Sciweavers

59 search results - page 4 / 12
» delta-Tolerance Closed Frequent Itemsets
Sort
View
KDD
2012
ACM
202views Data Mining» more  KDD 2012»
11 years 8 months ago
UFIMT: an uncertain frequent itemset mining toolbox
In recent years, mining frequent itemsets over uncertain data has attracted much attention in the data mining community. Unlike the corresponding problem in deterministic data, th...
Yongxin Tong, Lei Chen 0002, Philip S. Yu
AAAI
2006
13 years 7 months ago
Minimum Description Length Principle: Generators Are Preferable to Closed Patterns
The generators and the unique closed pattern of an equivalence class of itemsets share a common set of transactions. The generators are the minimal ones among the equivalent items...
Jinyan Li, Haiquan Li, Limsoon Wong, Jian Pei, Guo...
JIIS
2010
106views more  JIIS 2010»
13 years 16 days ago
A new classification of datasets for frequent itemsets
The discovery of frequent patterns is a famous problem in data mining. While plenty of algorithms have been proposed during the last decade, only a few contributions have tried to ...
Frédéric Flouvat, Fabien De Marchi, ...
PKDD
2007
Springer
147views Data Mining» more  PKDD 2007»
13 years 12 months ago
MINI: Mining Informative Non-redundant Itemsets
Frequent itemset mining assists the data mining practitioner in searching for strongly associated items (and transactions) in large transaction databases. Since the number of frequ...
Arianna Gallo, Tijl De Bie, Nello Cristianini
KDD
2000
ACM
118views Data Mining» more  KDD 2000»
13 years 9 months ago
Generating non-redundant association rules
The traditional association rule mining framework produces many redundant rules. The extent of redundancy is a lot larger than previously suspected. We present a new framework for...
Mohammed Javeed Zaki