Call for Papers |
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MLDM 2023
18th International Conference on Machine Learning and Data Mining July 16 - 21, 2023, New York, USA The Aim of the Conference The 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. Chair Petra Perner IBaI, Germany Program Committee Piotr Artiemjew University of Warmia and Mazury in Olsztyn, Poland Sung-Hyuk Cha Pace Universtity, USA Ming-Ching Chang University of Albany, USA Mark J. Embrechts Rensselaer Polytechnic Institute and CardioMag Imaging, Inc, USA Robert Haralick City University of New York, USA Adam Krzyzak Concordia University, Canada Chengjun Liu New Jersey Institute of Technology, USA Krzysztof Pancerz University Rzeszow, Poland Dan Simovici University of Massachusetts Boston, USA Agnieszka Wosiak Lodz University of Technology, Poland more to be annouced... Topics of the conference Paper submissions should be related but not limited to any of the following topics: Association Rules Audio Mining Autoamtic Semantic Annotation of Media Content Bayesian Models and Methods Capability Indices Case-Based Reasoning and Associative Memory case-based reasoning and learning Classification & Prediction classification and interpretation of images, text, video Classification and Model Estimation Clustering Cognition and Computer Vision Conceptional Learning conceptional learning and clustering Content-Based Image Retrieval Control Charts Decision Trees Design of Experiment Desirabilities Deviation and Novelty Detection Feature Grouping, Discretization, Selection and Transformation Feature Learning Frequent Pattern Mining Goodness measures and evaluaion (e.g. false discovery rates) Graph Mining High-Content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry Inductive Learning Including Decision Tree and Rule Induction Learning knowledge extraction from text, video, signals and images Learning and Adaptive Control Learning for Handwriting Recognition Learning in Image Pre-Processing and Segmentation Learning in process automation Learning of action patterns Learning of appropriate behaviour Learning of internal representations and models Learning of Ontologies Learning of Semantic Inferencing Rules Learning of Visual Ontologies Learning robots Learning/Adaption of Recognition and Perception Mining Financial or Stockmarket Data Mining Gene Data Bases and Biological Data Bases Mining Images and Texture Mining Images in Computer Vision Mining Images, Temporal-Spatial Data, Images from Remote Sensing Mining Motion from Sequence mining structural representations such as log files, text documents and HTML documents mining text documents Network Analysis and Intrusion Detection Neural Methods Nonlinear Function Learning and Neural Net Based Learning Organisational Learning and Evolutional Learning Probabilistic Information Retrieval Real-Time Event Learning and Detection Retrieval Methods Rule Induction and Grammars Sampling methods Selection with small samples Similarity Measures and Learning of Similarity Speech Analysis Statistical and Conceptual Clustering Methods Statistical and Evolutionary Learning Statistical Learning Statistical Learning and Neural Net Based Learning Strategy of Experimentation Subspace Methods Support Vector Machines Symbolic Learning and Neural Networks in Document Processing Telecommunication Time Series and Sequential Pattern Mining Video Mining Visualization and Data Mining Agent Data Mining Applications in Medicine Applications in Software Testing Applications of Clustering Aspects of Data Mining Paper Submission The 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 on Case-Based Reasoning. |
Summary |
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MLDM 2023 : 18th International Conference on Machine Learning and Data Mining will take place in New York, USA. It’s a 6 days event starting on Jul 16, 2023 (Sunday) and will be winded up on Jul 21, 2023 (Friday). MLDM 2023 falls under the following areas: MACHINE LEARNING, DATA MINING, PATTERN RECOGNITION, CLASSIFICATION, etc. Submissions for this Conference can be made by Jan 15, 2023. Authors can expect the result of submission by Mar 18, 2023. Upon acceptance, authors should submit the final version of the manuscript on or before Apr 5, 2023 to the official website of the Conference. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the MLDM 2023
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Credits and Sources |
| [1] MLDM 2023 : 18th International Conference on Machine Learning and Data Mining |
