MLDM: Machine Learning and Data Mining in Pattern Recognition

FacebookTwitterLinkedInGoogle

 

Past:   Proceedings on DBLP

Future:  Post a CFP for 2023 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
MLDM 2022 18th International Conference on Machine Learning and Data Mining
Jul 16, 2022 - Jul 21, 2022 New York, USA Jan 15, 2022
MLDM 2021 17th International Conference on Machine Learning and Data Mining
Jul 17, 2021 - Jul 22, 2021 New York, USA Jan 15, 2021
MLDM 2020 16th International Conference on Machine Learning and Data Mining MLDM 2020
Jul 18, 2020 - Jul 23, 2020 New York Jan 15, 2020
MLDM 2019 15th International Conference on Machine Learning and Data Mining MLDM 2019
Jul 20, 2019 - Jul 25, 2019 New York Feb 15, 2019
MLDM 2019 15th International Conference on Machine Learning and Data Mining
Jul 13, 2019 - Jul 18, 2019 New York, USA Jan 15, 2019
MLDM 2017 Machine Learning and Data Mining in Pattern Recognition
Jul 15, 2017 - Jul 21, 2017 New York, USA Jan 15, 2017
MLDM 2011 International Conference on Machine Learning and Data Mining
Aug 30, 2011 - Sep 3, 2011 New York, USA Feb 21, 2011
MLDM 2009 6th International Conference on Machine Learning and Data Mining
Jul 23, 2009 - Jul 25, 2009 Leipzig Germany Jan 27, 2009
 
 

Present CFP : 2022

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.

« top

Topics of the conference
All kinds of applications are welcome but special preference will be given to multimedia related applications, applications from live sciences and webmining.

Paper submissions should be related but not limited to any of the following topics:

association rules
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
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 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
Statistical and Evolutionary Learning
Subspace Methods
Support Vector Machines
Symbolic Learning and Neural Networks in Document Processing
Time Series and Sequential Pattern Mining
Audio Mining
Cognition and Computer Vision
Clustering
Classification & Prediction
Statistical Learning
Association Rules
Telecommunication
Design of Experiment
Strategy of Experimentation
Capability Indices
Deviation and Novelty Detection
Control Charts
Design of Experiments
Capability Indices
Conceptional Learning
Goodness Measures and Evaluation (e.g. false discovery rates)
Inductive Learning Including Decision Tree and Rule Induction Learning
Organisational Learning and Evolutional Learning
Sampling Methods
Similarity Measures and Learning of Similarity
Statistical Learning and Neural Net Based Learning
Visualization and Data Mining
Deviation and Novelty Detection
Feature Grouping, Discretization, Selection and Transformation
Feature Learning
Frequent Pattern Mining
Learning and Adaptive Control
Learning/Adaption of Recognition and Perception
Learning for Handwriting Recognition
Learning in Image Pre-Processing and Segmentation
Mining Financial or Stockmarket Data
Mining Motion from Sequence
Subspace Methods
Support Vector Machines
Time Series and Sequential Pattern Mining
Desirabilities
Graph Mining
Agent Data Mining
Applications in Software Testing


Authors can submit their paper in long or short version.

Long Paper
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.

Short Paper
Short papers are also welcome and can be used to describe work in progress or project ideas. They can have 5 to max. 15 pages, formatted in Springer LNCS format. Accepted short papers will be presented as poster in the poster session. They will be published in a special poster proceedings book.
 

Related Resources

Federated Learning in IOT Cybersecurity 2021   PeerJ Computer Science - Federated Learning for Cybersecurity in Internet of Things
CVPR 2022   Computer Vision and Pattern Recognition
ICDM 2022   22th Industrial Conference on Data Mining
MLDM 2021   17th International Conference on Machine Learning and Data Mining
SENSORS Special Issue 2022   'Next Generation of Secure and Resilient Healthcare Data Processing'
DASFAA 2022   Database Systems for Advanced Applications
DLIS 2022   Deep Learning for IoT Security - Frontiers in Big Data Journal
FAIML 2022   2022 International Conference on Frontiers of Artificial Intelligence and Machine Learning (FAIML 2022)
CMCA 2022   11th International Conference on Control, Modelling, Computing and Applications
FLAIRS-35 ST NN DM 2022   FLAIRS-35 Special Track on Neural Networks and Data Mining