Seattle, United States
Submission Deadline: Monday 28 Nov 2022
Conference Dates: Jun 18, 2023 - Jun 23, 2023
Symposium on Principles of Database Systems investigates studies in Theoretical computer science, Discrete mathematics, Database, Conjunctive query and Programming language. The studies on Theoretical computer science discussed can also contribute to research in the domains of Set (abstract data type), Query language, Relational database, Query optimization and Algorithm. The event facilitates discussions on Query language that incorporate concepts from other fields like Spatial query and RDF query language.
The conference explores topics in Query optimization which can be helpful for research in disciplines like Query expansion, Web query classification and Sargable. Discrete mathematics research presented in the conference encompasses a variety of subjects, including Bounded function and Combinatorics. Topics like Database theory and Database schema are tackled as part of the discussions on Database.
The concepts on Conjunctive query presented in Symposium on Principles of Database Systems can also apply to other research fields, including Tuple and Boolean conjunctive query. More specifically, the research on Programming language in Symposium on Principles of Database Systems is related to Datalog.
Theoretical computer science, Data mining, Information retrieval, Programming language and Query language are the main subjects of interest in the conference articles. While Theoretical computer science is the focus of the conference papers, it also provides insights into the studies of Discrete mathematics, Set (abstract data type), Query optimization, Algorithm and Conjunctive query. The featured Query language studies in the conference papers mainly concentrate on Spatial query but also cover areas of interest in Online aggregation.
The discussions in the conference mainly cover the fields of Discrete mathematics, Theoretical computer science, Conjunctive query, Set (abstract data type) and Upper and lower bounds. It addresses concerns in Discrete mathematics which are intertwined with other disciplines, such as Estimator, Streaming algorithm, Bounded function, Dimensionality reduction and Euclidean distance. In addition to Theoretical computer science research, Symposium on Principles of Database Systems aims to explore topics under Context (language use), Computational complexity theory, Time complexity, Relational database and Computation.
The studies in Conjunctive query featured incorporate elements of Boolean conjunctive query, Decidability, Data complexity, Class (set theory) and Data structure. The work on Set (abstract data type) tackled in the conference brings together disciplines like Data mining, Partition (database), Data management, Data processing and Regular grid. The study of Matching (graph theory) and how it intertwines with concepts under Polynomial, Function (mathematics), Constant (mathematics) and Sample (statistics) were explored in the presented Upper and lower bounds research.
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 Symposium on Principles of Database Systems (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 Symposium on Principles of Database Systems (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, 3.03% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 18.75% were posted by at least one author from the top 10 institutions publishing at the conference. Another 21.88% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 31.25% of all publications and 28.12% 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.
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