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» Mining Frequent Itemsets Using Genetic Algorithm
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PAKDD
2005
ACM
132views Data Mining» more  PAKDD 2005»
15 years 3 months ago
On Multiple Query Optimization in Data Mining
Traditional multiple query optimization methods focus on identifying common subexpressions in sets of relational queries and on constructing their global execution plans. In this p...
Marek Wojciechowski, Maciej Zakrzewicz
KDD
2001
ACM
216views Data Mining» more  KDD 2001»
15 years 10 months ago
Real world performance of association rule algorithms
This study compares five well-known association rule algorithms using three real-world datasets and an artificial dataset. The experimental results confirm the performance improve...
Zijian Zheng, Ron Kohavi, Llew Mason
AAAI
2006
14 years 11 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...
CIB
2004
57views more  CIB 2004»
14 years 9 months ago
Identifying Global Exceptional Patterns in Multi-database Mining
In multi-database mining, there can be many local patterns (frequent itemsets or association rules) in each database. At the end of multi-database mining, it is necessary to analyz...
Chengqi Zhang, Meiling Liu, Wenlong Nie, Shichao Z...
ICDE
2007
IEEE
172views Database» more  ICDE 2007»
15 years 4 months ago
A New Data Cube for Integrating Data Mining and OLAP
Recently there is much need of discovering useful knowledge from massive log-data which are generated by Webbased information systems. Such log-data have multiple attributes about...
Tadashi Ohmori, Masahide Naruse, Mamoru Hoshi