Submission Deadline: Wednesday 01 Mar 2023
Conference Dates: Aug 28, 2023 - Sep 01, 2023
The conference explores disciplines such as Database, Data mining, Theoretical computer science, Information retrieval and Distributed computing. Database design, SQL, Relational database and Database transaction are Database topics of special interest in the conference. While work presented in the conference provided substantial information on Data mining, it also covered topics in Set (abstract data type), Search engine indexing and Cluster analysis.
Topics in Theoretical computer science were tackled in line with various other fields like Algorithm and Graph. While Information retrieval is the focus of it, it also provided insights into the studies of Schema (psychology) and XML. Many of the studies tackled connect Distributed computing with a similar field of study like Scalability.
Query optimization research presented in it encompasses a variety of subjects, including Web search query, Query by Example, Web query classification and View. The presented research on Web query classification deals specifically with Query expansion but it also addresses topics in Query language. Very Large Data Bases addresses concerns in Query language which are intertwined with other disciplines, such as RDF query language and Sargable.
The most cited papers are mainly concerned with subjects like Data mining, Database, Theoretical computer science, Information retrieval and Scalability. While work presented in the published papers provide substantial information on Data mining, it also covers topics in Tuple, Set (abstract data type) and Search engine indexing, Cluster analysis, Artificial intelligence. The most cited articles with studies in Theoretical computer science featured incorporate elements of Algorithm, Joins and Graph.
The conference mainly deals with areas of study such as Artificial intelligence, Theoretical computer science, Database, Information retrieval and Data mining. The conference explores issues in Artificial intelligence which can be linked to other research areas like Machine learning, Pattern recognition and Natural language processing.
A key indicator for each conference is its effectiveness in reaching other researchers with the papers published at that venue.
The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.
The top authors publishing at Very Large Data Bases (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at Very Large Data Bases (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.
During the most recent 2021 edition, 3.67% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 25.26% were posted by at least one author from the top 10 institutions publishing at the conference. Another 15.22% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 23.53% of all publications and 35.99% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference from year to year.
The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the conference in relation to all participants in a given year.
The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.
Our experience to innovation index was created to show a cross-section of the experience level of authors publishing at a conference. The index includes the authors publishing at the last edition of a conference, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).
The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Oct 10, 2023 - Oct 13, 2023
Stratford & Online, Canada
Deadline: Tuesday 21 Feb 2023
Sep 25, 2023 - Sep 29, 2023
Deadline: Friday 05 May 2023
Sep 05, 2023 - Sep 08, 2023
Deadline: Saturday 18 Mar 2023
Jun 21, 2023 - Jun 23, 2023
Deadline: Wednesday 01 Mar 2023
Oct 16, 2021 - Oct 20, 2021
Sep 05, 2022 - Sep 09, 2022
49th International Conference on Very Large Data Bases
Thank you for information!