee Yong Chan, Wenfei Fan, Pascal Felber, Minos N...
EMSOFT
2010
Springer
15 years 6 days ago
Initiating a design pattern catalog for embedded network systems
In the domain of desktop software, design patterns have had a profound impact; they are applied ubiquitously across a broad range of applications. Patterns serve both to promulgat...
Sally K. Wahba, Jason O. Hallstrom, Neelam Soundar...
ICDE
2007
IEEE
183views Database» more  ICDE 2007»
16 years 3 months ago
SpADe: On Shape-based Pattern Detection in Streaming Time Series
Monitoring predefined patterns in streaming time series is useful to applications such as trend-related analysis, sensor networks and video surveillance. Most current studies on s...
Yueguo Chen, Mario A. Nascimento, Beng Chin Ooi, A...
KDD
2008
ACM
195views Data Mining» more  KDD 2008»
16 years 2 months ago
Anomaly pattern detection in categorical datasets
We propose a new method for detecting patterns of anomalies in categorical datasets. We assume that anomalies are generated by some underlying process which affects only a particu...
Kaustav Das, Jeff G. Schneider, Daniel B. Neill