2013

Spatio-Temporal Data Mining for Climate Data: Advances, Challenges, and Opportunities
J. Faghmous and V. Kumar
In Advances in Data Mining, W. Chu, Editor, 2013 (in press)

Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships
Z. Chen, J. Jenkins, J. Rao, A. Choudhary, F. Semazzi, A. V. Melechko, V. Kumar, and N. F. Samatova
13th SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May 2-4, 2013

Contextual Time Series Change Detection
X. C. Chen, , K. Steinhaeuser, S. Boriah, S. Chatterjee, and V. Kumar
13th SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May 2-4, 2013 (link)

Change Detection from Temporal Sequences of Class Labels: Application to Land Cover Change Mapping
V. Mithal, Khandelwal, S. Boriah, K. Steinhaeuser, and V. Kumar
13th SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May 2-4, 2013 (link)

Automatic Detection and Correction of Multi-class Classification Errors Using System Whole-part Relationships
Z. Chen, J. Jenkins, J. Rao, A. Choudhary, F. Semazzi, A. V. Melechko, V. Kumar, and N. F. Samatova
13th SIAM International Conference on Data Mining (SDM 2013), Austin, Texas, USA, May 2-4, 2013 (link)

A graph-based approach to find teleconnections in climate data
J. Kawale, S. Liess, A. Kumar, M. Steinbach, P. Snyder, V. Kumar, A.R. Ganguly, N.F. Samatova, and F. Semazzi
Statistical Analysis and Data Mining, online publication April 2013, doi: 10.1002/sam.11181 (link)

Earth Science Applications of Sensor Data
A. Karpatne, J. Faghmous, J. Kawale, L. Styles, M. Blank, V. Mithal, X. Chen, A. Khandelwal, S. Boriah, K. Steinhaeuser, M. Steinbach, V. Kumar, and S. Liess
In Managing and Mining Sensor Data, C. C. Aggarwal (Ed.), Springer, 505-530, January 15, 2013, ISBN:9781461463085 (link)

2012

Hierarchical Classifier-Regression Ensemble for Multi-Phase Non-Linear Dynamic System Response Prediction: Application to Climate Analysis
D. L. Gonzalez, Z. Chen, I. K. Tetteh, T. Pansombut, F. Semazzi, V. Kumar, A.V. Melechko, and N. F. Samatova
2012 IEEE 12th International Conference on Data Mining (ICDM), pp. 781-788, December 10, 2012. Brussels, Belgium (link)

A New Data Mining Framework for Forest Fire Mapping
X.C. Chen, A. Karpatne, Y. Chamber, V. Mithal, M. Lau, K. Steinhaeuser, S. Boriah, M. Steinbach, V. Kumar, C. S. Potter, S. A. Klooster, T. Abraham, J.D. Stanley, and J. C. Castilla-Rubio
In CIDU 2012: Proceedings of the IEEE Conference on Intelligent Data Understanding, pages 104-111, October,2012 (link)

Spatio-temporal data mining methods for ocean eddy monitoring
J. Faghmous, L. Styles, N. Gibson, and V. Kumar
The Second International Workshop on Climate Informatics, September 20-21, 2012 (link)

A Novel and Scalable Spatio-Temporal Technique for Ocean Eddy Monitoring
J. H. Faghmous, Y. Chamber, S. Boriah, S. Liess, F. Vikebo, M. dos Santos Mesquita, and V. Kumar
AAAI 2012: AAAI Conference on Artificial Intelligence, July 2012 (link)

On the path to sustainable, scalable, energy-efficient data analytics: Challenges, future directions
S. Lakshminarasimhan, P. Kumar, W.-K. Liao, A. N. Choudhary, V. Kumar, and N. F. Samatova
2012 International Green Computing Conference (IGCC), pages 1 - 6, 4-8 June 2012 (link)

Toward Data-driven,Semi-automatic Inference of Phenomenological Physical Models: Application to Eastern Sahel Rainfall
S.V. Pendse, I.K. Tetteh, F. Semazzi, V. Kumar, and N.F. Samatova
SIAM International Conference on Data Mining (SDM), April 26-28, 2012 (link)

2011

A Study of Time Series Noise Reduction Techniques in the Context of Land Cover Change Detection
X. Chen, V. Mithal, S.R. Vangala, I. Brugere, S. Boriah, and V. Kumar
Proceedings of the 2011 NASA Conference on Intelligent Data Understanding (CIDU) 2011

A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests
Y. Chamber, A. Garg, V. Mithal, I. Brugere, M. Lau, V. Krishna, S. Boriah, M. Steinbach, V. Kumar, C. Potter, and S. Klooster
Proceedings of the 2011 NASA Conference on Intelligent Data Understanding (CIDU) 2011 (pdf)

Model-Free Time Series Segmentation Approach for Land Cover Change Detection
A. Garg, L. Manikonda, S. Kumar, V. Krishna, S. Boriah, M. Steinbach, V. Kumar, D. Toshniwal, C. Potter, and S. Klooster
Proceedings of the 2011 NASA Conference on Intelligent Data Understanding (CIDU) 2011 (pdf)

Incorporating Natural Variation into Time Series-Based Land Cover Change Identification
V. Mithal, A. Garg, I. Brugere, S. Boriah, V. Kumar, M. Steinbach, C. Potter, and S. Klooster
Proceedings of the 2011 NASA Conference on Intelligent Data Understanding (CIDU) 2011 (pdf)

Monitoring Global Forest Cover Using Data Mining
V. Mithal, A. Garg, S. Boriah, M. Steinbach, V. Kumar, C. Potter, S. Klooster, and J.-C. Castilla-Rubio
ACM Transactions on Intelligent Systems and Technology, Volume 2, Number 4, 2011 (pdf | link)

GOPHER: Global Observation of Planetary Health and Ecosystem Resources
A. Garg, V. Mithal, Y. Chamber, I. Brugere, V. Chaudhari, M. Dunham, V. Krishna, S. Krishnamurthy, S. Vangala, S. Boriah, M. Steinbach, V. Kumar, A. Cho, JD Stanley, T. Abraham, J. C. Castilla-Rubio, C. Potter, and S.A. Klooster
In IGARSS 2011: Proceedings of the IEEE Geoscience and Remote Sensing Symposium, 2011 (pdf)

Classification of Emerging Extreme Event Tracks in Multi-Variate Spatio-Temporal Physical Systems Using Dynamic Network Structures: Application to Hurricane Track Prediction
H. Sencan, Z. Chen, W. Hendrix, T. Pansombut, F. Semazzi, A. Choudhary, V. Kumar, N.F. Samatova, and A. Melechko
Proceedings of the 22nd International Joint Conference on Artificial Intelligence, July 16-22, 2011 (link)

Discovering Dynamic Dipoles in Climate Data
J. Kawale, M. Steinbach, and V. Kumar
SIAM International Conference on Data Mining (SDM), April 28-30, 2011 (pdf)

2010

Development of a Unique Web2.0 Interface for Global Collaboration in Land Cover Change Research
M. Dunham, S. Boriah, V. Mithal, A. Garg, M. Steinbach, V. Kumar, C.S. Potter, S. Klooster, and J. Castilla-Rubio
AGU Fall Meeting Abstracts, Abstract #IN53A-1165, Dec. 2010

Automated Detection of Forest Cover Changes
S. Boriah, V. Mithal, A. Garg, M. Steinbach, V. Kumar, C. Potter, S. Klooster, and J.C. Castilla-Rubio
Proceedings of IGARSS 2010: IEEE International Geoscience and Remote Sensing Symposium (pdf)

A Knowledge Discovery Strategy for Relating Sea Surface Temperatures to Frequencies of Tropical Storms and Generating Predictions of Hurricanes Under 21st-Century Global Warming Scenarios
C. Race, M. Steinbach, A. Ganguly, F. Semazzi, and V. Kumar
Proceedings of Annual Conference on Intelligent Data Understanding (CIDU), October, 2010 (pdf)

A Comparative Study of Algorithms for Land Cover Change
S. Boriah, V. Mithal, A. Garg, V. Kumar, M. Steinbach, C. Potter, and S. Klooster
Proceedings of Annual Conference on Intelligent Data Understanding (CIDU), October, 2010, 175-188 (pdf)

2009

Language and library support for climate data applications
E. Van Wyk, V. Kumar, M. Steinbach, S. Boriah, and A. Choudhary
Proceedings of Workshop on Software Research and Climate Change (WSRCC), held at OOPSLA 2009, October 2009 (pdf)

New Projections of Global Forest Carbon and Ecosystems at Risk for Increased Greenhouse Gas Emissions From Disturbance and Forest Degradation
S. Klooster, C. S. Potter, V. B. Genovese, P. M. Gross, V. Kumar, S. Boriah, V. Mithal, and J. Castilla- Rubio
American Geophysical Union, Fall Meeting 2009, abstract #B24B-08

2008

Terrestrial Vegetation Dynamics and Global Climate Controls
C. Potter, S. Boriah, M. Steinbach, V. Kumar, and S. Klooster
Climate Dynamics 31, no. 1, 2008: 67-78 (link)

Terrestrial Vegetation Dynamics and Global Climate Controls in North America: 2001–05
C. Potter, S. Boriah, M. Steinbach, V. Kumar, and S. Klooster
Earth Interactions, 12, no. 8, 2008: 1-12 (link)

Land Cover Change Detection: A Case Study
S. Klooster, C. Potter, M. Steinbach, S. Boriah, and V. Kumar
Proceeding of the 14th ACM SIGKDD international conferenceProceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '08, 857. Las Vegas, Nevada, USA; New York, New York, USA: ACM Press, 2008 (pdf | link)

Detecting Ecosystem Disturbances and Land Cover Change Using Data Mining
S. Boriah, V. Kumar, M. Steinbach, P. Tan, C. Potter, and S. Klooster
In Next Generation of Data Mining, H. Kargupta, J. Han, P. Yu, R. Motwani, and V. Kumar, editors, CRC Press, 2008 (link)

2007

Recent History of Trends in Vegetation Greenness and Large-Scale Ecosystem Disturbances in Eurasia
C. Potter, V. Kumar, S. Klooster, and R. Nemani
Tellus: Series B, 59, no. 2, 2007: 260-272 (pdf | link)

Revealing Land Cover Change in California With Satellite Data
C. Potter, V. Genovese, P. Gross, S. Boriah, M. Steinbach, and V. Kumar
Eos Trans. AGU, 88, no. 26, 2007: 269 (pdf | link)

2006

The Application of Clustering to Earth Science Data: Progress and Challenges
M. Steinbach, P.-N. Tan, S. Boriah, V. Kumar, S. Klooster, and C. Potter
Proceedings of the 2nd NASA Data Mining Workshop, May 2006 (pdf)

Terrestrial Vegetation Dynamics, Global Climate Controls, and Extreme Events
S. Klooster, C. Potter, S. Boriah, M. Steinbach, and V. Kumar
American Geophysical Union, Fall Meeting 2006, abstract #B43C-04

2005

Variability in Terrestrial Carbon Sinks over Two Decades. Part III: South America, Africa, and Asia
C. Potter, S. Klooster, P.-N. Tan, M. Steinbach, V. Kumar, and V. Genovese
Earth Interactions, 9, no. 29, 2005: 1 (pdf)

Variability in Terrestrial Carbon Sinks over Two Decades: Part II: Eurasia
C. Potter, S. Klooster, P.-N. Tan, M. Steinbach, V. Kumar, and V. Genovese
Global and Planetary Change, 49, no. 3-4, 2005: 177-186 (link)

Recent History of Large-Scale Ecosystem Disturbances in North America Derived from the AVHRR Satellite Record
C. Potter, P.-N. Tan, V. Kumar, C. Kucharik, S. Klooster, V. Genovese, W. Cohen, and S. Healey
Ecosystems, 8, no. 7, 2005: 808-824 (link)

Discovery of Patterns of Earth Science Data Using Data Mining
P. Zhang, M. Steinbach, V. Kumar, S. Shekhar, P.-N. Tan, S. Klooster, and C. Potter
Next Generation of Data Mining Applications, Jozef Zurada and Medo Kantardzic(eds), Wiley-IEEE Press, March 2005 (pdf)

2004

Understanding Controls on Historical River Discharge in the World’s Largest Drainage Basins
C. Potter, P. Zhang, S. Klooster, V. Genovese, S. Shekhar, and V. Kumar
Earth Interactions, 8, no. 2, 2004: 1 (pdf | link)

Understanding Global Teleconnections of Climate to Regional Model Estimates of Amazon Ecosystem Carbon Fluxes
C. Potter, S. Klooster, M. Steinbach, P.-N. Tan, V. Kumar, S. Shekhar, and C. Reis de Carvalho
Global Change Biology, 10, no. 5, 2004: 693-703 (pdf | link)

Discovery of Changes from the Global Carbon Cycle and Climate System Using Data Mining
V. Kumar, M. Steinbach, P. Zhang, S. Shekhar, P.-N. Tan, C. Potter, and S. Klooster
NASA Earth Science Technology Conference 2004 (pdf | link)

Predicting Land Climate Using Ocean Data
S. Boriah, G. Simon, M. Naorem, M. Steinbach, V. Kumar, S. Klooster, and C. Potter
KDD Workshop on Mining Temporal and Sequential Data, August 22, 2004 – Seattle, WA (pdf)

2003

Global Teleconnections of Climate to Terrestrial Carbon Flux
C. Potter, S. Klooster, M. Steinbach, P.-N. Tan, V. Kumar, S. Shekhar, R. Nemani, and R. Myneni
Journal of Geophysical Research, 108, no. D17, 2003 (pdf | link)

Variability in Terrestrial Carbon Sinks over Two Decades. Part I: North America
C. Potter, S. Klooster, P.-N. Tan, M. Steinbach, V. Kumar, and V. Genovese
Earth Interactions, 7, no. 12, 2003: 1 (pdf | link)

Continental-Scale Comparisons of Terrestrial Carbon Sinks Estimated from Satellite Data and Ecosystem Modeling 1982–1998
C. Potter
Global and Planetary Change, 39, no. 3-4, 2003: 201-213 (pdf | link)

Major Disturbance Events in Terrestrial Ecosystems Detected Using Global Satellite Data Sets
C. Potter, P.-N. Tan, M. Steinbach, S. Klooster, V. Kumar, R. Myneni, and V. Genovese
Global Change Biology, 9, no. 7, 2003: 1005-1021 (pdf | link)

Discovery of Climate Indices Using Clustering
S. Klooster, C. Potter, V. Kumar, P.-N. Tan, and M. Steinbach
Ninth ACM SIGKDD international conference Proceedings of the Ninth ACM SIGKDD international conference on Knowledge Discovery and Data Mining - KDD '03, 446. Washington, D.C.New York, New York, USA: ACM Press, 2003 (pdf | link)

Spatial Cone Tree: An Index Structure for Correlation-based Similarity Queries on Spatial Time Series Data
P. Zhang, S. Shekhar, Y. Huang, and V. Kumar
Proceedings of the International Workshop on Next Generation Geospatial Information, 2003 (link)

Exploiting Spatial Autocorrelation to Efficiently Process Correlation-Based Similarity Queries
P. Zhang, Y. Huang, S. Shekhar, and V. Kumar
8th Symposium on Spatial and Temporal Databases, 2003 (pdf | link)

Correlation Analysis of Spatial Time Series Datasets: A Filter-and-Refine Approach
P. Zhang, Y. Huang, S. Shekhar, and V. Kumar
Seventh Pacific-Asia Knowledge Discovery and Data Mining, 2003 (pdf | link)

2002

Temporal Data Mining for the Discovery and Analysis of Ocean Climate Indices
M. Steinbach, P.-N. Tan, V. Kumar, C. Potter, and S. Klooster
KDD Workshop on Temporal Data Mining, 2002 (pdf)

Data Mining for the Discovery of Ocean Climate Indices
M. Steinbach, P.-N. Tan, V. Kumar, C. Potter, and S. Klooster
Fifth Workshop on Scientific Data Mining (2nd SIAM International Conference on Data Mining), 2002 (pdf)

2001

Mining Scientific Data: Discovery of Patterns in the Global Climate System
V. Kumar, M. Steinbach, P.-N. Tan, S. Klooster, C. Potter, and A. Torregrosa
Joint Statistical Meeting, 2001 (pdf)

Clustering Earth Science Data: Goals, Issues and Results
M. Steinbach, P.-N. Tan, V. Kumar, C. Potter, S. Klooster, and A. Torregrosa
KDD Workshop on Mining Scientific Datasets, 2001 (pdf)

Finding Spatio-Temporal Patterns in Earth Science Data
P.-N. Tan, M. Steinbach, V. Kumar, C. Potter, S. Klooster, and A. Torregrosa
KDD Workshop on Temporal Data Mining, 2001 (pdf)

1999

Interannual Variability in Terrestrial Net Primary Production: Exploration of Trends and Controls on Regional to Global Scales
C. Potter, S. Klooster, and V. Brooks
Ecosystems, 2, no. 1, 1999: 36-48 (link)