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» Mining high-speed data streams
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KDD
2009
ACM
187views Data Mining» more  KDD 2009»
16 years 2 months ago
New ensemble methods for evolving data streams
Advanced analysis of data streams is quickly becoming a key area of data mining research as the number of applications demanding such processing increases. Online mining when such...
Albert Bifet, Bernhard Pfahringer, Geoffrey Holmes...
150
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WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
13 years 9 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
ICDM
2008
IEEE
137views Data Mining» more  ICDM 2008»
15 years 8 months ago
Stream Sequential Pattern Mining with Precise Error Bounds
Sequential pattern mining is an interesting data mining problem with many real-world applications. This problem has been studied extensively in static databases. However, in recen...
Luiz F. Mendes, Bolin Ding, Jiawei Han
AUSDM
2007
Springer
145views Data Mining» more  AUSDM 2007»
15 years 8 months ago
Discovering Frequent Sets from Data Streams with CPU Constraint
Data streams are usually generated in an online fashion characterized by huge volume, rapid unpredictable rates, and fast changing data characteristics. It has been hence recogniz...
Xuan Hong Dang, Wee Keong Ng, Kok-Leong Ong, Vince...
ASIACRYPT
2006
Springer
15 years 5 months ago
On the (In)security of Stream Ciphers Based on Arrays and Modular Addition
Abstract. Stream ciphers play an important role in symmetric cryptology because of their suitability in high speed applications where block ciphers fall short. A large number of fa...
Souradyuti Paul, Bart Preneel