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23th Industrial Conference on Data Mining ICDM 2023July 12 - 16, 2023, New York, USAwww.data-mining-forum.de 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 CommitteePlamen Angelov Lancaster University, United KingdomAntonio Dourado University of Coimbra, PortugalStefano Ferilli University of Bari, ItalyWarwick Graco Analytics Shed, AustraliaAleksandra Gruca Silesian University of Technology, PolandPedro Isaias The University of New South Wales, AustraliaPiotr Jedrzejowicz Gdynia Maritime University, PolandMartti Juhola University of Tampere, FinlandEduardo F. Morales National Institute of Astrophysics, Optics, and Electronics,MexicoWieslaw Paja University of Rzeszow, PolandVictor Sheng University of Central Arkansas, USAIren Todorova Valova University of Massachusetts Dartmouth, USAYun Zhao University of California, USAand more to be announced... Topics of the conferencePaper submissions should be related but not limited to any of the following topics: Applications of Data Mining in ... MarketingMedicineCivil EngineeringE-Commerce (Mining Logfiles)BiotechnologyQuality ManagementMultimedia Data (Image, Video, Text, Signals)Web-MiningIntrusion Detection in NetworksCriminologyTelecommunicationsSocial SciencesForensic Data AnalysisDrug DiscoveryAgricultureSmart MaintenanceLegal Court CasesEnergy IndustriesLogistics and Supply Chain ManagementFinance and Stock MarketsMeterology, Blockchain and more ... Theoretical and Application-oriented Topics in ...Big Data and Algorithm for Big DataCase-Based Reasoning and Similarity-Based ReasoningClusteringClassification and PredictionStatistical LearningAssociation RulesDeviation and Novelty DetectionControl ChartsConceptional LearningGoodness Measures and Evaluation (e.g. false discovery rates)Inductive Learning Including Decision Tree and Rule Induction LearningOrganisational Learning and Evolutional LearningSampling MethodsSimilarity Measures and Learning of SimilarityStatistical Learning and Neural Net Based LearningVisualization and Data MiningDeviation and Novelty DetectionFeature Grouping, Discretization, Selection and TransformationFeature LearningFrequent Pattern MiningLearning and Adaptive ControlLearning/Adaption of Recognition and PerceptionLearning for Handwriting RecognitionLearning in Image Pre-Processing and SegmentationMining Financial or Stockmarket DataMining Motion from SequenceSubspace MethodsSupport Vector MachinesTime Series and Sequential Pattern MiningDesirabilitiesGraph MiningAgent Data MiningApplications in Software TestingKnowledge ManagementMining Social MediaOnline Targeting and ControllingBehavioral TargetingMeteorological Data MiningData Mining in Energy IndustryDesign of ExperimentStrategy of ExperimentationCapability IndicesBusiness Intelligence and Data MiningLegal Informatics and Data MiningData Mining for Logistic and Supply Chain Management Authors can submit their paper in long paper or short paper version. Long PaperThe 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. Papers will published in the conference proceedings. Please submit your Long Paper to the CMS-System. A special issue will be set up for the Intern. Journal Transactions on Machine Learning and Data Mining. Short PaperShort papers are also welcome and can be used to describe work in progress or project ideas. They can have 5 to max. 15 pages, formatted in Springer LNCS format. Accepted short papers will be presented as poster in the poster session. They will be published in a special poster proceedings book. Please submit your Short Paper to the CMS-System. Industry PapersWe encourage industrial people to show their applications and projects for data mining. This work can be presented as poster during the poster session in the special industry track. Please submit a one page abstract including title, name and affilation. Please submit your Industry Paper to the CMS-System. URL: Tickets: https://go.evvnt.com/1180038-0?pid=5569 Date and Time: On Wed, 12 Jul 2023 09:00 - Sun, 16 Jul 2023 17:00 Price: General Admission: EUR 773.50 Venue details: New York Marriott Marquis, 1535 Broadway, New York, NY, 10036, United States