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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 …
Subgroup discovery
Subgroup discovery is a broadly applicable descriptive data mining technique for identifying
interesting subgroups according to some property of interest. This article summarizes …
interesting subgroups according to some property of interest. This article summarizes …
Exceptional Model Mining: Supervised descriptive local pattern mining with complex target concepts
Finding subsets of a dataset that somehow deviate from the norm, ie where something
interesting is going on, is a classical Data Mining task. In traditional local pattern mining …
interesting is going on, is a classical Data Mining task. In traditional local pattern mining …
Itemset mining: A constraint programming perspective
The field of data mining has become accustomed to specifying constraints on patterns of
interest. A large number of systems and techniques has been developed for solving such …
interest. A large number of systems and techniques has been developed for solving such …
Diverse subgroup set discovery
Large data is challenging for most existing discovery algorithms, for several reasons. First of
all, such data leads to enormous hypothesis spaces, making exhaustive search infeasible …
all, such data leads to enormous hypothesis spaces, making exhaustive search infeasible …
Description-oriented community detection using exhaustive subgroup discovery
Communities can intuitively be defined as subsets of nodes of a graph with a dense
structure in the corresponding subgraph. However, for mining such communities usually …
structure in the corresponding subgraph. However, for mining such communities usually …
Fast exhaustive subgroup discovery with numerical target concepts
Subgroup discovery is a key data mining method that aims at identifying descriptions of
subsets of the data that show an interesting distribution with respect to a pre-defined target …
subsets of the data that show an interesting distribution with respect to a pre-defined target …
Roadmap on data-centric materials science
Science is and always has been based on data, but the terms' data-centric'and the'4th
paradigm'of materials research indicate a radical change in how information is retrieved …
paradigm'of materials research indicate a radical change in how information is retrieved …
Direct local pattern sampling by efficient two-step random procedures
We present several exact and highly scalable local pattern sampling algorithms. They can
be used as an alternative to exhaustive local pattern discovery methods (eg, frequent set …
be used as an alternative to exhaustive local pattern discovery methods (eg, frequent set …
On subgroup discovery in numerical domains
Subgroup discovery is a Knowledge Discovery task that aims at finding subgroups of a
population with high generality and distributional unusualness. While several subgroup …
population with high generality and distributional unusualness. While several subgroup …