Michael Hahsler

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	Toate	Din 2018
Referințe bibliografice	6044	3721
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i10-index	70	40

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Matt PiekenbrockWright State University - Web and Complex System GroupAdresă de e-mail confirmată pe wright.edu
Bettina GrünWirtschaftsuniversität WienAdresă de e-mail confirmată pe wu.ac.at
Anurag NagarUniversity of Texas at DallasAdresă de e-mail confirmată pe utdallas.edu
Jake DrewPostdoctoral Fellow - Darwin Deason Institute for Cyber Security, SMUAdresă de e-mail confirmată pe mail.smu.edu
Eli OlinickSouthern Methodist UniversityAdresă de e-mail confirmată pe lyle.smu.edu
Tyler MooreTandy Professor of Cyber Security and Information Assurance, University of TulsaAdresă de e-mail confirmată pe utulsa.edu
Derek DoranDirector of Research, Tenet3; Associate Professor of Computer Science & Engineering, Wright StateAdresă de e-mail confirmată pe wright.edu
Stefan KochProfessor of Information Systems - Information Engineering, Johannes Kepler University LinzAdresă de e-mail confirmată pe jku.at
Lars Schmidt-ThiemeUniversity of Hildesheim, GermanyAdresă de e-mail confirmată pe ismll.uni-hildesheim.de
Monnie McGeeSouthern Methodist UniversityAdresă de e-mail confirmată pe smu.edu
Eric C. LarsonAssociate Professor, Computer Science, Southern Methodist UniversityAdresă de e-mail confirmată pe smu.edu
Tomáš KliegrVysoká škola ekonomická v PrazeAdresă de e-mail confirmată pe vse.cz
Hisham Al-MubaidUHCLAdresă de e-mail confirmată pe uhcl.edu
Edward BernroiderProfessor of Information Systems, Vienna University of Economics and Business (WU)Adresă de e-mail confirmată pe wu.ac.at

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Michael Hahsler

Southern Methodist University

Adresă de e-mail confirmată pe lyle.smu.edu - Pagina de pornire

Artificial Intelligence Machine Learning Data mining Combinatorial Optimization


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
A review of methods for measuring willingness-to-pay C Breidert, M Hahsler, T Reutterer Innovative Marketing 2 (4), 8-32, 2006	898	2006
A computational environment for mining association rules and frequent item sets M Hahsler, B Grün, K Hornik Journal of Statistical Software 14 (15), 1-25, 2005	673	2005
dbscan: Fast Density-based Clustering with R M Hahsler, M Piekenbrock, D Doran Journal of Statistical Software 91 (1), 1-30, 2019	593	2019
Getting things in order: an introduction to the R package seriation M Hahsler, K Hornik, C Buchta Journal of Statistical Software 25 (3), 1-34, 2008	286	2008
TSP-Infrastructure for the traveling salesperson problem M Hahsler, K Hornik Journal of Statistical Software 23 (2), 1-21, 2007	269	2007
Introduction to arules–mining association rules and frequent item sets M Hahsler, B Grün, K Hornik SIGKDD Explor 2 (4), 1-28, 2007	200	2007
The arules R-package ecosystem: analyzing interesting patterns from large transaction data sets M Hahsler, S Chelluboina, K Hornik, C Buchta The Journal of Machine Learning Research 12, 2021-2025, 2011	183	2011
arulesViz: Visualizing Association Rules and Frequent Itemsets M Hahsler, S Chelluboina Comprehensive R Archive Network, 2011	177*	2011
Visualizing association rules in hierarchical groups M Hahsler, R Karpienko Journal of Business Economics 87 (3), 317-335, 2017	165	2017
Clustering data streams based on shared density between micro-clusters M Hahsler, M Bolanos IEEE Transactions on Knowledge and Data Engineering 99 (99), 1-14, 2016	146	2016
recommenderlab: An R Framework for Developing and Testing Recommendation Algorithms M Hahsler arXiv preprint arXiv:2205.12371, 2022	111	2022
arules: Mining Association Rules and Frequent Itemsets M Hahsler, C Buchta, B Gruen, K Hornik Comprehensive R Archive Network, 2005	104*	2005
Density-based clustering of applications with noise (DBSCAN) and related algorithms M Hahsler, M Piekenbrock Comprehensive R Archive Network, 2019	98*	2019
A probabilistic comparison of commonly used interest measures for association rules M Hahsler https://mhahsler.github.io/arules/docs/measures, 2015	90*	2015
SOStream: Self organizing density-based clustering over data stream C Isaksson, MH Dunham, M Hahsler International workshop on machine learning and data mining in pattern …, 2012	89	2012
New probabilistic interest measures for association rules M Hahsler, K Hornik Intelligent Data Analysis 11 (5), 437-455, 2007	79	2007
Implications of probabilistic data modeling for mining association rules M Hahsler, K Hornik, T Reutterer From Data and Information Analysis to Knowledge Engineering: Proceedings of …, 2006	79	2006
arulesViz: interactive visualization of association rules with R M Hahsler The R Journal 9 (2), 2017	75	2017
Evaluation of recommender algorithms for an internet information broker based on simple association rules and on the repeat-buying theory A Geyer-Schulz, M Hahsler proceedings WEBKDD, 100-114, 2002	70	2002
Polymorphic malware detection using sequence classification methods and ensembles J Drew, M Hahsler, T Moore EURASIP Journal on Information Security 2017 (1), 1-12, 2017	65	2017

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