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CORR
2004
Springer
146views Education» more  CORR 2004»
15 years 1 months ago
Mining Frequent Itemsets from Secondary Memory
Mining frequent itemsets is at the core of mining association rules, and is by now quite well understood algorithmically for main memory databases. In this paper, we investigate a...
Gösta Grahne, Jianfei Zhu
SIGMOD
2005
ACM
161views Database» more  SIGMOD 2005»
16 years 1 months ago
Mining Top-k Covering Rule Groups for Gene Expression Data
In this paper, we propose a novel algorithm to discover the topk covering rule groups for each row of gene expression profiles. Several experiments on real bioinformatics datasets...
Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Xin Xu
ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
15 years 7 months ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov
IIS
2001
15 years 2 months ago
Discovering Multi-head Attributional Rules in Large Databases
: A method for discovering multi-head attributional rules in large databases is presented and illustrated by results from an implemented program. Attributional rules (a.k.a. attrib...
Jerzy Clowinski, Ryszard S. Michalski
MOBIDE
2010
ACM
15 years 1 months ago
Using data mining to handle missing data in multi-hop sensor network applications
A sensor's data loss or corruption, aka sensor data missing, is a common phenomenon in modern wireless sensor networks. It is more severe for multi-hop sensor network (MSN) a...
Le Gruenwald, Hanqing Yang, Md. Shiblee Sadik, Rah...