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Allison Chang

dblp:116/5094 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none

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

Artificial intelligence and machine learning · 2 · 2 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 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › predictive modeling › classification › rule learning
associative classification		 0.112012
An Integer Optimization Approach to Associative Classification · NIPS 2012

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

integer optimization · 0.1
YearPublicationVenuePosition
2012 An Integer Optimization Approach to Associative Classification
Allison Chang, Dimitris Bertsimas, Cynthia Rudin
 NIPS1
2012 How to reverse-engineer quality rankings
Allison Chang, Cynthia Rudin, Michael Cavaretta, Gloria Chou
 Mach. Learn.1