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SDS' 2019: Swiss Conference on Data Science

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SDS'
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투고 마감일:
2019-02-15 Extended
통보일:
2019-03-15
개최일:
2019-06-14
개최지:
Bern, Switzerland
개최 횟수:
6
조회: 13198   팔로우: 0   참가: 0

회반 지수 (CP-I)

42.6 / 100
전체 5,687개 중 4,004위 · 상위 71%

데이터 마이닝·데이터베이스 분야 337개 중 240위

학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%)
52
커뮤니티 관심도 (10%)
8
공개 자료 충실도 (15%)
25

사용한 입력: 확인되는 개최 횟수: 6 · 지난 24개월 동안 이 페이지를 연 연구자: 2명

공개 자료에서 빠진 항목: 역대 게재율 (+4.5) · 역대 회차 (+3.0) · 최우수 논문 기록 (+2.3)
주최자는 학회를 인증 신청한 뒤 이 페이지에서 바로 추가할 수 있습니다. 점수는 매일 밤 다시 계산됩니다. 이 점수를 올리는 방법

신뢰도 45% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-25

논문 모집

SDS' 2019 (Swiss Conference on Data Science) is an academic conference held in Bern, Switzerland on 2019-06-14. The paper submission deadline is 2019-02-15 (extended). Acceptance notifications are sent on 2019-03-15.

SDS2019 will have talks in 2 distinct streams of academic and business contributions. The accepted academic paper proceedings will be published in IEEE Xplore digital library. For businesses, talks having business impact and data-driven innovation concepts are invited and will be presented. In addition, do not miss out on the opportunity to submit and present your best work and get the following awards during the conference. Best Paper Award - The programm committee will carefully evaluate the submitted papers according to their originality, contributions to the field, quality of presentation, and soundness of the science and will then select a paper for the best paper award that receives a cash price of CHF 1‘500. Best Presentation Award - The best presentation will be elected through an online voting system that is available for the participants during the conference. Keynote speakers will not be eligible for the best presentation price, which is a cash price of CHF 1‘500. Best Reproducibility Award - This award recognizes the best papers in terms of reproducibility. The criteria include flexibility, coverage, and code replication as well as data availability of the research work. The recipient of this award receives a cash prize of CHF 1‘500. The duration of each talk is 20 minutes + 5 mins Q&A + 5 mins for changing rooms. The duration of each roundtable session is 30 minutes, including the topic introduction (~5 minutes) of the topic leader and 5 mins for changing rooms. Call for Papers - Academic Track (IEEE technically co-sponsored) Topics of interest We invite submissions of original research papers related to all aspects of data science, especially best practice and use-case oriented research work with technical depth and practical applicability. We also highly welcome innovative demos, show-cases, and awesome data products. Topics of interest include (but are not limited to): artificial intelligence and autonomous machines big data mining and analytics data mining applications in healthcare, finance, and industry data ethics and society data integration, governance, and sharing data intelligence and security machine learning natural language processing and analysis predicitive modelling and analytics spatial data analysis techniques and tools for data science user interfaces and data visualization Submission Full Paper – present high-quality research contributions, including experiment, analysis, or system papers, as well as descriptions of industrial and application results. Each submission can have up to 6 pages incl. references. Short Paper – present late-breaking results, work in progress, follow-up extensions, application case studies, or evaluations of existing methods. Each submission can have up to 2 pages incl. references. Roundtable Discussion – intimate, moderated group discussions of current topics important to the field of data science. The objective is to trade ideas and thoughts with other engaged individuals with similar interests and questions. Submissions can have up to 1 page and needs to contain an abstract, a description of the questions or pointers to the controversy of the topic, and a short biography. The duration of each session is 30 minutes, including topic introduction (~5 mins) of the topic leader. All submissions must be original works that have not been published previously in any conference proceedings, magazine, journal, or edited book. Concurrent submissions are strictly forbidden. If it is determined that a manuscript is simultaneously under the consideration by another publication venue, the manuscript will be rejected. Submission of papers implies intention to register and present the related content at the conference. The academic program committee will carefully review the submissions. Excellent content and presentation as demonstrated in the submission are mandatory for acceptance. Accepted submissions will be presented in English by the authors at the conference. Proceedings papers presented at the conference will be submitted for inclusion in the IEEE Xplore digital library. All submissions must be formated by following the following the IEEE 8.5” x 11” two-column format. Call for Participation - Business Track Topics of interest We invite submissions of talks related to all aspects of data science, especially best practice and use-case oriented work with technical depth and practical applicability. Topics of interest include (but are not limited to): business analytics data-driven business models data engineering and architecture data ethics and society machine learning natural language processing organization, collaboration, culture streaming and IoT user interfaces and data visualization Submission Business Talk – presentation covering technological aspects, deployment and use of solutions in Data Science. Submissions should be in pdf format and have a maximum length of 2 pages and contain all of the following elements: a title an extended abstract of no more than 200 words and explaining the business imapact / innovation a description of the target audience an outline of the intended talk a short author biography Roundtable Discussion – intimate, moderated group discussions of current topics important to the field of data science. The objective is to trade ideas and thoughts with other engaged individuals with similar interests and questions. Submissions can have up to 1 page and needs to contain an abstract, a description of the questions or pointers to the controversy of the topic, and a short biography. The duration of each session is 30 minutes, including topic introduction (~5 mins) of the topic leader. The Business Program Committee will carefully review the submissions. Excellent content demonstrating data-driven value creation, business impact and innovation in the submission are mandatory for acceptance. Accepted submissions will be presented in English by the authors at the conference.
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AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536
AIEEE Transactions on Dependable and Secure Computing7.5IEEE1545-5971

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