{"id":281,"date":"2021-06-21T08:25:12","date_gmt":"2021-06-21T07:25:12","guid":{"rendered":"https:\/\/toshareproject.it\/artmakerblog\/?p=281"},"modified":"2021-06-21T08:25:12","modified_gmt":"2021-06-21T07:25:12","slug":"the-international-conference-on-machine-learning-and-data-mining-for-2022","status":"publish","type":"post","link":"https:\/\/toshareproject.it\/artmakerblog\/the-international-conference-on-machine-learning-and-data-mining-for-2022\/","title":{"rendered":"The International Conference on Machine Learning and Data Mining for 2022"},"content":{"rendered":"
<\/div>\n
<\/div>\n
*I particularly enjoy these lists of suggested conference topics. \u00a0I have no intention of going to this conference, but these lists convey a stellar overview of what the organizers think is going on.<\/div>\n
<\/div>\n
“Special preference will be given to multimedia related applications,” because everybody wants to become Hollywood.<\/div>\n
<\/div>\n
*Also, it’s easy to toss a blanket term like “machine \u00a0learning,” but just look at that variety of computer-science sub-disciplines.<\/div>\n
<\/div>\n
2nd Call MLDM 2022 Intern. Conference on Machine Learning and Data Mining New July York\/USA<\/strong><\/div>\n
<\/div>\n
Dear colleagues,<\/strong><\/div>\n
We would like to invite you to participate in the 18th International Conference on Machine Learning and Data Mining.<\/strong><\/div>\n
<\/div>\n
Deadline for paper submission is January 15, 2022.<\/strong><\/div>\n
<\/div>\n
For more information please check the website www.mldm.de.<\/strong><\/div>\n
Sincerely yours,<\/strong><\/div>\n
Prof. Dr. Petra Perner<\/strong><\/div>\n
Chair<\/strong><\/div>\n
<\/div>\n
International Conference on Machine Learning and Data Mining MLDM 2022<\/strong><\/div>\n
www.mldm.de<\/strong><\/div>\n
New York, July 16-21, 2022<\/strong><\/div>\n
<\/div>\n
The Aim of the Conference<\/strong><\/div>\n
<\/div>\n
The aim of the conference is to bring together researchers from all over the world<\/strong><\/div>\n
who deal with machine learning and data mining in order to discuss the recent status<\/strong><\/div>\n
of the research and to direct further developments. Basic research papers as well as<\/strong><\/div>\n
application papers are welcome.<\/strong><\/div>\n
<\/div>\n
Topics of the conference<\/strong><\/div>\n
<\/div>\n
All kinds of applications are welcome but special preference will be given to multimedia\u00a0<\/strong>related applications, applications from live sciences and webmining.<\/strong><\/div>\n
<\/div>\n
Paper submissions should be related but not limited to any of the following topics:<\/strong><\/div>\n
<\/div>\n
\u2022association rules<\/strong><\/div>\n
\u2022case-based reasoning and learning<\/strong><\/div>\n
\u2022classification and interpretation of images, text, video<\/strong><\/div>\n
\u2022conceptional learning and clustering<\/strong><\/div>\n
\u2022Goodness measures and evaluaion (e.g. false discovery rates)<\/strong><\/div>\n
\u2022inductive learning including decision tree and rule induction learning<\/strong><\/div>\n
\u2022knowledge extraction from text, video, signals and images<\/strong><\/div>\n
\u2022mining gene data bases and biological data bases<\/strong><\/div>\n
\u2022mining images, temporal-spatial data, images from remote sensing<\/strong><\/div>\n
\u2022mining structural representations such as log files, text documents and HTML documents<\/strong><\/div>\n
\u2022mining text documents<\/strong><\/div>\n
\u2022organisational learning and evolutional learning<\/strong><\/div>\n
\u2022probabilistic information retrieval<\/strong><\/div>\n
\u2022Sampling methods<\/strong><\/div>\n
\u2022Selection with small samples<\/strong><\/div>\n
\u2022similarity measures and learning of similarity<\/strong><\/div>\n
\u2022statistical learning and neural net based learning<\/strong><\/div>\n
\u2022video mining<\/strong><\/div>\n
\u2022visualization and data mining<\/strong><\/div>\n
\u2022Applications of Clustering<\/strong><\/div>\n
\u2022Aspects of Data Mining<\/strong><\/div>\n
\u2022Applications in Medicine<\/strong><\/div>\n
\u2022Autoamtic Semantic Annotation of Media Content<\/strong><\/div>\n
\u2022Bayesian Models and Methods<\/strong><\/div>\n
\u2022Case-Based Reasoning and Associative Memory<\/strong><\/div>\n
\u2022Classification and Model Estimation<\/strong><\/div>\n
\u2022Content-Based Image Retrieval<\/strong><\/div>\n
\u2022Decision Trees<\/strong><\/div>\n
\u2022Deviation and Novelty Detection<\/strong><\/div>\n
\u2022Feature Grouping, Discretization, Selection and Transformation<\/strong><\/div>\n
\u2022Feature Learning<\/strong><\/div>\n
\u2022Frequent Pattern Mining<\/strong><\/div>\n
\u2022High-Content Analysis of Microscopic Images in Medicine, Biotechnology and Chemistry<\/strong><\/div>\n
\u2022Learning and adaptive control<\/strong><\/div>\n
\u2022Learning\/adaption of recognition and perception<\/strong><\/div>\n
\u2022Learning for Handwriting Recognition<\/strong><\/div>\n
\u2022Learning in Image Pre-Processing and Segmentation<\/strong><\/div>\n
\u2022Learning in process automation<\/strong><\/div>\n
\u2022Learning of internal representations and models<\/strong><\/div>\n
\u2022Learning of appropriate behaviour<\/strong><\/div>\n
\u2022Learning of action patterns<\/strong><\/div>\n
\u2022Learning of Ontologies<\/strong><\/div>\n
\u2022Learning of Semantic Inferencing Rules<\/strong><\/div>\n
\u2022Learning of Visual Ontologies<\/strong><\/div>\n
\u2022Learning robots<\/strong><\/div>\n
\u2022Mining Images in Computer Vision<\/strong><\/div>\n
\u2022Mining Images and Texture<\/strong><\/div>\n
\u2022Mining Motion from Sequence<\/strong><\/div>\n
\u2022Neural Methods<\/strong><\/div>\n
\u2022Network Analysis and Intrusion Detection<\/strong><\/div>\n
\u2022Nonlinear Function Learning and Neural Net Based Learning<\/strong><\/div>\n
\u2022Real-Time Event Learning and Detection<\/strong><\/div>\n
\u2022Retrieval Methods<\/strong><\/div>\n
\u2022Rule Induction and Grammars<\/strong><\/div>\n
\u2022Speech Analysis<\/strong><\/div>\n
\u2022Statistical and Conceptual Clustering Methods<\/strong><\/div>\n
\u2022Statistical and Evolutionary Learning<\/strong><\/div>\n
\u2022Subspace Methods<\/strong><\/div>\n
\u2022Support Vector Machines<\/strong><\/div>\n
\u2022Symbolic Learning and Neural Networks in Document Processing<\/strong><\/div>\n
\u2022Time Series and Sequential Pattern Mining<\/strong><\/div>\n
\u2022Audio Mining<\/strong><\/div>\n
\u2022Cognition and Computer Vision<\/strong><\/div>\n
\u2022Clustering<\/strong><\/div>\n
\u2022Classification & Prediction<\/strong><\/div>\n
\u2022Statistical Learning<\/strong><\/div>\n
\u2022Association Rules<\/strong><\/div>\n
\u2022Telecommunication<\/strong><\/div>\n
\u2022Design of Experiment<\/strong><\/div>\n
\u2022Strategy of Experimentation<\/strong><\/div>\n
\u2022Capability Indices<\/strong><\/div>\n
\u2022Deviation and Novelty Detection<\/strong><\/div>\n
\u2022Control Charts<\/strong><\/div>\n
\u2022Design of Experiments<\/strong><\/div>\n
\u2022Capability Indices<\/strong><\/div>\n
\u2022Conceptional Learning<\/strong><\/div>\n
\u2022Goodness Measures and Evaluation (e.g. false discovery rates)<\/strong><\/div>\n
\u2022Inductive Learning Including Decision Tree and Rule Induction Learning<\/strong><\/div>\n
\u2022Organisational Learning and Evolutional Learning<\/strong><\/div>\n
\u2022Sampling Methods<\/strong><\/div>\n
\u2022Similarity Measures and Learning of Similarity<\/strong><\/div>\n
\u2022Statistical Learning and Neural Net Based Learning<\/strong><\/div>\n
\u2022Visualization and Data Mining<\/strong><\/div>\n
\u2022Deviation and Novelty Detection<\/strong><\/div>\n
\u2022Feature Grouping, Discretization, Selection and Transformation<\/strong><\/div>\n
\u2022Feature Learning<\/strong><\/div>\n
\u2022Frequent Pattern Mining<\/strong><\/div>\n
\u2022Learning and Adaptive Control<\/strong><\/div>\n
\u2022Learning\/Adaption of Recognition and Perception<\/strong><\/div>\n
\u2022Learning for Handwriting Recognition<\/strong><\/div>\n
\u2022Learning in Image Pre-Processing and Segmentation<\/strong><\/div>\n
\u2022Mining Financial or Stockmarket Data<\/strong><\/div>\n
\u2022Mining Motion from Sequence<\/strong><\/div>\n
\u2022Subspace Methods<\/strong><\/div>\n
\u2022Support Vector Machines<\/strong><\/div>\n
\u2022Time Series and Sequential Pattern Mining<\/strong><\/div>\n
\u2022Desirabilities<\/strong><\/div>\n
\u2022Graph Mining<\/strong><\/div>\n
\u2022Agent Data Mining<\/strong><\/div>\n
\u2022Applications in Software Testing<\/strong><\/div>\n
<\/div>\n
\u00a0Authors can submit their paper in long or short version.<\/strong><\/div>\n
<\/div>\n
Long Paper<\/strong><\/div>\n
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.<\/strong><\/div>\n
<\/div>\n
Short Paper<\/strong><\/div>\n
<\/div>\n
Short papers are also welcome and can be used to describe work in progress or project ideas.<\/strong><\/div>\n
<\/div>\n
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.<\/strong><\/div>\n
<\/div>\n
Deadline of Paper Submission is January 15, 2022<\/strong><\/div>\n","protected":false},"excerpt":{"rendered":"

*I particularly enjoy these lists of suggested conference topics. \u00a0I have no intention of going to this conference, but these lists convey a stellar overview of what the organizers think is going on. “Special preference will be given to multimedia related applications,” because everybody wants to become Hollywood. *Also, it’s easy to toss a blanket […]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-281","post","type-post","status-publish","format-standard","hentry","category-uncategorised"],"yoast_head":"\nThe International Conference on Machine Learning and Data Mining for 2022 | Artmaker Blog<\/title>\n<meta name=\"description\" content=\"The International Conference on Machine Learning and Data Mining for 2022 | Artmaker Blog\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/toshareproject.it\/artmakerblog\/the-international-conference-on-machine-learning-and-data-mining-for-2022\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The International Conference on Machine Learning and Data Mining for 2022 | Artmaker Blog\" \/>\n<meta property=\"og:description\" content=\"The International Conference on Machine Learning and Data Mining for 2022 | Artmaker Blog\" \/>\n<meta property=\"og:url\" content=\"https:\/\/toshareproject.it\/artmakerblog\/the-international-conference-on-machine-learning-and-data-mining-for-2022\/\" \/>\n<meta property=\"og:site_name\" content=\"Artmaker Blog\" \/>\n<meta property=\"article:published_time\" content=\"2021-06-21T07:25:12+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Bruce Sterling\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimated reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"4 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebSite\",\"@id\":\"https:\/\/toshareproject.it\/artmakerblog\/#website\",\"url\":\"https:\/\/toshareproject.it\/artmakerblog\/\",\"name\":\"Artmaker Blog\",\"description\":\"on Toshareproject.it - 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