Results 231 to 240 of about 25,068,707 (300)

Digging Deep into the Data Mine with DataMiningGrid

IEEE Internet Computing, 2008
As modern data mining applications increase in complexity, so too do their demands for resources. Grid computing is one of several emerging networked computing paradigms promising to meet the requirements of heterogeneous, large-scale, and distributed data mining applications.
Vlado Stankovski, Martin T. Swain, Valentin Kravtsov, Thomas Niessen, Dennis Wegener, M. Rohm, Jernej Trnkoczy, Michael May 0001, Jürgen Franke 0003, Assaf Schuster, Werner Dubitzky   +10 more
openaire   +2 more sources

Digging into data with graphics

Teaching Statistics, 2011
AbstractData from a cough challenge study are displayed with dot charts to demonstrate the importance of graphs in understanding data, principles of graph construction and visual perception. The data are available for use in the classroom.
Thomas E. Bradstreet, John S. Palcza
openaire   +1 more source

A shaking table-based experimental study of seismic response of shield-enlarge-dig type's underground subway station in liquefiable ground

, 2021
In instances where earthquakes with large magnitude occur, liquefaction-induced lateral deformation of ground has caused thorough destruction to the underground structure of urban rail transit.
Jun-Beom An, L. Tao, L. Jiang, Hong-Hong Yan   +3 more
semanticscholar   +1 more source

The challenges of digging data

Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries, 2013
Field archaeology only recently developed centralized systems for data curation, management, and reuse. Data documentation guidelines, standards, and ontologies have yet to see wide adoption in this discipline. Moreover, repository practices have focused on supporting data collection, deposit, discovery, and access more than data reuse.
Ixchel M. Faniel, Eric Kansa, Sarah Whitcher Kansa, Julianna Barrera-Gomez, Elizabeth Yakel   +4 more
openaire   +1 more source

Digging for data on harms in duloxetine trials

BMJ, 2014
It’s time for policy makers to get serious about drug related harms The biomedical research enterprise devotes enormous amounts of time and money to determining how well a medicine works. By contrast, few resources focus on discovering the harms a given drug may cause. Undoubtedly, this is in part because we all—patients, doctors, even drug regulators—
Peter, Doshi, Julie, Zito, Susan, dosReis   +2 more
openaire   +2 more sources

G-DIG: Towards Gradient-based DIverse and hiGh-quality Instruction Data Selection for Machine Translation

Annual Meeting of the Association for Computational Linguistics
Large Language Models (LLMs) have demonstrated remarkable abilities in general scenarios. Instruction finetuning empowers them to align with humans in various tasks.
Xingyuan Pan, Luyang Huang, Liyan Kang, Zhicheng Liu, Yu Lu, Shanbo Cheng   +5 more
semanticscholar   +1 more source

Digging into Construction Data

Business Economics, 2005
Construction is a large, diverse, and–lately–fast-growing sector of the U.S. economy, comprising several distinct categories of activity. Construction accounts for roughly five percent of non-farm payroll employment and 12 percent of selfemployment. The value of construction put in place totals eight percent of GDP; construction supplies and equipment ...
openaire   +2 more sources

DIG into Data for the Biology Classroom

2018
Session presentation on ecological data-centric teaching modules at the 2018 QUBES/BioQUEST Summer ...
Bonner, Kaitlin, Fleming-Davies, Arietta, Grayson, Kristine, Hernández-Pacheco, Raisa   +3 more
openaire   +2 more sources

DIG-Mol: A Contrastive Dual-Interaction Graph Neural Network for Molecular Property Prediction

IEEE journal of biomedical and health informatics
Molecular property prediction is a key component of AI-driven drug discovery and molecular characterization learning. Despite recent advances, existing methods still face challenges such as limited ability to generalize, and inadequate representation of ...
Zexing Zhao, Guangsi Shi, Xiaopeng Wu, Ruohua Ren, Xiaojun Gao, Fuyi Li   +5 more
semanticscholar   +1 more source

The role of the data coordinating center in the DIG trial

Controlled Clinical Trials, 2003
The Digitalis Investigation Group (DIG) trial was a large simple trial (LST) begun in 1990 as a collaboration between the National Heart, Lung, and Blood Institute and the Department of Veterans Affairs (VA) Cooperative Studies Program (CSP). Its primary objective was to determine whether digitalis had beneficial, harmful, or no effect on total ...
William O Williford, Joseph F Collins, Anne Horney, Gail Kirk, Frances McSherry, Elizabeth Spence, Susan Stinnett, Cindy L Howell, Rekha Garg, Debra Egan, Salim Yusuf, null on behalf of the DIG Investigators   +11 more
openaire   +2 more sources