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SDAI 2019: EAI International Conference on Social Data and Artificial Intelligence

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SDAI
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투고 마감일:
2019-03-15
통보일:
2019-05-15
개최일:
2019-08-07
개최지:
Minneapolis, Minnesota, USA
조회: 14246   팔로우: 0   참가: 0

회반 지수 (CP-I)

42.1 / 100
전체 5,682개 중 4,137위 · 상위 73%

인공지능·기계학습 분야 739개 중 536위

근거가 제한적입니다: 이 학회는 CCF / ICORE / QUALIS 어디에도 수록되어 있지 않고 게재율 데이터도 없어, 점수의 대부분이 중립 기준값으로 되돌아갑니다.
학술적 인정 (35%) 데이터 없음 — 중립 기준값 50점으로 계산 —
투고 선별성 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
개최 횟수 (20%) 데이터 없음 — 중립 기준값 50점으로 계산 —
커뮤니티 관심도 (10%)
8
공개 자료 충실도 (15%)
25

사용한 입력: 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 25% — 점수 중 중립 기준값이 아니라 실제 관측된 데이터에 근거한 비율. 이 점수는 어떻게 계산되나 · 전체 순위 보기 · 알고리즘 버전 1.1 · 산출일 2026-09-18

논문 모집

SDAI 2019 (EAI International Conference on Social Data and Artificial Intelligence) is an academic conference held in Minneapolis, Minnesota, USA on 2019-08-07. The paper submission deadline is 2019-03-15. Acceptance notifications are sent on 2019-05-15.

Scope There are two main themes of the conference A. Social Data and Artificial Intelligence: One of the themes of this conference is to analyze and formulate new perspective of social theories and develop computational algorithms using large scale data sets. The research articles should incorporate different computational algorithms and data analysis techniques to address the problem of inconsistencies, inaccuracies and inadequacies of social data for policy making. The use of advanced artificial intelligence algorithms and technologies is encouraged. B. Social Media Data Analysis in Health: Research suggests that more and more people rely on online sources for health information including symptoms, treatments and general health-related advice. Moreover, the user behaviour currently active on social media demonstrates an openness to share facts related to their current health status. Such data could be used to provide real-time tracking and prediction of the spread of disease and other health concerns, or provide vital information about the effectiveness of the public health awareness strategies of health agencies such as Health Canada, the Centre for Disease Control (CDC) or the World Health Organization (WHO). However, the current understanding of online health data produced through social networks is limited in important ways: (a) existing databases are project specific and data gathering mechanisms are time-constrained; (b) existing health-tracking tools depend on single interfaces such as Facebook, Twitter or Instagram, and (c) there is a lack of capacity for real-time mapping of health issues. Topics Authors are encouraged to submit previously unpublished original papers in the following areas: Social Data inadequacies and inconsistencies Predictive models of social behaviours Infrastructure and architecture for testing social theories Data collection and analysis platforms Relevance of IoT for social science theories Building capacity to continuously collect data across a range of social media networks Real-time tracking and filtering of noisy social media datasets Designing decision-making tools to empower organizations in harnessing social media and AI for their campaigns Cross-validating the predictive models of social media datasets with ground truth data Developing frameworks and algorithms to perform real-time analysis of social media datasets. Publication All registered papers will be submitted for publication by Springer and made available through SpringerLink Digital Library. Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL). Authors of selected best accepted and presented papers will be invited to submit an extended version to Mobile Networks and Applications (MONET) Journal (IF: 2.497) All accepted authors are eligible to submit an extended version in a fast track of: EAI Endorsed Transactions on Security and Safety
최종 수정: Dou Sun ()

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관련 저널

CCF정식 명칭영향력 지수출판사ISSN
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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