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» Statistical Supports for Frequent Itemsets on Data Streams
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KDD
2006
ACM
134views Data Mining» more  KDD 2006»
16 years 2 days ago
Identifying bridging rules between conceptual clusters
1 A bridging rule in this paper has its antecedent and action from different conceptual clusters. We first design two algorithms for mining bridging rules between clusters in a dat...
Shichao Zhang, Feng Chen, Xindong Wu, Chengqi Zhan...
101
Voted
PAKDD
2007
ACM
144views Data Mining» more  PAKDD 2007»
15 years 5 months ago
Approximately Mining Recently Representative Patterns on Data Streams
Catching the recent trend of data is an important issue when mining frequent itemsets from data streams. To prevent from storing the whole transaction data within the sliding windo...
Jia-Ling Koh, Yuan-Bin Don
VLDB
2002
ACM
106views Database» more  VLDB 2002»
14 years 11 months ago
Approximate Frequency Counts over Data Streams
We present algorithms for computing frequency counts exceeding a user-specified threshold over data streams. Our algorithms are simple and have provably small memory footprints. A...
Gurmeet Singh Manku, Rajeev Motwani
103
Voted
PKDD
2005
Springer
129views Data Mining» more  PKDD 2005»
15 years 5 months ago
Interestingness is Not a Dichotomy: Introducing Softness in Constrained Pattern Mining
Abstract. The paradigm of pattern discovery based on constraints was introduced with the aim of providing to the user a tool to drive the discovery process towards potentially inte...
Stefano Bistarelli, Francesco Bonchi
100
Voted
SDM
2004
SIAM
207views Data Mining» more  SDM 2004»
15 years 1 months ago
BAMBOO: Accelerating Closed Itemset Mining by Deeply Pushing the Length-Decreasing Support Constraint
Previous study has shown that mining frequent patterns with length-decreasing support constraint is very helpful in removing some uninteresting patterns based on the observation t...
Jianyong Wang, George Karypis