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» Mining evolving data streams for frequent patterns
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DEXA
2006
Springer
102views Database» more  DEXA 2006»
15 years 1 months ago
Mining RDF Metadata for Generalized Association Rules
In this paper, we present a novel frequent generalized pattern mining algorithm, called GP-Close, for mining generalized associations from RDF metadata. To solve the overgeneraliz...
Tao Jiang, Ah-Hwee Tan
DKE
2006
125views more  DKE 2006»
14 years 9 months ago
Online clustering of parallel data streams
In recent years, the management and processing of so-called data streams has become a topic of active research in several fields of computer science such as, e.g., distributed sys...
Jürgen Beringer, Eyke Hüllermeier
PODS
2006
ACM
217views Database» more  PODS 2006»
15 years 10 months ago
A simpler and more efficient deterministic scheme for finding frequent items over sliding windows
In this paper, we give a simple scheme for identifying approximate frequent items over a sliding window of size n. Our scheme is deterministic and does not make any assumption on ...
Lap-Kei Lee, H. F. Ting
COMAD
2009
14 years 11 months ago
Categorizing Concepts for Detecting Drifts in Stream
Mining evolving data streams for concept drifts has gained importance in applications like customer behavior analysis, network intrusion detection, credit card fraud detection. Se...
Sharanjit Kaur, Vasudha Bhatnagar, Sameep Mehta, S...
KDD
2005
ACM
92views Data Mining» more  KDD 2005»
15 years 10 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin