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18th International Conference on Machine Learning and Data Mining MLDM 2023

18th International Conference on Machine Learning and Data Mining MLDM 2023

Categories

Date of beginning

Saturday, 15 July 2023

Duration

5 days

City

New York

Country

United States

Contact

Petra Perner

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Memo

18th International Conference on Machine Learning and Data Mining MLDM 2023July 15 - 19, 2023, New York, USA The Aim of the ConferenceThe aim of the conference is to bring together researchers from all over the world who deal with machine learning and data mining in order to discuss the recent status of the research and to direct further developments. Basic research papers as well as application papers are welcome. ChairPetra Perner Institute of Computer Vision and applied Computer Sciences IBaI, Germany Program CommitteePiotr Artiemjew University of Warmia and Mazury in Olsztyn, PolandSung-Hyuk Cha Pace Universtity, USAMing-Ching Chang University of Albany, USAMark J. Embrechts Rensselaer Polytechnic Institute and CardioMag Imaging, Inc, USARobert Haralick City University of New York, USAAdam Krzyzak Concordia University, CanadaChengjun Liu New Jersey Institute of Technology, USAKrzysztof Pancerz University Rzeszow, PolandDan Simovici University of Massachusetts Boston, USAAgnieszka Wosiak Lodz University of Technology, Polandmore to be annouced... Topics of the conference Paper submissions should be related but not limited to any of the following topics: Association RulesAudio MiningAutoamtic Semantic Annotation of Media ContentBayesian Models and MethodsCapability IndicesCase-Based Reasoning and Associative Memorycase-based reasoning and learningClassification & Predictionclassification and interpretation of images, text, videoClassification and Model EstimationClusteringCognition and Computer VisionConceptional Learningconceptional learning and clusteringContent-Based Image RetrievalControl ChartsDecision TreesDesign of ExperimentDesirabilitiesDeviation and Novelty DetectionFeature Grouping, Discretization, Selection and TransformationFeature LearningFrequent Pattern MiningGoodness measures and evaluaion (e.g. false discovery rates)Graph MiningHigh-Content Analysis of Microscopic Images in Medicine, Biotechnology and ChemistryInductive Learning Including Decision Tree and Rule Induction Learningknowledge extraction from text, video, signals and imagesLearning and Adaptive ControlLearning for Handwriting RecognitionLearning in Image Pre-Processing and SegmentationLearning in process automationLearning of action patternsLearning of appropriate behaviourLearning of internal representations and modelsLearning of OntologiesLearning of Semantic Inferencing RulesLearning of Visual OntologiesLearning robotsLearning/Adaption of Recognition and PerceptionMining Financial or Stockmarket DataMining Gene Data Bases and Biological Data BasesMining Images and TextureMining Images in Computer VisionMining Images, Temporal-Spatial Data, Images from Remote SensingMining Motion from Sequencemining structural representations such as log files, text documents and HTML documentsmining text documentsNetwork Analysis and Intrusion DetectionNeural MethodsNonlinear Function Learning and Neural Net Based LearningOrganisational Learning and Evolutional LearningProbabilistic Information RetrievalReal-Time Event Learning and DetectionRetrieval MethodsRule Induction and GrammarsSampling methodsSelection with small samplesSimilarity Measures and Learning of SimilaritySpeech AnalysisStatistical and Conceptual Clustering MethodsStatistical and Evolutionary LearningStatistical LearningStatistical Learning and Neural Net Based LearningStrategy of ExperimentationSubspace MethodsSupport Vector MachinesSymbolic Learning and Neural Networks in Document ProcessingTelecommunicationTime Series and Sequential Pattern MiningVideo MiningVisualization and Data MiningAgent Data MiningApplications in MedicineApplications in Software TestingApplications of ClusteringAspects of Data Mining Paper SubmissionThe paper must be formatted in the Springer LNCS format. They should have at most 15 pages. The papers will be reviewed by the program committee. The papers will be published in the conference proceedings. Extended versions of the papers will appear in the Special Issue in the Intern. Journal Transaction on Machine Learning and Data Mining or in the Intern. Journal Transaction onCase-Based Reasoning. Tickets https://go.evvnt.com/1180047-0?pid=5569 Price:General Admission: EUR 773.50 Dates and Time: Starts: Sat, Jul 15, 2023 ( 9:00 AM) and Ends: Wed, Jul 19, 2023 ( 5:00 PM) Venue details: New York Marriott Marquis, 1535 Broadway, New York, New York, 10036, United States