International Conference on Machine Learning and Data Analysis ICMLDA on February 17-18, 2025 in Paris, France
Submit Your Paper- Short Name: ICMLDA
- Event Type: Conference
- Presentation: Digital
- Website URL: https://waset.org/machine-learning-and-data-analysis-conference-in-february-2025-in-paris
- Program URL: https://waset.org/conferences-in-february-2025-in-paris/program
- Contact URL: https://waset.org
- Location: Paris, France
- Date: February 17-18, 2025
- Final Submission: January 21, 2025
- Notification: December 12, 2024
- Organization: World Academy of Science, Engineering and Technology
- Conference Tags: technology system monitoring soft computing search engine optimization (seo) robotic process automation research data infrastructure reinforcement learning recommender systems protein interaction positive technology observability mobile data metadata machine learning machine intelligence learning representations knowledge management knowledge discovery internet of things (iot) intelligent systems intelligent mobile computing intelligent computing intelligent automation information technology information systems information science information retrieval information management information engineering industrial wireless sensor networks industrial data analytics fuzzy systems functional programming frontier computing fraud detection financial software development evolutionary computation edge intelligence dynamic programming digitization digital twins digital preservation digital forensics visual analytics text mining teleinformatics digital data deep learning decision support databases information systems database engineering database data warehousing data visualization data processing data mining data management data integrity data integration data governance data engineering data compression data collection data analytics data analysis content management computing computer technology computer science computer engineering computer applications biological computing big data analytics big data analysis big data astroinformatics artificial neural networks artificial intelligence (ai) artificial intelligence applied informatics applied computing ambient intelligence algorithms
association rules
Audio Mining
case-based reasoning and learning
classification and interpretation of images, text, video
conceptional learning and clustering
Goodness measures and evaluaion (e.g. false discovery rates)
inductive learning including decision tree and rule induction learning
knowledge extraction from text, video, signals and images
mining gene data bases and biological data bases
mining images, temporal-spatial data, images from remote sensing
mining structural representations such as log files, text documents and HTML documents
mining text documents
organisational learning and evolutional learning
probabilistic information retrieval
Selection bias
Sampling methods
Selection with small samples
similarity measures and learning of similarity
statistical learning and neural net based learning
video mining
visualization and data mining
Applications of Clustering
Aspects of Data Mining
Applications in Medicine
Autoamtic Semantic Annotation of Media Content
Bayesian Models and Methods
Case-Based Reasoning and Associative Memory
- Classification and Model Estimation
Content-Based Image Retrieval
Decision Trees
Deviation and Novelty Detection
Feature Grouping, Discretization, Selection and Transformation
Feature Learning
Frequent Pattern Mining
High-Content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry
Learning and adaptive control
Learning/adaption of recognition and perception
Learning for Handwriting Recognition
Learning in Image Pre-Processing and Segmentation
Learning in process automation
Learning of internal representations and models
Learning of appropriate behaviour
Learning of action patterns
Learning of Ontologies
Learning of Semantic Inferencing Rules
Learning of Visual Ontologies
Learning robots
Mining Financial or Stockmarket Data
Mining Images in Computer Vision
Mining Images and Texture
Mining Motion from Sequence
Neural Methods
Network Analysis and Intrusion Detection
Nonlinear Function Learning and Neural Net Based Learning
Real-Time Event Learning and Detection
Retrieval Methods
Rule Induction and Grammars
Speech Analysis
Statistical and Conceptual Clustering Methods: Basics
Statistical and Evolutionary Learning
Subspace Methods
Support Vector Machines
Symbolic Learning and Neural Networks in Document Processing
Text Mining
Time Series and Sequential Pattern Mining
Mining Social Media
Audio Mining
case-based reasoning and learning
classification and interpretation of images, text, video
conceptional learning and clustering
Goodness measures and evaluaion (e.g. false discovery rates)
inductive learning including decision tree and rule induction learning
knowledge extraction from text, video, signals and images
mining gene data bases and biological data bases
mining images, temporal-spatial data, images from remote sensing
mining structural representations such as log files, text documents and HTML documents
mining text documents
organisational learning and evolutional learning
probabilistic information retrieval
Selection bias
Sampling methods
Selection with small samples
similarity measures and learning of similarity
statistical learning and neural net based learning
video mining
visualization and data mining
Applications of Clustering
Aspects of Data Mining
Applications in Medicine
Autoamtic Semantic Annotation of Media Content
Bayesian Models and Methods
Case-Based Reasoning and Associative Memory
- Classification and Model Estimation
Content-Based Image Retrieval
Decision Trees
Deviation and Novelty Detection
Feature Grouping, Discretization, Selection and Transformation
Feature Learning
Frequent Pattern Mining
High-Content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry
Learning and adaptive control
Learning/adaption of recognition and perception
Learning for Handwriting Recognition
Learning in Image Pre-Processing and Segmentation
Learning in process automation
Learning of internal representations and models
Learning of appropriate behaviour
Learning of action patterns
Learning of Ontologies
Learning of Semantic Inferencing Rules
Learning of Visual Ontologies
Learning robots
Mining Financial or Stockmarket Data
Mining Images in Computer Vision
Mining Images and Texture
Mining Motion from Sequence
Neural Methods
Network Analysis and Intrusion Detection
Nonlinear Function Learning and Neural Net Based Learning
Real-Time Event Learning and Detection
Retrieval Methods
Rule Induction and Grammars
Speech Analysis
Statistical and Conceptual Clustering Methods: Basics
Statistical and Evolutionary Learning
Subspace Methods
Support Vector Machines
Symbolic Learning and Neural Networks in Document Processing
Text Mining
Time Series and Sequential Pattern Mining
Mining Social Media
Name: World Academy of Science, Engineering and Technology
Website: https://waset.org/
Address: UAE
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