 | 2012 |
| 18 |  | Varun Chandola,
Arindam Banerjee,
Vipin Kumar:
Anomaly Detection for Discrete Sequences: A Survey.
IEEE Trans. Knowl. Data Eng. 24(5): 823-839 (2012) |
| 2011 |
| 17 |  | Ranga Raju Vatsavai,
Eddie A. Bright,
Varun Chandola,
Budhendra L. Bhaduri,
Anil Cheriyadat,
Jordan Grasser:
Machine learning approaches for high-resolution urban land cover classification: a comparative study.
COM.Geo 2011: 11 |
| 16 |  | Varun Chandola,
Ranga Raju Vatsavai,
Budhendra L. Bhaduri:
iGlobe: an interactive visualization and analysis framework for geospatial data.
COM.Geo 2011: 21 |
| 15 |  | Ranga Raju Vatsavai,
M. Tuttle,
Budhendra L. Bhaduri,
Edward Bright,
Anil Cheriyadat,
Varun Chandola,
J. Graesser:
Rapid damage assessment using high-resolution remote sensing imagery: Tools and techniques.
IGARSS 2011: 1445-1448 |
| 14 |  | Varun Chandola,
Ranga Raju Vatsavai:
A Gaussian Process Based Online Change Detection Algorithm for Monitoring Periodic Time Series.
SDM 2011: 95-106 |
| 13 |  | Ranga Raju Vatsavai,
Christopher T. Symons,
Varun Chandola,
Goo Jun:
GX-Means: A model-based divide and merge algorithm for geospatial image clustering.
Procedia CS 4: 186-195 (2011) |
| 12 |  | Varun Chandola,
Ranga Raju Vatsavai:
A scalable gaussian process analysis algorithm for biomass monitoring.
Statistical Analysis and Data Mining 4(4): 430-445 (2011) |
| 2010 |
| 11 |  | Varun Chandola,
Ranga Raju Vatsavai:
Multi-temporal remote sensing image classification - A multi-view approach.
CIDU 2010: 258-270 |
| 10 |  | Varun Chandola,
Ranga Raju Vatsavai:
Scalable Time Series Change Detection for Biomass Monitoring Using Gaussian Process.
CIDU 2010: 69-82 |
| 9 |  | Varun Chandola,
Dafeng Hui,
Lianhong Gu,
Budhendra L. Bhaduri,
Ranga Raju Vatsavai:
Using Time Series Segmentation for Deriving Vegetation Phenology Indices from MODIS NDVI Data.
ICDM Workshops 2010: 202-208 |
| 8 |  | Varun Chandola,
Olufemi A. Omitaomu,
Auroop R. Ganguly,
Ranga Raju Vatsavai,
Nitesh V. Chawla,
Joao Gama,
Mohamed Medhat Gaber:
Knowledge discovery from sensor data (SensorKDD).
SIGKDD Explorations 12(2): 50-53 (2010) |
| 2009 |
| 7 |  | Varun Chandola,
Shyam Boriah,
Vipin Kumar:
A Framework for Exploring Categorical Data.
SDM 2009: 185-196 |
| 6 |  | Varun Chandola,
Arindam Banerjee,
Vipin Kumar:
Anomaly detection: A survey.
ACM Comput. Surv. 41(3): (2009) |
| 2008 |
| 5 |  | Varun Chandola,
Varun Mithal,
Vipin Kumar:
Comparative Evaluation of Anomaly Detection Techniques for Sequence Data.
ICDM 2008: 743-748 |
| 4 |  | Shyam Boriah,
Varun Chandola,
Vipin Kumar:
Similarity Measures for Categorical Data: A Comparative Evaluation.
SDM 2008: 243-254 |
| 2007 |
| 3 |  | Jon B. Weissman,
Vipin Kumar,
Varun Chandola,
Eric Eilertson,
Levent Ertöz,
György J. Simon,
Seonho Kim,
Jinoh Kim:
DDDAS/ITR: A Data Mining and Exploration Middleware for Grid and Distributed Computing.
International Conference on Computational Science (1) 2007: 1222-1229 |
| 2 |  | Varun Chandola,
Vipin Kumar:
Summarization - compressing data into an informative representation.
Knowl. Inf. Syst. 12(3): 355-378 (2007) |
| 2005 |
| 1 |  | Varun Chandola,
Vipin Kumar:
Summarization - Compressing Data into an Informative Representation.
ICDM 2005: 98-105 |