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ICDCS
2002
IEEE
15 years 11 months ago
A Fully Distributed Framework for Cost-Sensitive Data Mining
Data mining systems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach is to apply machine learning algorithms to ...
Wei Fan, Haixun Wang, Philip S. Yu, Salvatore J. S...
DASFAA
2007
IEEE
150views Database» more  DASFAA 2007»
16 years 11 days ago
TinTO: A Tool for the View-Based Analysis of Streams of Stock Market Data
TinTO is an experimental system aiming at demonstrating the usefulness and feasibility of applying conventional SQL queries for analyzing a wide spectrum of data streams. As applic...
Andreas Behrend, Christian Dorau, Rainer Manthey
WAIM
2004
Springer
15 years 11 months ago
Mining Web Sequential Patterns Incrementally with Revised PLWAP Tree
Since point and click at web pages generate continuous data stream, which flow into web log data, old patterns may be stale and need to be updated. Algorithms for mining web seque...
Christie I. Ezeife, Min Chen
DEBS
2008
ACM
15 years 7 months ago
Replica placement for high availability in distributed stream processing systems
A significant number of emerging on-line data analysis applications require the processing of data streams, large amounts of data that get updated continuously, to generate output...
Thomas Repantis, Vana Kalogeraki
169
Voted
KDD
2002
ACM
150views Data Mining» more  KDD 2002»
16 years 6 months ago
Querying multiple sets of discovered rules
Rule mining is an important data mining task that has been applied to numerous real-world applications. Often a rule mining system generates a large number of rules and only a sma...
Alexander Tuzhilin, Bing Liu