International Conference on Machine Learning and Data Mining (MLDM)

July 18th, 2021
Creatio Accelerate

 July 18th, 2021 - July 22nd, 2021 

International Conference on Machine Learning and Data Mining (MLDM)

Event submitted on Monday, October 12th 2020, approved by Henry Dalzel

International Conference on Machine Learning and Data Mining (MLDM), July 18th, 2021Click to Tweet

270 Days Until The Event
July 18th, 2021 - July 22nd, 2021
United States  »  Northeast, USA  »  New York » 
Event Website

This event has been tagged as follows:

* This is an online event (webinar)

 Our Review

This event is highly recommended for all living and working in New York on July 18th. Since 1999 this conference aims 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.

- Review written by Henry Dalziel on Monday, October 12th 2020.
- If you would like to edit or ammend facts in my review please either send us a message or connect with me via LinkedIn.

Event Summary

The following description was either submitted by the Conference Organizer on Monday, October 12th 2020, or created by us.

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.

All kinds of applications are welcome but special preference will be given to multimedia-related applications, biomedical applications, and webmining. Paper submissions should be related but not limited to any of the following topics:

-association rules
-Audio Mining
-case-based reasoning and learning
-classification and interpretation of images, text, video
-conceptional learning and clustering
-Goodness measures and evaluation (e.g. false discovery rates)
-inductive learning including decision tree and rule induction learning
-knowledge extraction from text, video, signals, and images
-mining gene databases and biological databases
-mining images, temporal-spatial data, images from remote sensing
mining structural representations such as log files, text documents, and HTML documents
-mining text documents
-organizational 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
-Automatic 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 behavior
-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

Submit a review for this event.

Did you attend International Conference on Machine Learning and Data Mining (MLDM)? Let us know how it was and share your experience with the greater community.