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    DSML 2021 - 2nd International Conference on Data Science and Machine Learning

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    Category data Science, Machine Learning,Data Mining , Data Analytics

    Deadline: September 18, 2021 | Date: October 23, 2021-October 24, 2021

    Venue/Country: Sydney, Australia, Australia

    Updated: 2021-09-13 21:08:29 (GMT+9)

    Call For Papers - CFP

    2nd International Conference on Data Science and Machine Learning (DSML 2021)

    October 23 ~ 24, 2021, Sydney, Australia

    Call for Papers

    2nd International Conference on Data Science and Machine Learning (DSML 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Data Science 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 Data Science 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 Science and Machine Learning.

    Topics of interest include, but are not limited to, the following

    Data Mining

     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, ClusteringCryptography and Information security

     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

    Big Data

     Big Data Algorithms

     Big Data Fundamentals

     Infrastructures for Big Data

     Big Data Management and Frameworks

     Big Data Search

     Big Data security

     Big Data Applications

    Data Mining & Machine learning Tasks

     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 September 18, 2021. 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 DSML 2021, after further revisions, will be published in the special issue of the following journal.

     International Journal of Database Management Systems (IJDMS)

     International Journal of Data Mining & Knowledge Management Process (IJDKP)

     Machine Learning and Applications: An International Journal (MLAIJ)

     International Journal of Web & Semantic Technology (IJWesT)

    Important Dates

    Submission Deadline : September 18, 2021

    Authors Notification : October 11, 2021

    Registration & Camera-Ready Paper Due: October 14, 2021

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    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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