ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
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An ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) is an annual ACM Conference in Data Science organized by ACM SIGKDD.
- AKA: KDD Conference, ACM SIGKDD Conference.
- Context:
- It can (typically) include KDD Conference Talks, that address:
- Data Science Research Question, from a theoretical and applied perspective.
- Data Science Applications, ranging from Deployed Data Science Systems through to Emerging Data Science Topics.
- It can publish a KDD Proceeding (of KDD conference papers).
- It can be analyzed by a KDD Conference Paper Analysis Report.
- …
- It can (typically) include KDD Conference Talks, that address:
- Example(s):
- KDD-2026,
- KDD-2025,
- KDD-2024,
- KDD-2023,
- KDD-2022,
- KDD-2021,
- KDD-2020,
- KDD-2019,
- KDD-2018,
- KDD-2017,
- KDD-2016 (in Long Beach, CA).
- KDD-2015 (in Washington, D.C.),
- KDD-2014,
- KDD-2013,
- KDD-2012,
- KDD-2011,
- KDD-2010,
- KDD-2009,
- KDD-2008,
- KDD-2007,
- KDD-2006,
- KDD-2005,
- KDD-2004,
- KDD-2003,
- KDD-2002,
- KDD-2001,
- KDD-2000,
- KDD-1999,
- KDD-1998,
- KDD-1997,
- KDD-1996,
- KDD-1995.
- …
- Counter-Example(s):
- See: Data science Research Conference, SIGKDD Newsletter, ACM TKDD Journal.
References
2020a
- (Wikipedia, 2020) ⇒ https://en.wikipedia.org/wiki/Special_Interest_Group_on_Knowledge_Discovery_and_Data_Mining#Conference_history Retrieved:2020-2-2.
- SIGKDD hosts an annual conference, the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). The KDD Conference grew from KDD (Knowledge Discovery and Data Mining) workshops at AAAI conferences, which were started by Gregory I. Piatetsky-Shapiro in 1989, 1991, and 1993, and Usama Fayyad in 1994. [1] Conference papers of each Proceedings of the SIGKDD International Conference on Knowledge Discovery and Data Mining are published through ACM. KDD is widely considered the most influential forum for knowledge discovery and data mining research. The KDD conference has been held each year since 1995, and SIGKDD became an official ACM Special Interest Group in 1998. Past conference locations are listed on the KDD conference web site. The annual ACM SIGKDD conference is recognized as a flagship venue in the field. Based on statistics provided by independent researcher Lexing Xie in her analysis “Visualizing Citation Patterns of Computer Science Conferences“ as part of the research in Computation Media Lab at Australian National University:
- 4489 papers were published at ACM SIGKDD conference over 22 years between 1994-2015.
- These 4489 papers had received 112570 citations in total across 3033 venues.
- 56% of these 3033 venues are recognized as top 25 venues in the field.
- SIGKDD hosts an annual conference, the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD). The KDD Conference grew from KDD (Knowledge Discovery and Data Mining) workshops at AAAI conferences, which were started by Gregory I. Piatetsky-Shapiro in 1989, 1991, and 1993, and Usama Fayyad in 1994. [1] Conference papers of each Proceedings of the SIGKDD International Conference on Knowledge Discovery and Data Mining are published through ACM. KDD is widely considered the most influential forum for knowledge discovery and data mining research. The KDD conference has been held each year since 1995, and SIGKDD became an official ACM Special Interest Group in 1998. Past conference locations are listed on the KDD conference web site. The annual ACM SIGKDD conference is recognized as a flagship venue in the field. Based on statistics provided by independent researcher Lexing Xie in her analysis “Visualizing Citation Patterns of Computer Science Conferences“ as part of the research in Computation Media Lab at Australian National University:
- The annual conference of ACM SIGKDD has received the highest rating A* from independent organization Computing Research and Education (a.k.a. CORE).
2020b
- (ACM DL, 2020) ⇒ https://dl.acm.org/conference/kdd Retrieved:2020-2-2.
- QUOTE: The annual ACM SIGKDD conference is the premier international forum for data mining researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. The KDD conferences feature keynote presentations, oral paper presentations, poster sessions, workshops, tutorials, panels, exhibits, demonstrations, and the KDD Cup competition.
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2020c
- (MSA, 2020b) ⇒ Microsoft Academic (2002). "KDD: Knowledge Discovery and Data Mining". Retrieved:2020-2-2.
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2020d
- (DBLP, 2020) ⇒ DBLP Computer Science Bibliography (2020). "Knowledge Discovery and Data Mining (KDD)".
2019
- (KDD) ⇒ http://www.kdd.org Retrieved:2019-05-08.
- QUOTE: SIGKDD's mission is to provide the premier forum for advancement, education, and adoption of the "science" of knowledge discovery and data mining from all types of data stored in computers and networks of computers.