D
Dan Steinberg
Researcher at University of Salford
Publications - 28
Citations - 6011
Dan Steinberg is an academic researcher from University of Salford. The author has contributed to research in topics: Tree (data structure) & Incremental decision tree. The author has an hindex of 17, co-authored 27 publications receiving 5236 citations. Previous affiliations of Dan Steinberg include San Diego State University & Monash University.
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Top 10 algorithms in data mining
Xindong Wu,Vipin Kumar,J. Ross Quinlan,Joydeep Ghosh,Qiang Yang,Hiroshi Motoda,Geoffrey J. McLachlan,Angus S. K. Ng,Bing Liu,Philip S. Yu,Zhi-Hua Zhou,Michael Steinbach,David J. Hand,Dan Steinberg +13 more
TL;DR: This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART.
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Modeling Methods for Discrete Choice Analysis
Moshe Ben-Akiva,Daniel McFadden,Makoto Abe,Ulf Böckenholt,Denis Bolduc,Dinesh Gopinath,Takayuki Morikawa,Venkatram Ramaswamy,Vithala R. Rao,David Revelt,Dan Steinberg +10 more
TL;DR: In this article, the authors introduce new forms, sampling and estimation approaches for discrete choice models, including behavioral specifications of Latent Class Choice Models, multinomial probit, hybrid logit, and non-parametric methods.
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Predictive analytics with gradient boosting in clinical medicine
TL;DR: This paper aims to introduce how gradient boosting works and shows that gradient boosting can better capture these complex relationships than a generalized linear model-based approach.