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Douglas A. Newlands

dblp:80/5441 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 2 · 1 first-authorDatabases, data management, data science and information retrieval · 2 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data mining · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › pattern mining
association rule mining		 0.012003
On detecting differences between groups · KDD 2003
Data mining › pattern mining › subgroup discovery
contrast set mining		 0.012003
On detecting differences between groups · KDD 2003
Data mining › pattern mining
rule mining		 0.012003
On detecting differences between groups · KDD 2003

Methods — techniques the papers use, named apart from their topics

rule discovery · 0.0contrast-set mining · 0.0
YearPublicationVenuePosition
2003 On detecting differences between groups
abstract
Understanding the differences between contrasting groups is a fundamental task in data analysis. This realization has led to the development of a new special purpose data mining technique, contrast-set mining. We undertook a study with a retail collaborator to compare contrast-set mining with existing rule-discovery techniques. To our surprise we ob-served that straightforward application of an existing com-mercial rule-discovery system, Magnum Opus, could suc-cessfully perform the contrast-set-mining task. This led to the realization that contrast-set mining is a special case of the more general rule-discovery task. We present the results of our study together with a proof of this conclusion. Categories and Subject Descriptors
Geoffrey I. Webb, Shane M. Butler, Douglas A. Newlands
 KDD3
1999 Convex Hulls in Concept Induction
Douglas A. Newlands, Geoffrey I. Webb
 PAKDD1
1995 Polygonal Inductive Generalisation System
Douglas A. Newlands, Geoffrey I. Webb
 IEA/AIE1