会议信息

SEBD 2019: Italian Symposium on Advanced Database Systems

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截稿日期:
2019-03-18 已截稿
通知日期:
2019-04-20
会议日期:
2019-06-16
会议地点:
Castiglione Della Pescaia, Italy
届数:
27
浏览: 14250   关注: 0   参加: 0
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会伴指数 (CP-I)

50.0 / 100
全站第 1,668 名 / 共 5,759 个会议 · 前 29%

数据挖掘与数据库 第 87 / 339

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
90
社区关注 (10%)
8
资料公开度 (15%)
25

用到的输入: 有据可查的届次：27 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-10-23

征稿

SEBD 2019 (Italian Symposium on Advanced Database Systems) is an academic conference held in Castiglione Della Pescaia, Italy on 2019-06-16. The paper submission deadline is 2019-03-18 (extended). Acceptance notifications are sent on 2019-04-20.

The twenty-seventh edition of the Italian Symposium on Advanced Database Systems (SEBD – Sistemi Evoluti per Basi di Dati) will be jointly organized by ISTI CNR Pisa, Sapienza Università di Roma, Università della Calabria and ICT-SUD Cosenza. It will take place in Castiglione della Pescaia (Grosseto) at Riva del Sole Resort & SPA from 16th to June 19th 2019. The SEBD symposium is the major annual event of the Italian database research community. It is thought as a gathering forum to meet, discuss, and exchange experiences among all people from academy and industry who are interested in database systems and in all their broad range of applications. PhD Session For its 27th edition, SEBD will host a session completely devoted to the next generation of researchers: Ph.D. students. They will be asked to submit a 4 pages paper describing their research which will be presented and discussed during an oral session. There the students will get feedback and suggestions from senior researchers of the SEBD community and have the chance to start new collaborations. TOPICS OF INTEREST The conference covers a broad range of topics, including traditional database management, as well as new challenges for data management in any possible domain. Suggested topics include (but not limited to) the following: Big Data and Smart Computing; Data integration, Heterogeneous and Federated DBMS; Data mining, knowledge discovery, information extraction, and machine learning; Data visualization; Data warehousing; Distributed and parallel databases; Grid, peer-to-peer databases and Cloud Computing; Incompleteness, inconsistency, and uncertainty in databases; Keyword-based access to structured data; Ontology-based data management; Privacy, security and trust management; Query processing and optimization, approximate query answering; Real-time, embedded, sensor, and mobile databases; Scientific and Statistical Databases; Semantic-Web data; Social networks and Graph databases; Transaction and workflow management, interoperability and Web services
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