Data Mining, Databases, and Geographical Information Systems

The ReaLSAT dataset is a comprehensive global dataset of lakes and reservoirs, tracking changes over the last 30+ years

Stock photo representing environmental AI

UPS driver pushing boxes on a dolley, in front of the UPS truck

Research in this area explores efficient storage, retrieval, analysis, and visualization of data for analysis and pattern discovery. This encompasses a wide range of topics including improved indexing and query languages, data compression, multimedia storage and retrieval, data clustering, pattern matching, and high-dimensional data modeling. Specific research thrusts in the department include geographical databases, mapping models, anomaly and pattern detection, query processing, and spatial and scientific data mining for application domains like bioinformatics, cyber security, sensor networks, transportation, and the Web. This group has extensive connections with industry and national labs, providing a rich source of problems, datasets, and experience for students.

Daniel Boley

Professor, Distinguished University Teaching Professor, Data Science Director of Graduate Studies

Office

6-209 Keller Hall

Phone

612-625-3887

E-mail

boley@umn.edu

Yao-Yi Chiang

Associate Professor

Office

5-191 Keller Hall

E-mail

yaoyi@umn.edu

George Karypis

Professor, Distinguished McKnight University Professor

Office

483 Walter Library

Phone

612-626-7524

E-mail

karypis@umn.edu

Vipin Kumar

Regents Professor, William Norris Land Grant Chair in Large-Scale Computing, ADC Data Science Initiative Director Chair

Office

5-225C Keller Hall

Phone

612-624-8023

E-mail

kumar001@umn.edu

Chang Ge

Assistant Professor

Office

6-189 Keller Hall

E-mail

cge@umn.edu

Mohamed F. Mokbel

Professor

Office

4-207 Keller Hall

Phone

612-626-3025

E-mail

mokbel@umn.edu

Shashi Shekhar

Professor, Distinguished McKnight University Professor, Distinguished University Teaching Professor

Office

5-203 Keller Hall

Phone

612-624-8307

E-mail

shekhar@umn.edu

Jaideep Srivastava

Professor, Data Science Director of Undergraduate Studies

Office

5-209 Keller Hall

Phone

612-625-4012

E-mail

srivasta@umn.edu

Catherine Qi Zhao

Associate Professor

Office

6-189 Keller Hall

Phone

612-301-2115

E-mail

qzhao@umn.edu

Latest research projects, publications, and talks

Data Mining, Databases, and Geographical Information Systems

MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification [preprint]

Posted December 22, 2021

Majid Farhadloo (Ph.D. student), Carl Molnar (M.S. student), Gaoxiang Luo (undergraduate research assistant), Yan Li (Ph.D. student), Shashi Shekhar (professor), Rachel L Maus, Svetomir N Markovic, Raymond Moore, Alexey Leontovich

Data Mining, Databases, and Geographical Information Systems

A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition [conference paper]

Posted December 15, 2021

Weiwei Duan, Yao-Yi Chiang (associate professor), Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock

IEEE International Conference on Big Data (IEEE BigData)

Data Mining, Databases, and Geographical Information Systems

Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images [conference paper]

Posted December 15, 2021

Weiwei Duan, Yao-Yi Chiang (associate professor), Stefan Leyk, Johannes H. Uhl, Craig A. Knoblock

IEEE International Conference on Big Data (IEEE BigData)

Data Mining, Databases, and Geographical Information Systems

Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach [journal]

Posted November 30, 2021

Jayant Gupta (Ph.D. student), Carl Molnar (M.S. student), Yiqun Xie (Ph.D. 2020), Joe Knight, Shashi Shekhar (professor)

ACM Transactions on Intelligent Systems and Technology (TIST)

Data Mining, Databases, and Geographical Information Systems

Significant DBSCAN+: Statistically Robust Density-based Clustering [journal]

Posted November 24, 2021

Yiqun Xie (Ph.D. 2020), Xiaowei Jia (Ph.D. 2020), Shashi Shekhar (professor), Han Bao, Xun Zhou (Ph.D. 2014)

ACM Transactions on Intelligent Systems and Technology (TIST)

Data Mining, Databases, and Geographical Information Systems

Strategies for building robust prediction models using data unavailable at prediction time [journal]

Posted November 19, 2021

Haoyu Yang (Ph.D. student), Roshan Tourani, Ying Zhu, Vipin Kumar (professor), Genevieve B Melton, Michael Steinbach (researcher), Gyorgy Simon

Journal of the American Medical Informatics Association

Data Mining, Databases, and Geographical Information Systems

A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting Systems [journal]

Posted November 18, 2021

Matheus Araújo (Ph.D. student), Paula van Dommelen, Jaideep Srivastava (professor), Ekaterina Koledova

Studies in Health Technology and Informatics

Data Mining, Databases, and Geographical Information Systems

Satellite image classification across multiple resolutions and time using ordering constraint among instances [patent]

Posted November 18, 2021

Ankush Khandelwal (Ph.D. 2019), Anuj Karpatne (Ph.D. 2017), Vipin Kumar (professor)

Data Mining, Databases, and Geographical Information Systems

Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees [preprint]

Posted November 11, 2021

Wen-Bo Xie, Zhen Liu, Jaideep Srivastava (professor)

Data Mining, Databases, and Geographical Information Systems

SRC: Incorporating Geographic Information for Building a Location-based Recommendation System [conference paper]

Posted November 2, 2021

Yuankun Jiao, Yao-Yi Chiang (associate professor)

ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL)

Data Mining, Databases, and Geographical Information Systems

Faculty

Labs and selected projects

Related centers and programs

Latest research projects, publications, and talks

MC-DGCNN: A Novel DNN Architecture for Multi-Category Point Set Classification [preprint]

A Label Correction Algorithm Using Prior Information for Automatic and Accurate Geospatial Object Recognition [conference paper]

Guided Generative Models using Weak Supervision for Detecting Object Spatial Arrangement in Overhead Images [conference paper]

Spatial Variability Aware Deep Neural Networks (SVANN): A General Approach [journal]

Significant DBSCAN+: Statistically Robust Density-based Clustering [journal]

Strategies for building robust prediction models using data unavailable at prediction time [journal]

A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting Systems [journal]

Satellite image classification across multiple resolutions and time using ordering constraint among instances [patent]

Hierarchical clustering by aggregating representatives in sub-minimum-spanning-trees [preprint]

SRC: Incorporating Geographic Information for Building a Location-based Recommendation System [conference paper]

More About Research areas