会議情報

AusDM 2020: Australasian Data Mining Conference

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提出日:
2020-08-07
通知日:
2020-09-04
会議日:
2020-12-02
場所:
Adelaide, Australia
年:
18
閲覧: 19308   追跡: 2   出席: 0

論文募集

AusDM 2020 (Australasian Data Mining Conference) is an academic conference held in Adelaide, Australia on 2020-12-02. The paper submission deadline is 2020-08-07. Acceptance notifications are sent on 2020-09-04.

The Australasian Data Mining Conference has established itself as the premier Australasian meeting for both practitioners and researchers in data mining. It is devoted to the art and science of intelligent analysis of (usually big) data sets for meaningful (and previously unknown) insights. This conference will enable the sharing and learning of research and progress in the local context and new breakthroughs in data mining algorithms and their applications across all industries. Since AusDM’02 the conference has showcased research in data mining, providing a forum for presenting and discussing the latest research and developments. Built on this tradition, AusDM’20 will facilitate the cross-disciplinary exchange of ideas, experience and potential research directions. Specifically, the conference seeks to showcase: Research Prototypes; Industry Case Studies; Practical Analytics Technology; and Research Student Projects. AusDM’20 will be a meeting place for pushing forward the frontiers of data mining in academia and industry. In this year, AusDM is pleased to be co-located with the 2020 IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2020) in Canberra, Australia. AusDM invites contributions addressing current research in data mining and knowledge discovery as well as experiences, novel applications and future challenges. Topics of interest include, but are not restricted to: Applications and Case Studies — Lessons and Experiences Big Data Analytics Biomedical and Health Data Mining Business Analytics Computational Aspects of Data Mining Data Integration, Matching and Linkage Data Mining Education Data Mining in Security and Surveillance Data Preparation, Cleaning and Preprocessing Data Stream Mining Evaluation of Results and their Communication Implementations of Data Mining in Industry Integrating Domain Knowledge Link, Tree, Graph, Network and Process Mining Multimedia Data Mining New Data Mining Algorithms Professional Challenges in Data Mining Privacy-preserving Data Mining Spatial and Temporal Data Mining Text Mining Visual Analytics Web and Social Network Mining AusDM'20 will feature two types of papers: Theoretical and Applied Research Track: Submissions from academia and practitioners reporting on new algorithms, novel approaches, research progress, applications of data mining and machine learning in the real world. Submissions in this category will be reviewed using the IEEE SSCI paper management system, with accepted papers appearing in the IEEE SSCI 2020 proceedings. Instructions for authors are the same as other IEEE SSCI 2020 papers. Industry Showcase Track: Submissions from governments and industry on an analytics solution that has raised profits, reduced costs and/or achieved other important policy and/or business outcomes can be made in this track with a paper length between 4 and 6 pages IEEE style. Papers from this track will be handled independently and will appear in a booklet to be handed out to participants.
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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
Australasian Journal of Engineering EducationTaylor & Francis1325-4340
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

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