99 search results - page 6 / 20 » Discovering Multi-head Attributional Rules in Large Database... |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
SBACPAD
2003
IEEE
14 years 21 days ago
2003
IEEE
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
SAC
2011
ACM
12 years 10 months ago
2011
ACM
Mining sequential rules from large databases is an important topic in data mining fields with wide applications. Most of the relevant studies focused on finding sequential rules a...
SIGMOD
2004
ACM
14 years 7 months ago
2004
ACM
Microarray datasets typically contain large number of columns but small number of rows. Association rules have been proved to be useful in analyzing such datasets. However, most e...