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» Mining evolving data streams for frequent patterns
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ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
15 years 2 months ago
Association Analysis with One Scan of Databases
Mining frequent patterns with an FP-tree avoids costly candidate generation and repeatedly occurrence frequency checking against the support threshold. It therefore achieves bette...
Hao Huang, Xindong Wu, Richard Relue
PKDD
1998
Springer
273views Data Mining» more  PKDD 1998»
15 years 1 months ago
TextVis: An Integrated Visual Environment for Text Mining
TextVis is a visual data mining system for document collections. Such a collection represents an application domain, and the primary goal of the system is to derive patterns that p...
David Landau, Ronen Feldman, Yonatan Aumann, Moshe...
DKE
2007
153views more  DKE 2007»
14 years 9 months ago
Adaptive similarity search in streaming time series with sliding windows
The challenge in a database of evolving time series is to provide efficient algorithms and access methods for query processing, taking into consideration the fact that the databas...
Maria Kontaki, Apostolos N. Papadopoulos, Yannis M...
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
13 years 5 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
POPL
2002
ACM
15 years 10 months ago
Mining specifications
Program verification is a promising approach to improving program quality, because it can search all possible program executions for specific errors. However, the need to formally...
Glenn Ammons, James R. Larus, Rastislav Bodí...