This past semester I’ve been working three separate big data projects while on sabbatical. This talk will highlight the activities and some preliminary outcomes. The projects are: Lake Michigan Wind Assessment, data quality and modeling with dozens of variables collected once a second for roughly 9 months each during 2012 and 2013. Meijer Marketing Analytics, working with trillions of transactions and hundreds of variables using SAS and SQL on their new Teradata high performance computational facilities. Empirical Spectral Test, collaborative research with WMU Computer Science and Statistics faculty using multidimensional spatial Fast Fourier Transforms in R on our analytics server and at the WMU High Performance Computational Science Labor...
Big Data analysis is of great challenges in practice. The data set sizes will grow quickly. And anal...
This study is undertaken to assess the computational and storage needs for a large-scale research ac...
This manuscript presents a data quality analysis and holistic ‘machine learning-readiness...
This past semester I’ve been working three separate big data projects while on sabbatical. This talk...
"講演者所属: Wichita State University, Kansas, USA講演日: 2020年1月14日 講演場所: エーアイ大講義室(L1)The talk starts with...
Presented on September 6, 2016 from 1:00 p.m.-2:30 p.m. at the Klaus Advanced Computing Building, Ro...
Presented on September 6, 2016 at the Klaus Advanced Computing Building, Room 1116W, Georgia Institu...
These slides support the oral presentations of Gordon Springer and Prasad Calyam delivered at Cyberi...
Using a hybrid approach of statistical modeling and high performance computing enables statistical m...
ABSTRACT: The goal of this study is to highlight the skills that students could gain from experienc...
of Informatics and Computing, and Physics at Indiana University. He has supervised the PhD of 65 stu...
Biography Keith Brewster is a Senior Research Scientist at the Center for Analysis and Prediction...
This open access book surveys the progress in addressing selected challenges related to the growth o...
We are pleased to present the report on the 30th Fall Meeting of the working group ``Data Analysis a...
These slides support the oral presentation delivered October 10, 2013 by Kevin Haar, Michael Groner ...
Big Data analysis is of great challenges in practice. The data set sizes will grow quickly. And anal...
This study is undertaken to assess the computational and storage needs for a large-scale research ac...
This manuscript presents a data quality analysis and holistic ‘machine learning-readiness...
This past semester I’ve been working three separate big data projects while on sabbatical. This talk...
"講演者所属: Wichita State University, Kansas, USA講演日: 2020年1月14日 講演場所: エーアイ大講義室(L1)The talk starts with...
Presented on September 6, 2016 from 1:00 p.m.-2:30 p.m. at the Klaus Advanced Computing Building, Ro...
Presented on September 6, 2016 at the Klaus Advanced Computing Building, Room 1116W, Georgia Institu...
These slides support the oral presentations of Gordon Springer and Prasad Calyam delivered at Cyberi...
Using a hybrid approach of statistical modeling and high performance computing enables statistical m...
ABSTRACT: The goal of this study is to highlight the skills that students could gain from experienc...
of Informatics and Computing, and Physics at Indiana University. He has supervised the PhD of 65 stu...
Biography Keith Brewster is a Senior Research Scientist at the Center for Analysis and Prediction...
This open access book surveys the progress in addressing selected challenges related to the growth o...
We are pleased to present the report on the 30th Fall Meeting of the working group ``Data Analysis a...
These slides support the oral presentation delivered October 10, 2013 by Kevin Haar, Michael Groner ...
Big Data analysis is of great challenges in practice. The data set sizes will grow quickly. And anal...
This study is undertaken to assess the computational and storage needs for a large-scale research ac...
This manuscript presents a data quality analysis and holistic ‘machine learning-readiness...