skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Attention:

The NSF Public Access Repository (PAR) system and access will be unavailable from 10:00 PM ET on Friday, February 6 until 10:00 AM ET on Saturday, February 7 due to maintenance. We apologize for the inconvenience.


Title: IEEE International Conference on Data Mining, ICDM 2024, Abu Dhabi, UAE, December 9-12, 2024.
Award ID(s):
2440725
PAR ID:
10635574
Author(s) / Creator(s):
; ; ; ; ; ; ;
Publisher / Repository:
IEEE
Date Published:
ISBN:
979-8-3315-0668-1
Page Range / eLocation ID:
xxii to xxiii
Format(s):
Medium: X
Location:
Abu Dhabi, United Arab Emirates
Sponsoring Org:
National Science Foundation
More Like this
  1. These are the Gateways 2024 proceedings and all accepted submissions. 
    more » « less
  2. GPS Dataset for campaign observations at HYDP 
    more » « less
  3. ABSTRACT Seismic tomography is the most abundant source of information about the internal structure of the Earth at scales ranging from a few meters to thousands of kilometers. It constrains the properties of active volcanoes, earthquake fault zones, deep reservoirs and storage sites, glaciers and ice sheets, or the entire globe. It contributes to outstanding societal problems related to natural hazards, resource exploration, underground storage, and many more. The recent advances in seismic tomography are being translated to nondestructive testing, medical ultrasound, and helioseismology. Nearly 50 yr after its first successful applications, this article offers a snapshot of modern seismic tomography. Focused on major challenges and particularly promising research directions, it is intended to guide both Earth science professionals and early-career scientists. The individual contributions by the coauthors provide diverse perspectives on topics that may at first seem disconnected but are closely tied together by a few coherent threads: multiparameter inversion for properties related to dynamic processes, data quality, and geographic coverage, uncertainty quantification that is useful for geologic interpretation, new formulations of tomographic inverse problems that address concrete geologic questions more directly, and the presentation and quantitative comparison of tomographic models. It remains to be seen which of these problems will be considered solved, solved to some extent, or practically unsolvable over the next decade. 
    more » « less
  4. Keystroke data collected from CS1 student participants during spring 2024 semester at Utah State University. See readme.txt for detailed information. This dataset has undergone deidentification, though it is possible, being a complex, temporal, and ephemeral dataset, that identifying keystrokes may have been missed. Ethical use of this dataset includes avoiding attempts at reconstructing identities. That said, if researchers discover anything identifiable in the data, they are encouraged to contact the dataset authors (john.edwards@usu.edu). 
    more » « less