View source for SDM 2024

{{Event
|Acronym=SDM 2024
|Title=SIAM International Conference on Data Mining
|Ordinal=24
|Series=SDM
|Type=Conference
|Field=Data Mining
|Start date=2024/04/18
|End date=2024/04/20
|Submission deadline=2023/09/22
|Homepage=https://www.siam.org/conferences/cm/conference/sdm24
|City=Huston
|State=Texas
|Country=USA
|Abstract deadline=2023/09/15
|Paper deadline=2023/09/22
|Workshop deadline=2023/10/06
|Tutorial deadline=2023/10/06
|Notification=December 2023
|Submitting link=https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FSDM2024
|Has host organization=SIAM
|Has coordinator=Na Zou
|has general chair=Shashi Shekhar, Vagelis Papalexakis
|has program chair=Jing Gao, Zhe Jiang
|has workshop chair=Anuj Karpatne, Danai Koutra
|has OC member=Paul A Pavlou
|has tutorial chair=Qi Li
|Has PC member=Xovee Xu
|Attendance fee currency=$
}}
This meeting is sponsored by the SIAM Activity Group on Data Science.
Data mining is the computational process for discovering valuable knowledge from data – the core of Data Science. It has enormous application in numerous fields, including science, engineering, healthcare, business, and medicine. Typical datasets in these fields are large, complex, and often noisy. Extracting knowledge from these datasets requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms, which are based on sound theoretical and statistical foundations. These techniques in turn require implementations on high performance computational infrastructure that are carefully tuned for performance. Powerful visualization technologies along with effective user interfaces are also essential to make data mining tools appealing to researchers, analysts, data scientists and application developers from different disciplines, as well as usable by stakeholders.

This conference provides a venue for researchers who are addressing these problems to present their work in a peer-reviewed forum. It also provides an ideal setting for graduate students to network and get feedback for their work (as part of the doctoral forum). Everyone new to the field can also learn about cutting-edge research by hearing outstanding invited speakers and attending presentations and tutorials (included with conference registration). A set of focused workshops are also scheduled during the conference. The proceedings of the conference are published in archival form and are also made available online.
Abstract deadline	September 15, 2023 +
Acronym	SDM 2024 +
End date	April 20, 2024 +
Event in series	SDM +
Event type	Conference +
Has OC member	Paul A Pavlou +
Has PC member	Xovee Xu +
Has Submitting link	https://cmt3.research.microsoft.com/User/Login?ReturnUrl=/SDM2024 +
Has coordinates	30° 15' 53", -97° 43' 20"Latitude: 30.264672222222 Longitude: -97.722347222222 +
Has coordinator	Na Zou +
Has general chair	Shashi Shekhar + and Vagelis Papalexakis +
Has location city	Huston +
Has location country	Category:USA +
Has location state	Texas +
Has program chair	Jing Gao + and Zhe Jiang +
Has tutorial chair	Qi Li +
Has workshop chair	Anuj Karpatne + and Danai Koutra +
Homepage	https://www.siam.org/conferences/cm/conference/sdm24 +
IsA	Event +
Notification	December 2023 +
Ordinal	24 +
Paper deadline	September 22, 2023 +
Start date	April 18, 2024 +
Submission deadline	September 22, 2023 +
Title	SIAM International Conference on Data Mining +
Tutorial deadline	October 6, 2023 +
Workshop deadline	October 6, 2023 +