Ranking & Metrics Conference Call for Papers Other Conferences in United States
49th International Conference on Very Large Data Bases

49th International Conference on Very Large Data Bases

Vancouver, Canada

Submission Deadline: Wednesday 01 Mar 2023

Conference Dates: Aug 28, 2023 - Sep 01, 2023

Research
Impact Score 3.70

OFFICIAL WEBSITE

Conference Organizers: Deadline extended?
Click here to edit

Ranking & Metrics Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.

Research Impact Score: 3.70
Contributing Best Scientists: 126
H5-index:
Papers published by Best Scientists 155
Research Ranking (Computer Science) 136

Conference Call for Papers

PVLDB welcomes original research papers on a broad range of topics related to all aspects of data management. The themes and topics listed below are intended to serve primarily as indicators of the kinds of data-centric subjects that are of interest to PVLDB – they do not represent an exhaustive list.

Data Mining and Analytics

∟ Data warehousing, OLAP, parallel and distributed data mining

∟ Mining/analysis of different types of data (e.g., scientific/business, social networks, streams, text, web, graphs, rules, patterns, logs, and spatio-temporal)

Data Privacy and Security

∟ Access control and privacy

∟ Blockchain

Database Engines

∟ Access methods

∟ Currency control, recovery, and transactions

∟ Memory and storage management

∟ Multi-core processing and hardware acceleration

∟ Query processing and optimization

∟ Views, indexing, and search

Database Performance and Manageability

∟ Administration and manageability

∟ Tuning, benchmarking, and performance measurement

Distributed Database Systems

∟ Cloud data management, resource management, database as a service

∟ Data networking and content delivery

∟ Distributed analytics

∟ Distributed transactions

Graph and Network Data

∟ Graph data management

∟ Hierarchical, non-relational, and other modern data models

∟ Social networks

Information Integration and Data Quality

∟ Data cleaning, data preparation

∟ Heterogeneous and federated DBMS, metadata management

∟ Knowledge graphs and knowledge management

∟ Schema matching, data integration

∟ Source discovery

∟ Web data management and Semantic Web

Languages

∟ Data models and query languages

∟ Schema management and design

Machine Learning, AI, and Databases

∟ Applied ML and AI for data management

∟ Data management issues and support for ML and AI

Novel Database Architectures

∟ Data management on novel hardware

∟ Embedded and mobile databases

∟ Energy-efficient data systems

∟ Real-time databases, sensors and IoT, stream databases

∟ Video management and analytics systems

Provenance and Workflows

∟ Debugging

∟ Process mining

∟ Profile-based and context-aware data management

∟ Provenance analytics

Specialized and Domain-Specific Data Management

∟ Crowdsourcing

∟ Ethical data management

∟ Fuzzy, probabilistic, and approximate data

∟ Image and multimedia databases

∟ Scientific and medical data management

∟ Spatial and temporal databases

Text and Semi-Structured Data

∟ Data extraction

∟ Information retrieval

∟ Semi-structured data management, RDF

∟ Text in databases

User Interfaces

∟ Data exploration tools

∟ Database support for visual analytics

∟ Database usability

∟ Explainable AI

∟ Interactive querying and visualizatio

Overview

Top Research Topics at Very Large Data Bases?

  • Database (21.06%)
  • Data mining (21.00%)
  • Theoretical computer science (15.66%)

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.

What are the most cited papers published at the conference?

  • Fast algorithms for mining association rules (10046 citations)
  • Fast Algorithms for Mining Association Rules in Large Databases (8992 citations)
  • A survey of approaches to automatic schema matching (3159 citations)

Research areas of the most cited articles at Very Large Data Bases:

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.

What topics the last edition of the conference is best known for?

  • Operating system
  • Artificial intelligence
  • Programming language

The previous edition focused in particular on these issues:

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.

The most cited articles from the last conference are:

  • Analyzing and mitigating data stalls in DNN training (8 citations)
  • Tidy Tuples and Flying Start: fast compilation and fast execution of relational queries in Umbra (7 citations)
  • Fine-grained lineage for safer notebook interactions (6 citations)

Papers citation over time

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.

Research.com

The top authors publishing at Very Large Data Bases (based on the number of publications) are:

  • Divesh Srivastava (81 papers) published 3 papers at the last edition, 1 less than at the previous edition,
  • Lei Chen (74 papers) published 4 papers at the last edition, 7 less than at the previous edition,
  • Xuemin Lin (71 papers) published 8 papers at the last edition, 2 less than at the previous edition,
  • H. V. Jagadish (69 papers) published 2 papers at the last edition, 4 less than at the previous edition,
  • Christian S. Jensen (69 papers) absent at the last edition.

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.

Research.com

Only papers with recognized affiliations are considered

The top affiliations publishing at Very Large Data Bases (based on the number of publications) are:

  • IBM (384 papers) published 4 papers at the last edition, 8 less than at the previous edition,
  • Microsoft (321 papers) published 26 papers at the last edition, 6 more than at the previous edition,
  • National University of Singapore (169 papers) published 6 papers at the last edition, 9 less than at the previous edition,
  • University of Wisconsin-Madison (150 papers) published 5 papers at the last edition, 1 less than at the previous edition,
  • Stanford University (149 papers) published 5 papers at the last edition, 5 less than at the previous edition.

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.

Research.com

Publication chance based on affiliation

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.

Research.com

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.

Returning Authors Index

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.

Research.com

Returning Institution Index

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.

Research.com

The experience to innovation index

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:

  • Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
  • Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
  • Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
  • Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
  • Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

Research.com

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.

Research.com

Other Conferences in Canada

Computer-Human Interaction in Play CHI PLAY 2023

Oct 10, 2023 - Oct 13, 2023

Stratford & Online, Canada

Deadline: Tuesday 21 Feb 2023

4th IEEE International Conference on Autonomic Computing and Self-Organizing Systems

Sep 25, 2023 - Sep 29, 2023

Toronto, Canada

Deadline: Friday 05 May 2023

Previous Editions

47th International Conference on Very Large Data Bases

Oct 16, 2021 - Oct 20, 2021

Copenhagen, Denmark

48th International Conference on Very Large Data Bases

Sep 05, 2022 - Sep 09, 2022

Sydney, Australia

Something went wrong. Please try again later.