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An overview on subgroup discovery: foundations and applications
Subgroup discovery is a data mining technique which extracts interesting rules with respect
to a target variable. An important characteristic of this task is the combination of predictive …
to a target variable. An important characteristic of this task is the combination of predictive …
[كتاب][B] Introduction to statistical relational learning
Advanced statistical modeling and knowledge representation techniques for a newly
emerging area of machine learning and probabilistic reasoning; includes introductory …
emerging area of machine learning and probabilistic reasoning; includes introductory …
[PDF][PDF] Supervised descriptive rule discovery: A unifying survey of contrast set, emerging pattern and subgroup mining.
This paper gives a survey of contrast set mining (CSM), emerging pattern mining (EPM), and
subgroup discovery (SD) in a unifying framework named supervised descriptive rule …
subgroup discovery (SD) in a unifying framework named supervised descriptive rule …
[كتاب][B] Intelligent data analysis: an introduction
MR Berthold, DJ Hand - 2007 - books.google.com
This monograph is a detailed introductory presentation of the key classes of intelligent data
analysis methods. The twelve coherently written chapters by leading experts provide …
analysis methods. The twelve coherently written chapters by leading experts provide …
[كتاب][B] Relational data mining
S Džeroski - 2010 - Springer
Data Mining algorithms look for patterns in data. While most existing Data Mining
approaches look for patterns in a single data table, relational Data Mining (RDM) …
approaches look for patterns in a single data table, relational Data Mining (RDM) …
Subgroup discovery with CN2-SD
This paper investigates how to adapt standard classification rule learning approaches to
subgroup discovery. The goal of subgroup discovery is to find rules describing subsets of the …
subgroup discovery. The goal of subgroup discovery is to find rules describing subsets of the …
Multi-relational data mining: an introduction
Data mining algorithms look for patterns in data. While most existing data mining
approaches look for patterns in a single data table, multi-relational data mining (MRDM) …
approaches look for patterns in a single data table, multi-relational data mining (MRDM) …
Expert-guided subgroup discovery: Methodology and application
This paper presents an approach to expert-guided subgroup discovery. The main step of the
subgroup discovery process, the induction of subgroup descriptions, is performed by a …
subgroup discovery process, the induction of subgroup descriptions, is performed by a …
APRIORI-SD: Adapting association rule learning to subgroup discovery
This paper presents a subgroup discovery algorithm APRIORI-SD, developed by adapting
association rule learning to subgroup discovery. The paper contributes to subgroup …
association rule learning to subgroup discovery. The paper contributes to subgroup …
Finding association rules that trade support optimally against confidence
When evaluating association rules, rules that differ in both support and confidence have to
compared; a larger support has to be traded against a higher confidence. The solution which …
compared; a larger support has to be traded against a higher confidence. The solution which …