Analyzing the research landscape of DaWaK papers from 1999 to 2019

Tatsawan Timakum, Soobin Lee, Il Yeol Song, Min Song

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The International Conference on Big Data Analytics and Knowledge Discovery (DaWaK) has become a key conduit to exchange experience and knowledge among researchers and practitioners in the field of data warehousing and knowledge discovery. This study has quantitatively analyzed the 775 papers published in DaWaK from 1999 to 2019. This study presents the knowledge structure of the DaWaK papers and identifies the evolution of research topics in this discipline. Several text mining techniques were applied to analyze the contents of the research fields and to structure the knowledge presented at DaWaK. Dirichlet Multinomial Regression (DMR) is used to examine the trend of the research topics. Research metrics were used to identify conference and paper performance in terms of citation counts, readers, and the number of downloads. The study shows that DaWaK research outcomes have been receiving consistent attention from the scholarly community in the past 21 years. The 775 papers were cited by 4,339 times, marking the average number of citations of each proceeding as 207 times, and the average number of citations per published paper as six times.

Original languageEnglish
Title of host publicationBig Data Analytics and Knowledge Discovery - 22nd International Conference, DaWaK 2020, Proceedings
EditorsMin Song, Il-Yeol Song, Gabriele Kotsis, Ismail Khalil, A Min Tjoa
PublisherSpringer Science and Business Media Deutschland GmbH
Pages3-13
Number of pages11
ISBN (Print)9783030590642
DOIs
Publication statusPublished - 2020
Event22nd International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2020 - Bratislava, Slovakia
Duration: 2020 Sep 142020 Sep 17

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12393 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2020
CountrySlovakia
CityBratislava
Period20/9/1420/9/17

Bibliographical note

Funding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. NRF-2019R1A2C2002577).

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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