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» Fast algorithms for time series mining
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113
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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 25 days 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
147
Voted
JIIS
2007
150views more  JIIS 2007»
14 years 12 months ago
Towards a new approach for mining frequent itemsets on data stream
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...
ADBIS
2001
Springer
115views Database» more  ADBIS 2001»
15 years 5 months ago
Interactive Constraint-Based Sequential Pattern Mining
Data mining is an interactive and iterative process. It is very likely that a user will execute a series of similar queries differing in pattern constraints and mining parameters,...
Marek Wojciechowski
123
Voted
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
16 years 25 days ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
IDEAL
2004
Springer
15 years 5 months ago
PRICES: An Efficient Algorithm for Mining Association Rules
In this paper, we present PRICES, an efficient algorithm for mining association rules, which first identifies all large itemsets and then generates association rules. Our approach ...
Chuan Wang, Christos Tjortjis