The 20th International Conference on Machine Learning and Data Mining (MLDM 2024) covers topics such as:
- Case-based reasoning and learning
- Association rules
- Conceptional learning and clustering
- Classification and interpretation of images, text, video
- Inductive learning including decision tree and rule induction learning
- Goodness measures and evaluaion (e.g. false discovery rates)
- Mining gene data bases and biological data bases
- Knowledge extraction from text, video, signals and images
- Mining structural representations such as log files, text documents and HTML documents
- Mining images, temporal-spatial data, images from remote sensing
- Organisational learning and evolutional learning
- Mining text documents
- Sampling methods
- Probabilistic information retrieval
- Similarity measures and learning of similarity
- Selection with small samples
- Video mining
- Statistical learning and neural net based learning
- Applications of Clustering
- Visualization and data mining
- Applications in Medicine
- Aspects of Data Mining
- Bayesian Models and Methods
- Autoamtic Semantic Annotation of Media Content
- Classification and Model Estimation
- Case-Based Reasoning and Associative Memory
- Decision Trees
- Content-Based Image Retrieval
- Feature Grouping, Discretization, Selection and Transformation
- Deviation and Novelty Detection
- Frequent Pattern Mining
- Feature Learning
- Learning and adaptive control
- High-Content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry
- Learning for Handwriting Recognition
- Learning/adaption of recognition and perception
- Learning in process automation
- Learning in Image Pre-Processing and Segmentation
- Learning of appropriate behaviour
- Learning of internal representations and models
- Learning of Ontologies
- Learning of action patterns
- Learning of Visual Ontologies
- Learning of Semantic Inferencing Rules
- Mining Images in Computer Vision
- Learning robots
- Mining Motion from Sequence
- Mining Images and Texture
- Network Analysis and Intrusion Detection
- Neural Methods
- Real-Time Event Learning and Detection
- Nonlinear Function Learning and Neural Net Based Learning
- Rule Induction and Grammars
- Retrieval Methods
- Statistical and Conceptual Clustering Methods
- Speech Analysis
- Subspace Methods
- Statistical and Evolutionary Learning
- Symbolic Learning and Neural Networks in Document Processing
- Support Vector Machines
- Audio Mining
- Time Series and Sequential Pattern Mining
- Clustering
- Cognition and Computer Vision
- Statistical Learning
- Classification & Prediction
- Telecommunication
- Association Rules
- Strategy of Experimentation
- Design of Experiment
- Deviation and Novelty Detection
- Capability Indices
- Design of Experiments
- Control Charts
- Conceptional Learning
- Capability Indices
- Inductive Learning Including Decision Tree and Rule Induction Learning
- Goodness Measures and Evaluation (e.g. false discovery rates)
- Sampling Methods
- Organisational Learning and Evolutional Learning
- Statistical Learning and Neural Net Based Learning
- Similarity Measures and Learning of Similarity
- Deviation and Novelty Detection
- Visualization and Data Mining
- Feature Learning
- Feature Grouping, Discretization, Selection and Transformation
- Learning and Adaptive Control
- Frequent Pattern Mining
- Learning for Handwriting Recognition
- Learning/Adaption of Recognition and Perception
- Mining Financial or Stockmarket Data
- Learning in Image Pre-Processing and Segmentation
- Subspace Methods
- Mining Motion from Sequence
- Time Series and Sequential Pattern Mining
- Support Vector Machines
- Graph Mining
- Desirabilities
- Applications in Software Testing
- Agent Data Mining
The 20th International Conference on Machine Learning and Data Mining (MLDM 2024) brings together attendees involved or interested in machine learning and data mining.
The 20th International Conference on Machine Learning and Data Mining (MLDM 2024) will be held in Dresden, Germany on 13-18 Jul 2024.
