DAMI 2025 - 11th International Conference on Data Mining (DaMi 2025)
View: 1459
Website https://csit2025.org/dami/index |
Edit Freely
Category Data Mining
Deadline: July 12, 2025 | Date: July 27, 2025-July 28, 2025
Venue/Country: London, United Kingdom, U.K.
Updated: 2025-07-09 20:59:52 (GMT+9)
Call For Papers - CFP
11th International Conference on Data Mining (DaMi 2025)July 26 ~ 27, 2025, London, United Kingdomhttps://csit2025.org/dami/index
Scope & Topics11th International Conference on Data Mining (DaMi 2025) Conference provides a forum for researchers who address this issue and to present their work in a peer-reviewed forum.Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Data Mining and Knowledge Management Process.Topics of interest include, but are not limited to, the following:Foundations of Data MiningData Mining Techniques and Approaches (Classification, Clustering, Association Rule Mining, Regression Analysis, Dimensionality Reduction, Ensemble Learning)Algorithm Design and DevelopmentScalability and EfficiencyPattern DiscoveryHealthcare and BioinformaticsFinance and EconomicsMarketing and E-CommerceSocial Media and NetworksManufacturing and IndustryCybersecurityData PreprocessingData CleaningFeature Selection and EngineeringNormalization and StandardizationData IntegrationDeep LearningGraph MiningText MiningTime Series MiningSpatial Data MiningStream Data MiningEvaluation and ValidationModel EvaluationMining Evaluation MetricsOverfitting and UnderfittingKnowledge Discovery and Knowledge RepresentationInterpretability and ExplainabilityVisual Data MiningKnowledge RepresentationData Mining Systems and SoftwareSoftware Tools and PlatformsDistributed and Parallel Data MiningBig Data MiningReal-time Data MiningPrivacy, Security, and Ethical IssuesPrivacy-preserving Data MiningData AnonymizationSecurity Issues in Data MiningEthical ConcernsMultimedia and Complex Data MiningMultimedia Data MiningMultimodal DataSensor Data MiningBig Data and Cloud ComputingBig Data AnalyticsCloud-based Data MiningEvolutionary AlgorithmsHybrid ModelsData Mining for Decision Support and Knowledge ManagementDecision Support Systems (DSS)Business Intelligence and AnalyticsKnowledge ManagementData mining Emerging TrendsArtificial Intelligence and Data MiningQuantum Computing and Data MiningExplainable AI (XAI)Paper SubmissionAuthors are invited to submit papers through the conference Submission System by July 12, 2025(Final Call) .Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).Selected papers from DAMI 2025, after further revisions, will be published in the special issues of the following journalsInternational Journal of Database Management Systems (IJDMS) – WJCI IndexedInternational Journal of Data Mining & Knowledge Management Process (IJDKP) – WJCI IndexedInternational Journal on Web Service Computing (IJWSC)Information Technology in Industry (ITII)Important DateLast call : (Submissions after June 16, 2025)Submission Deadline : July 12, 2025(Final Call)Authors Notification : July 23, 2025Registration & Camera-Ready Paper Due : July 24, 2025Contact UsHere’s where you can reach us : dami
csit2025.org or damiconfe
yahoo.com
Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.