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dc.contributor.authorPerner, Petraen_US
dc.contributor.authorRosenfeld, Azrielen_US
dc.date.accessioned2019-07-01T07:26:06Z
dc.date.available2019-07-01T07:26:06Z
dc.date.issued2003en_US
dc.identifier.isbn3-540-40504-6en_US
dc.identifier.otherHPU1161397en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/33042
dc.description.abstractThe 33 papers in these proceedings cover a wide variety of topics related to machine learning and data mining. The two invited talks deal with learning in case-based reasoning and with mining for structural data. The contributed papers can be grouped into nine areas: support vector machines. pattern disco very. decision trees. clustering. classification and retrieval. case-based reasoning. Bayesian models and methods. association rules. and applications.en_US
dc.format.extent452 p.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectData Miningen_US
dc.subjectArtificial Intelligenceen_US
dc.subjectTechnologyen_US
dc.titleMachine Learning and Data Mining in Pattern Recognition: Third International Conference, MLDM, Leipzig, Germany, July 25 5-7,, Proceedingsen_US
dc.typeBooken_US
dc.size5,715 KBen_US
dc.departmentTechnologyen_US


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