Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap

Sushil K. Prasad; Danial Aghajarian; Michael McDermott; Dhara Shah; Mohamed Mokbel; Satish Puri; Sergio J. Rey; Shashi Shekhar; Yiqun Xe; Ranga Raju Vatsavai; Fusheng Wang; Yanhui Liang; Hoang Vo; Shaowen Wang

doi:10.1109/BigDataCongress.2017.39

Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap

Sushil K. Prasad
, Danial Aghajarian
, Michael McDermott
, Dhara Shah
, Mohamed Mokbel
, Satish Puri
, Sergio J. Rey
, Shashi Shekhar
, Yiqun Xe
, Ranga Raju Vatsavai
, Fusheng Wang
, Yanhui Liang
, Hoang Vo
, Shaowen Wang

Georgia State University
University of Minnesota Twin Cities
Marquette University
University of California at Riverside
North Carolina State University
Stony Brook University
University of Illinois at Urbana-Champaign

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017
Editors	George Karypis, Jia Zhang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	232-250
Number of pages	19
ISBN (Electronic)	9781538619964
DOIs	https://doi.org/10.1109/BigDataCongress.2017.39
State	Published - Sep 7 2017
Externally published	Yes
Event	6th IEEE International Congress on Big Data, BigData Congress 2017 - Honolulu, United States Duration: Jun 25 2017 → Jun 30 2017

Publication series

Name	Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017

Conference

Conference	6th IEEE International Congress on Big Data, BigData Congress 2017
Country/Territory	United States
City	Honolulu
Period	6/25/17 → 6/30/17

ASJC Scopus Subject Areas

Information Systems
Artificial Intelligence
Computer Networks and Communications
Information Systems and Management

Keywords

CyberGIS
High performance computing
Map-reduce systems
Medical images
Parallel algorithms and data structures
Remote sensing data
Spatial data mining
Spatial econometrics

Access to Document

10.1109/BigDataCongress.2017.39

Cite this

Prasad, S. K., Aghajarian, D., McDermott, M., Shah, D., Mokbel, M., Puri, S., Rey, S. J., Shekhar, S., Xe, Y., Vatsavai, R. R., Wang, F., Liang, Y., Vo, H., & Wang, S. (2017). Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. In G. Karypis, & J. Zhang (Eds.), Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017 (pp. 232-250). Article 8029331 (Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BigDataCongress.2017.39

Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. / Prasad, Sushil K.; Aghajarian, Danial; McDermott, Michael et al.
Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017. ed. / George Karypis; Jia Zhang. Institute of Electrical and Electronics Engineers Inc., 2017. p. 232-250 8029331 (Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Prasad, SK, Aghajarian, D, McDermott, M, Shah, D, Mokbel, M, Puri, S, Rey, SJ, Shekhar, S, Xe, Y, Vatsavai, RR, Wang, F, Liang, Y, Vo, H & Wang, S 2017, Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. in G Karypis & J Zhang (eds), Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017., 8029331, Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017, Institute of Electrical and Electronics Engineers Inc., pp. 232-250, 6th IEEE International Congress on Big Data, BigData Congress 2017, Honolulu, United States, 6/25/17. https://doi.org/10.1109/BigDataCongress.2017.39

Prasad SK, Aghajarian D, McDermott M, Shah D, Mokbel M, Puri S et al. Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap. In Karypis G, Zhang J, editors, Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 232-250. 8029331. (Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017). doi: 10.1109/BigDataCongress.2017.39

Prasad, Sushil K. ; Aghajarian, Danial ; McDermott, Michael et al. / Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities : A Research Roadmap. Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017. editor / George Karypis ; Jia Zhang. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 232-250 (Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017).

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AU - Puri, Satish

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Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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