Michael J. Pazzani

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Eamonn KeoghDistinguished Professor of Computer Science, University of California - RiversideGeverifieerd e-mailadres voor cs.ucr.edu
Selina ChuResearch Scientist, Nasa Jet Propulsion Laboratory, California Institute of TechnologyGeverifieerd e-mailadres voor jpl.nasa.gov
Pedro DomingosProfessor of Computer Science and Engineering, University of WashingtonGeverifieerd e-mailadres voor cs.washington.edu
Subramani ManiAssociate Professor of Medicine, University of New MexicoGeverifieerd e-mailadres voor salud.unm.edu
Sharad MehrotraChancellor's Professor of Computer Science, Univ. of California, IrvineGeverifieerd e-mailadres voor ics.uci.edu
Chris MerzUniversity of California IrvineGeverifieerd e-mailadres voor mst.edu
Padhraic SmythProfessor, Computer Science, University of California IrvineGeverifieerd e-mailadres voor ics.uci.edu
Reza RawassizadehBoston UniversityGeverifieerd e-mailadres voor bu.edu
Douglas FisherVanderbilt UniversityGeverifieerd e-mailadres voor vanderbilt.edu
Geoff WebbProfessor of Information Technology Research, Monash UniversityGeverifieerd e-mailadres voor monash.edu
Mark AckermanUniversity of Michigan, Ann ArborGeverifieerd e-mailadres voor umich.edu
Pat LangleyDirector, ISLE; Research Scientist, Stanford UniversityGeverifieerd e-mailadres voor stanford.edu
Chelsea DobbinsThe University of QueenslandGeverifieerd e-mailadres voor uq.edu.au
Matt JonesProfessor of Computer Science, Computational Foundry, Swansea UniversityGeverifieerd e-mailadres voor swansea.ac.uk
George BuchananDirector Melbourne iSchool, School of Computing and Information Systems, University of MelbourneGeverifieerd e-mailadres voor unimelb.edu.au
Harold ThimblebyProfessor of Computer Science, Swansea UniversityGeverifieerd e-mailadres voor swansea.ac.uk
Gary MarsdenProfessor of Computer Science, University of Cape TownGeverifieerd e-mailadres voor cs.uct.ac.za
Marco GruteserResearch Scientist, Google; former P. Cherasia Scholar & Professor, RutgersGeverifieerd e-mailadres voor winlab.rutgers.edu
Alexander TuzhilinProfessor of Information Systems, NYUGeverifieerd e-mailadres voor stern.nyu.edu
Giovanni SemeraroComputer Science, head of the SWAP 'Antonio Bello' research group, University of Bari Aldo MoroGeverifieerd e-mailadres voor uniba.it

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Michael J. Pazzani

Distinguished Scientist

Geverifieerd e-mailadres voor UCSD.edu - Homepage

Machine Learning Explainable Artificial Intelligence Personalization Recommender Systems Search Engines


Titel Sorteren op citaties Sorteren op jaar Sorteren op titel	Geciteerd door Geciteerd door	Jaar
On the optimality of the simple Bayesian classifier under zero-one loss P Domingos, M Pazzani Machine learning 29 (2-3), 103-130, 1997	4354	1997
Content-based recommendation systems MJ Pazzani, D Billsus The adaptive web: methods and strategies of web personalization, 325-341, 2007	3553	2007
A framework for collaborative, content-based and demographic filtering MJ Pazzani Artificial intelligence review 13, 393-408, 1999	2338	1999
Dimensionality reduction for fast similarity search in large time series databases E Keogh, K Chakrabarti, M Pazzani, S Mehrotra Knowledge and information Systems 3, 263-286, 2001	2034	2001
Learning and revising user profiles: The identification of interesting web sites M Pazzani, D Billsus Machine learning 27, 313-331, 1997	1980	1997
Learning collaborative information filters. D Billsus, MJ Pazzani Icml 98, 46-54, 1998	1805	1998
An online algorithm for segmenting time series E Keogh, S Chu, D Hart, M Pazzani Proceedings 2001 IEEE international conference on data mining, 289-296, 2001	1552	2001
Syskill & Webert: Identifying interesting web sites MJ Pazzani, J Muramatsu, D Billsus AAAI/IAAI, Vol. 1, 54-61, 1996	1235	1996
Locally adaptive dimensionality reduction for indexing large time series databases E Keogh, K Chakrabarti, M Pazzani, S Mehrotra Proceedings of the 2001 ACM SIGMOD international conference on Management of …, 2001	1177	2001
Beyond independence: Conditions for the optimality of the simple bayesian classi er P Domingos, M Pazzani Proc. 13th Intl. Conf. Machine Learning, 105-112, 1996	1176	1996
Scaling up dynamic time warping for datamining applications EJ Keogh, MJ Pazzani Proceedings of the sixth ACM SIGKDD international conference on Knowledge …, 2000	990	2000
Segmenting time series: A survey and novel approach E Keogh, S Chu, D Hart, M Pazzani Data mining in time series databases, 1-21, 2004	886	2004
User modeling for adaptive news access D Billsus, MJ Pazzani User modeling and user-adapted interaction 10, 147-180, 2000	882	2000
An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback. EJ Keogh, MJ Pazzani Kdd 98, 239-243, 1998	803	1998
A hybrid user model for news story classification D Billsus, MJ Pazzani UM99 User Modeling: Proceedings of the Seventh International Conference, 99-108, 1999	670	1999
Machine learning for user modeling GI Webb, MJ Pazzani, D Billsus User modeling and user-adapted interaction 11, 19-29, 2001	594	2001
Locally adaptive dimensionality reduction for indexing large time series databases K Chakrabarti, E Keogh, S Mehrotra, M Pazzani ACM Transactions on Database Systems (TODS) 27 (2), 188-228, 2002	544	2002
Detecting group differences: Mining contrast sets SD Bay, MJ Pazzani Data mining and knowledge discovery 5, 213-246, 2001	524	2001
The utility of knowledge in inductive learning M Pazzani, D Kibler Machine learning 9, 57-94, 1992	502	1992
Reducing misclassification costs M Pazzani, C Merz, P Murphy, K Ali, T Hume, C Brunk Machine Learning Proceedings 1994, 217-225, 1994	498	1994

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