会議情報

DMML 2022: International Conference on Data Mining and Machine Learning

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提出日:
2025-02-23 Extended
通知日:
2025-02-23
会議日:
2022-04-23
場所:
Copenhagen, Denmark
年:
3
閲覧: 15123   追跡: 3   出席: 1

論文募集

DMML 2022 (International Conference on Data Mining and Machine Learning) is an academic conference held in Copenhagen, Denmark on 2022-04-23. The paper submission deadline is 2025-02-23 (extended). Acceptance notifications are sent on 2025-02-23.

3rd International Conference on Data Mining & Machine Learning (DMML 2022) April 23~24, 2022, Copenhagen, Denmark https://www.necom2022.org/dmml/index Scope & Topics 3rd International Conference on Data Mining & Machine Learning (DMML 2022) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Mining and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in Data Mining and Machine Learning. Topics of interest include, but are not limited to, the following: Data mining foundations • Parallel and Distributed Data Mining Algorithms • Data Streams Mining • Graph Mining • Spatial Data Mining • Text video • Multimedia Data Mining • Web Mining • Pre-Processing Techniques • Visualization • Security and Information Hiding in Data Mining Data mining Applications • Databases • Bioinformatics • Biometrics • Image Analysis • Financial Modeling • Forecasting • Classification • Clustering • Social Networks • Educational Data Mining Knowledge Processing • Data and Knowledge Representation • Knowledge Discovery Framework and Process • Including Pre- and Post-Processing • Integration of Data Warehousing • OLAP and Data Mining • Integrating Constraints and Knowledge in the KDD Process • Exploring Data Analysis • Inference of Causes • Prediction • Evaluating • Consolidating and Explaining Discovered Knowledge • Statistical Techniques for Generation a Robust • Consistent Data Model • Interactive Data Exploration/Visualization and Discovery • Languages and Interfaces for Data Mining • Mining Trends, Opportunities and Risks • Mining from Low-Quality Information Sources Machine learning • Machine Learning Applications • Learning in knowledge-intensive systems • Learning Methods and analysis • Learning Problems • Deep Learning Paper Submission Authors are invited to submit papers through the conference Submission System by April 09 ,2022. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from DMML 2022, after further revisions, will be published in the special issue of the following journal. • International Journal of Data Mining & Knowledge Management Process (IJDKP) • International Journal of Database Management Systems (IJDMS) • Machine Learning and Applications: An International Journal (MLAIJ) • International Journal of Web & Semantic Technology (IJWesT) • Advances in Vision Computing: An International Journal (AVC) Important Dates Third Batch : (Submissions after March 26, 2022) • Submission Deadline : April 09 ,2022 • Authors Notification : April 18,2022 • Registration & Camera-Ready Paper Due : April 20 ,2022 Contact Us Here’s where you can reach us : dmml@necom2022.org (or) dmmlconf@yahoo.com
最終更新 Vincent Abad

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関連仕訳帳

CCF完全な名前インパクト ・ ファクター出版社ISSN
bMachine Learning2.9Springer0885-6125
bIEEE Transactions on Multimedia9.7IEEE1520-9210
cKnowledge-Based Systems7.2Elsevier0950-7051
bSoftware & Systems Modeling3.2Springer1619-1366
aIEEE Transactions on Computers3.8IEEE0018-9340
cFuture Generation Computer Systems6.1Elsevier0167-739X
cNeurocomputing6.5Elsevier0925-2312
cPattern Recognition Letters3.9Elsevier0167-8655
IEEE Access3.6IEEE2169-3536
bPattern Recognition7.6Elsevier0031-3203

出席者時間
Jing Chen (102)2022
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