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» Statistical Supports for Frequent Itemsets on Data Streams
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KDD
2008
ACM
246views Data Mining» more  KDD 2008»
16 years 2 months ago
Direct mining of discriminative and essential frequent patterns via model-based search tree
Frequent patterns provide solutions to datasets that do not have well-structured feature vectors. However, frequent pattern mining is non-trivial since the number of unique patter...
Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Y...
PARMA
2004
191views Database» more  PARMA 2004»
15 years 3 months ago
Identifying Most Predictive Items
Abstract. Frequent itemsets and association rules are generally accepted concepts in analyzing item-based databases. The Apriori-framework was developed for analyzing categorical d...
Markus Wawryniuk, Daniel A. Keim
DATAMINE
1999
152views more  DATAMINE 1999»
15 years 1 months ago
Discovery of Frequent DATALOG Patterns
Discovery of frequent patterns has been studied in a variety of data mining settings. In its simplest form, known from association rule mining, the task is to discover all frequent...
Luc Dehaspe, Hannu Toivonen
KDID
2004
132views Database» more  KDID 2004»
15 years 3 months ago
An Automata Approach to Pattern Collections
Condensed representations of pattern collections have been recognized to be important building blocks of inductive databases, a promising theoretical framework for data mining, and...
Taneli Mielikäinen
STACS
2010
Springer
15 years 9 months ago
Continuous Monitoring of Distributed Data Streams over a Time-based Sliding Window
The past decade has witnessed many interesting algorithms for maintaining statistics over a data stream. This paper initiates a theoretical study of algorithms for monitoring distr...
Ho-Leung Chan, Tak Wah Lam, Lap-Kei Lee, Hing-Fung...