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John M. Aronis

dblp:64/6507 · DBLP profile ↗
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9ranked-venue papers
5as first author
0since 2021 · last 2017
0000-0001-5821-3672ORCID · corroborated

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

Artificial intelligence and machine learning · 5 · 2 first-authorApplied, interdisciplinary, general and emerging computing · 4 · 3 first-authorDatabases, data management, data science and information retrieval · 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
2 papers
Data mining · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › pattern mining
association rule mining
0.011997
Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation · KDD 1997
Data mining
background knowledge
0.011996
Exploiting Background Knowledge in Automated Discovery · KDD 1996
YearPublicationVenuePosition
2017 A Bayesian system to detect and characterize overlapping outbreaks
John M. Aronis, Nicholas Millett, Michael M. Wagner 0001, Fu-Chiang Tsui, Ye Ye 0002, Jeffrey P. Ferraro, Peter J. Haug, Per H. Gesteland, Gregory F. Cooper
J. Biomed. Informatics1
2005 Predicting dire outcomes of patients with community acquired pneumonia
Gregory F. Cooper, Vijoy Abraham, Constantin F. Aliferis, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Janine E. Janosky, Gary Livingston, Tom M. Mitchell
J. Biomed. Informatics4
2000 A Retrospective Study of the Effect of a Prognostic Model on the Hospital Admission Decision for Patients with Low Risk Community-acquired Pneumonia
John M. Aronis, Gregory F. Cooper, Michael J. Fine
AMIA1
1999 Identifying patient subgroups with simple Bayes'
John M. Aronis, Gregory F. Cooper, Mehmet Kayaalp 0002, Bruce G. Buchanan
AMIA1
1998 Knowledge-Based Learning in Exploratory Science: Learning Rules to Predict Rodent Carcinogenicity
Yongwon Lee, Bruce G. Buchanan, John M. Aronis
Mach. Learn.3
1997 Increasing the Efficiency of Data Mining Algorithms with Breadth-First Marker Propagation
John M. Aronis, Foster J. Provost
KDD1
1997 An evaluation of machine-learning methods for predicting pneumonia mortality
Gregory F. Cooper, Constantin F. Aliferis, Richard Ambrosino, John M. Aronis, Bruce G. Buchanan, Rich Caruana, Michael J. Fine, Clark Glymour, Geoffrey J. Gordon, Barbara H. Hanusa, Janine E. Janosky, Christopher Meek, Tom M. Mitchell, Thomas Richardson 0001, Peter Spirtes
Artif. Intell. Medicine4
1996 Exploiting Background Knowledge in Automated Discovery
John M. Aronis, Foster J. Provost, Bruce G. Buchanan
KDD1
1996 Scaling Up Inductive Learning with Massive Parallelism
Foster J. Provost, John M. Aronis
Mach. Learn.2