KDD 2020 Opens Name for Analysis and Utilized Information Science Paper Submissions
SAN DIEGO, Dec. 3, 2019—The Association for Computing Machinery’s (ACM) Particular Curiosity Group on Data Discovery and Information Mining (SIGKDD) immediately introduced that KDD 2020, the premier interdisciplinary convention in information science, has opened the decision for papers in each its analysis and utilized information science tracks. KDD 2020 welcomes submissions on all features of data discovery and information mining, from theoretical analysis on rising subjects to papers describing the design and implementation of programs for sensible duties. Matters of curiosity embrace synthetic intelligence, huge information, information analytics, information science, information mining, deep studying, data graphs, machine studying, relational databases and statistical strategies.
KDD 2020 is a dual-track convention, providing distinct programming in analysis and utilized information science. The analysis observe highlights revolutionary contributions to analysis in huge information, information science and foundations, spanning theoretical foundations to novel fashions and algorithms for information mining challenges in enterprise, engineering, medication, science and extra. The utilized information science observe focuses on the appliance of information mining, machine studying and statistics in addressing real-world challenges and enterprise programs with a tangible influence on industries, authorities initiatives and social applications. Key dates for functions in each tracks embrace:
- Submission Deadline: February 13, 2020
- Notification of Choice: Might 15, 2020
- KDD 2020 in San Diego: Aug. 22-27, 2020
All papers submitted to KDD 2020 are reviewed by an all-volunteer group of greater than 800 information science professionals. This yr, Heng Huang, professor of electrical and pc engineering and biomedical informatics at College of Pittsburgh, and Wei Wang, professor of pc science and computational medication at College of California Los Angeles, will lead the overview course of as the analysis observe chairs. Suju Rajan, senior director of synthetic intelligence at LinkedIn; Mohak Shah, vice chairman of synthetic intelligence and machine studying at LG Electronics; and Yangqing Jia, vice chairman of engineering at Alibaba Group, will function chairs of the utilized information science observe.
In 2019, a document 1,808 papers from 7,966 authors at 1,200 organizations throughout 58 international locations have been submitted for KDD convention consideration. Sustaining its standing as a extremely selective showcase of the area’s greatest work, simply 321 papers, or 17%, have been accepted for publication. As information science continues to drive transformation all through society, elevated curiosity within the convention highlights the depth, breadth and influence of innovation in data discovery and information mining.
About ACM SIGKDD:
ACM is the premier world skilled group for researchers and professionals devoted to the development of the science and apply of data discovery and information mining. SIGKDD is ACM’s Particular Curiosity Group on Data Discovery and Information Mining. The annual KDD Worldwide Convention on Data Discovery and Information Mining is the premier interdisciplinary convention for information mining, information science and analytics.
Havas Formulation for KDD 2020