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» Mining asynchronous periodic patterns in time series data
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SIGMOD
2007
ACM
195views Database» more  SIGMOD 2007»
15 years 9 months ago
Effective variation management for pseudo periodical streams
Many database applications require the analysis and processing of data streams. In such systems, huge amounts of data arrive rapidly and their values change over time. The variati...
Lv-an Tang, Bin Cui, Hongyan Li, Gaoshan Miao, Don...
KDD
2002
ACM
171views Data Mining» more  KDD 2002»
15 years 9 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
KDD
2007
ACM
176views Data Mining» more  KDD 2007»
15 years 9 months ago
Mining correlated bursty topic patterns from coordinated text streams
Previous work on text mining has almost exclusively focused on a single stream. However, we often have available multiple text streams indexed by the same set of time points (call...
Xuanhui Wang, ChengXiang Zhai, Xiao Hu, Richard Sp...
ADVIS
2004
Springer
15 years 2 months ago
Incremental Association Rule Mining Using Materialized Data Mining Views
Data mining is an interactive and iterative process. Users issue series of similar queries until they receive satisfying results, yet currently available data mining systems do not...
Mikolaj Morzy, Tadeusz Morzy, Zbyszko Króli...
ICC
2009
IEEE
132views Communications» more  ICC 2009»
15 years 4 months ago
Preprocessing DNS Log Data for Effective Data Mining
—The Domain Name Service (DNS) provides a critical function in directing Internet traffic. Defending DNS servers from bandwidth attacks is assisted by the ability to effectively...
Mark E. Snyder, Ravi Sundaram, Mayur Thakur