Sapphire: Publications

Papers

2008–2011

C. Kamath and O. Hurricane, “Robust extraction of statistics from images of material fragmentation,” International Journal of Image and Graphics, Volume 11, Issue 3, pp. 377-401, July 2011. LLNL-JRNL-464713.
C. Kamath, A. Gezahegne, and P. L Miller, “Identification of coherent structures in three-dimensional simulations of a fluid-mix problem,” International Journal of Image and Graphics, Volume 9, No. 3, pp. 389-410, July 2009. UCRL-JRNL-232849.
A. Gezahegne and C. Kamath, “Tracking non-rigid structures in computer simulations,” IEEE International Conference on Image Processing, San Diego, October 2008, pp. 1548-1551. LLNL-CONF-400422. [PDF]
C. Kamath, “Sapphire: Experiences in Scientific Data Mining,” SciDAC 2008, Journal of Physics Conference Series 125, 012094, July 2008. LLNL-CONF-404765. [PDF]

2007

C. Kamath, A. Gezahegne, and P.L. Miller, “Analysis of Rayleigh-Taylor Instability: Statistics on Rising Bubbles and Falling Spikes,” LLNL Technical Report UCRL-TR-236111-REV-1, December 2007. [PDF]
A. Gezahegne and N. S. Love, “Leveraging Python Interoperability Tools to Improve Sapphire Usability,” LLNL Technical Report UCRL-TR-237219, December 2007. [PDF]
C. Kamath and O. A. Hurricane, “Analysis of Images from Experiments Investigating Fragmentation of Materials,” LLNL Technical Report, UCRL-TR-234578, September 13, 2007. [PDF]
C. Kamath and P. L. Miller, “Image Analysis for Validation of Simulations of a Fluid Mix Problem,” IEEE International Conference on Image Processing, Volume III, pages 525-528, San Antonio, September 2007. UCRL-CONF-227190. [PDF]
A. Bagherjeiran, N. S. Love, C. Kamath, “Estimating Missing Features to Improve Multimedia Retrieval,” IEEE International Conference on Image Processing, Volume II, pages 233-236, San Antonio, September 2007. UCRL-CONF-225087. [Short - PDF] [PDF]
N. S. Love and C. Kamath, “Image Analysis for the Identification of Coherent Structures in Plasma,” Applications of Digital Image Processing, XXX, SPIE Conference 6696, San Diego, August 2007. UCRL-CONF-233180. [PDF]

2006

P. L. Miller, A. G. Gezahegne, A. W. Cook, W. H. Cabot, C. Kamath, “Bubble counts for Rayleigh-Taylor Instability Using Image Analysis, International workshop on the Physics of Compressible Turbulent Mixing, July 17-21, 2006, Paris, France. UCRL-PROC-227585.
C. Kamath, “Mining science data,” SciDAC 2006, Scientific Discovery through Advanced Computing, in Journal of Physics Conference Series, Volume 46, 2006, pp. 500-504.
C. Kamath, A. Gezahegne, and P.L. Miller, “Analysis of Rayleigh-Taylor Instability, Part I: Bubble and Spike Count,” LLNL Technical report, UCRL-TR_223676, August 2006. [PDF]
A. Bagherjeiran and C. Kamath, “Graph-based Methods for Orbit Classification,” Sixth SIAM International Conference on Data Mining, Bethesda, April 2006. UCRL-CONF-215802. [Short - PDF] [PDF]
N.S. Love and C. Kamath, “An Empirical Study of Block Matching Techniques for Detection of Moving Objects,” LLNL Technical Report UCRL-TR-218038, April 2006. [PDF]

2005

A. Bagherjeiran and C. Kamath, “Graph-based Techniques for Orbit Classification: Early Results,” LLNL Technical Report UCRL-TR-215690, September 2005. [PDF]
Samson S.-C. Cheung and C. Kamath, “Robust background subtraction with foreground validation for urban traffic video,” Eurasip Journal on applied signal processing. Volume 14, pp 2330-2340, 2005. UCRL-JRNL-201916.
Cantú-Paz, E. and C. Kamath, An empirical comparison of combinations of evolutionary algorithms and neural networks for classification problems. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, pages 915-927, 2005. UCRL-JC-15193. [PDF]
A. Bagherjeiran, C. Cantu-Paz, C. Kamath, “Design and Implementation of an Anomaly Detector,” Technical Report, Lawrence Livermore National Laboratory, UCRL-TR-213599, July 2005. [PDF]
C. Kamath and T. Nguyen, “Feature Extraction from Simulations and Experiments: Preliminary Results Using a Fluid Mix Problem,” Technical report, Lawrence Livermore National Laboratory, UCRL-TR-208853, January 2005. [PDF]
S. Newsam and C. Kamath, “Comparing shape and texture features for pattern recognition in simulation data,” Image Processing: Algorithms and Systems IV, SPIE Electronic Imaging, January 2005. UCRL-CONF-208568. [PDF]
C. Kamath, A. Gezahegne, S. Newsam, G.M. Roberts, “Salient Points for Tracking Moving Objects in Video,” Proceedings, Image and Video Communications and Processing, pp 442-453, SPIE Volume 5685, Electronic Imaging, San Jose, January 2005. UCRL-CONF-208738. [PDF]

2004

C. Kamath, “Statistics and Practical Applications of Data Mining: Highlights from SDM04,” SIAM News, Volume 37, Number 6, July/August 2004. UCRL-ABS-206349.
A. Lazarevic, Kanapady, R. and Kamath, C., “Effective Localized Regression for Damage Detection in Large Complex Mechanical Structures,” Proceedings, ACM International Conference on Knowledge Discovery and Data Mining, pp 450-459, August 22-25, 2004, Seattle, WA.
Cantu-Paz, E., Newsam, S., Kamath, C., “Feature Selection in Scientific Applications,” Proceedings, ACM International Conference on Knowledge Discovery and Data Mining, pp 788-793, August 22-25, 2004, Seattle, WA. UCRL-CONF-202657. [PDF]
Cantu-Paz, E., “Feature Subset Selection, Class Separability, and Genetic Algorithms,” in Deb, K. et al. (Eds.). Genetic and Evolutionary Computation Conference. GECCO-2004. Berlin: Springer Verlag. UCRL-CONF-202041. [PDF]
Cantu-Paz, E., “Adaptive Sampling for Noisy Problems,” in Deb, K. et al. (Eds.). Genetic and Evolutionary Computation Conference. GECCO-2004. Berlin: Springer Verlag. UCRL-CONF-203216. [PDF]
Newsam, S. and C. Kamath, “Retrieval using texture features in high resolution multi-spectral satellite imagery,” Data Mining and Knowledge Discovery: Theory, Tools, and Technology, VI, SPIE Volume 5433, pp. 21-32, SPIE Defense and Security, Orlando, April 2004. UCRL-CONF-201981. [PDF]
Cantu-Paz, E., Cheung, S-C., and Kamath, C., “Retrieval of Similar Objects in Simulation Data Using Machine Learning Techniques,” Image Processing: Algorithms and Systems III, SPIE Volume 5298, pp 251-258. SPIE Electronic Imaging, San Jose, January 2004. UCRL-JC-153866. [PDF]
Cheung, S.-C., and C. Kamath, “Robust techniques for background subtraction in urban traffic video,” Video Communications and Image Processing, Volume 5308, pp 881-892, SPIE Electronic Imaging, San Jose, January 2004, UCRL-JC-153846-ABS, UCRL-CONF-200706. [PDF]
Weeratunga S. and C. Kamath, “An investigation of implicit active contours for scientific image segmentation,” Video Communications and Image Processing, SPIE Volume 5308, pp. 210-221, SPIE Electronic Imaging, San Jose, January 2004, UCRL-CONF-200711. [PDF]

2003

Lazarevic, A., R. Kanapady, C. Kamath, V. Kumar, and K. Tamma, “Localized Prediction of Continuous Target Variables Using Hierarchical Clustering,” Proceedings, IEEE International Conference on Data Mining, pp. 139-146, Melbourne, Florida, Nov. 2003.
Moelich, M., “Autonomous Motion Segmentation of Multiple Objects in Low Resolution Video Using Variational Level Sets,” LLNL Technical report, UCRL-TR-201054., November 19, 2003. [PDF]
Gyaourova, A., C. Kamath, and S.-C. Cheung, “Block matching for object tracking,” LLNL Technical report, October 2003. UCRL-TR-200271. [PDF]
Fodor, I.K., “Statistical techniques to find similar objects in images,” Proceedings of the American Statistical Association, Statistical Computing Section, October 2003. UCRL-PROC-200388. [PDF]
Lazarevic, A., Kanapady, R., Kamath, C., Tamma K., Kumar, V., “Damage Detection Employing Novel Data Mining Techniques,” book chapter, New Generation of Data Mining Applications, IEEE Press, August 2003.
Kamath, C., E. Cantu-Paz, S.-C. Cheung, I. K. Fodor, and N. Tang, “Experiences in mining data from computer simulations,” book chapter, New Generation of Data Mining Applications, IEEE Press, August 2003. UCRL-BOOK-200043.
Cantu-Paz, E. and Goldberg, D. E., “Are multiple runs of genetic algorithms better than one?” In Cantu-Paz, E. et al. (Eds.). Genetic and Evolutionary Computation Conference, GECCO-2003, pp. 801-812. Berlin: Springer Verlag. UCRL-JC-142172. [PDF]
Cantu-Paz, E., “Pruning Neural Networks with Distribution Estimation Algorithms,” in Cantu’-Paz, E. et al. (Eds.). Genetic and Evolutionary Computation Conference, GECCO-2003, pp. 790-800. Berlin: Springer Verlag. UCRL-JC-151521. [PDF].
Cheung S.-C. and C. Kamath, “Initial experiences with retrieving similar objects in simulation data,” Proceedings, Sixth Workshop on Mining Scientific and Engineering Datasets, in conjunction with the Third SIAM conference on Data Mining, May 3, 2003, pp 11-18. UCRL-JC-151931. [PDF]
Fodor, I.K. and C. Kamath, “Using independent component analysis to separate signals in climate data,” Proceedings, Independent component analysis, Wavelets, and Neural Networks, SPIE Aerosense, Orlando, April 2003. UCRL-JC-151808. [PDF]
I. K. Fodor and Kamath, C., “Efficient segmentation of spatio-temporal data from simulations,” Proceedings, Image and Video Communications and Processing, SPIE Electronic Imaging, San Jose, January 2003. UCRL-JC-148906. [PDF]
Sengupta, S. K., C. Kamath, D. Poland, J. Futterman, “Detecting human settlements in Satellite Images,” Proceedings, Optical Engineering at the Lawrence Livermore National Laboratory, SPIE Photonics West, Lasers and Applications in Science and Engineering, San Jose, January 2003. UCRL-JC-150220. [PDF]
Kamath, C., S. Sengupta, D. Poland, and J. Futterman, “On the use of machine vision techniques to detect human settlements in satellite images, Proceedings, Image Processing: Algorithms and Systems II, SPIE Electronic Imaging, San Jose, January 2003. UCRL-JC-150218. [PDF]
Weeratunga S.K., and C. Kamath, “A comparison of PDE-based non-linear anisotropic diffusion techniques for image denoising,” Proceedings, Image Processing: Algorithms and Systems II, SPIE Electronic Imaging, San Jose, January 2003. UCRL-JC-151493. [PDF]

2002

Gyaourova, A., C. Kamath, and I. K. Fodor, “Undecimated Wavelet Transforms for Image De-Noising,” LLNL Technical report, UCRL-ID-150931. [PDF]
Fodor I. K., “A survey of dimension reduction techniques,” LLNL technical report, June 2002, UCRL-ID-148494. [PDF]
Kirshner, S., I. V. Cadez, P. Smyth, C. Kamath, and E. Cantu-Paz, “Probabilistic Model-based Detection of Bent-double radio galaxies,” poster presentation at International Conference on Pattern Recognition, August 2002, UCRL-JC-148050.
Kamath, C., E. Cantu-Paz, I.K. Fodor, N. Tang, “Classification of bent-double galaxies in the FIRST survey,” IEEE Computing in Science and Engineering, July/August 2002, pp 52-60, UCRL-JC-147497. [PDF]
Kamath, C., “Mining the Sky: Data Analysis Meets Astronomy,” SIAM News, April 2002. UCRL-JC-147376.
Cantu-Paz, E., and C. Kamath, “Evolving neural networks for the classification of galaxies,” Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2002, pp. 1019-1026, Morgan Kaufmann Publishers, San Francisco, 2002, UCRL-JC-147020. Tied for the best paper award in the Real World Applications Category. [PDF]
Cantu-Paz, E., “Feature subset selection by estimation of distribution algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference GECCO 2002, pp. 303 - 310, Morgan Kaufmann Publishers, San Francisco, 2002. UCRL-JC-146851. [PDF]
Cantu-Paz, E., “On random numbers and the performance of genetic algorithms,” Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2002, pp. 311-318, Morgan Kaufmann Publishers, San Francisco, 2002. UCRL-JC-146850. [PDF]
Fodor, I. K., and C. Kamath, “On the use of independent component analysis to separate meaningful sources in global temperature series,” Joint Statistical Meetings, August 2002. UCRL-JC-146972-abs.
Kamath, C., “Mining Science and Engineering Data: An Overview,” book chapter, Handbook of Data Mining, Nong Ye (ed.), pp 549-572, Lawrence Erlbaum Associates. New Jersey, 2003. UCRL-JC-147018, February 2002.
Kamath, C., and E. Cantu-Paz, “Classification of bent-double galaxies: Experiences with ensembles of decision trees,” Proceedings, Fifth Workshop on Mining Scientific Datasets, pp. 43-50, Held in conjunction with the Second SIAM International Conference on Data Mining, April 13, 2002. UCRL-JC-146721. [PDF]
Cantu-Paz E., and C. Kamath, “Evolving neural networks to identify Bent-Double Galaxies in the FIRST Survey,” Neural Networks, Volume 16, No. 3-4, pp. 507-517, 2003. UCRL-JC-146705.
Kamath, C., “Workshop report: The Fourth Workshop on Mining Scientific Datasets,” SigKDD Newsletter, Volume 3, Issue 2, pp. 68-69, January 2002. UCRL-JC-146695-summ.
Weeratunga S.K. and C. Kamath, “PDE-based non-linear diffusion techniques for denoising scientific/industrial images: An empirical study,” Proceedings, Image Processing: Algorithms and Systems, SPIE Electronic Imaging, pp. 279-290, San Jose, January 2002. UCRL-JC-145574. [PDF]
Kamath, C., E., Cantú-Paz, and D. Littau, “Approximate Splitting for Ensembles of Trees using Histograms,” Proceedings, Second SIAM International Conference on Data Mining, pp. 370-383, April 2002. UCRL-JC-145576. [PDF]

2001

Kanapady, R., S. K. Bathina, K.K. Tamma, C. Kamath, and V. Kumar, “Determination of an initial mesh density for finite element computations via data mining,” Proceedings of the Fourth Workshop on Mining Scientific Datasets, pp. 64-70, KDD 2001, August 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-144765. [PDF]
Sandhu, S.S., R. Kanapady, K.K. Tamma, C. Kamath, and V. Kumar, “Damage Prediction and estimation in structural mechanics based on data mining,” Proceedings of the Fourth Workshop on Mining Scientific
Datasets, KDD 2001, pp 56-63, August 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-144764. [PDF]
C. Kamath, Proceedings of the Fourth Workshop on Mining Scientific Datasets (ed.), August 2001, KDD2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-ID-144763.
Fodor, I. K., and C. Kamath, “Dimension reduction techniques and the Classification of Bent Double Galaxies,” Computational Statistics and Data Analysis journal, Volume 41, pp. 91-122, 2002. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-144209. [PDF]
Fodor, I. K., and C. Kamath, “Denoising through Wavelet Shrinkage: An Empirical Study,” SPIE Journal on Electronic Imaging, Vol. 12, No. 1, pp. 151-160, January 2003. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-144258. [PDF]
R. Grossman, C. Kamath, W. Kegelmeyer, V. Kumar, and R. Namburu eds., Data Mining for Scientific and Engineering Applications, Kluwer, September 2001.
E. Cantú-Paz, and C. Kamath, “Inducing Oblique Decision Trees with Evolutionary Algorithms,” IEEE Transactions on Evolutionary Computing, Volume 7, No. 1, pp. 54-68, February 2003. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-143718. [PDF]
Cantú-Paz, E., “Supervised and Unsupervised Discretization methods for Evolutionary Algorithms,” Proceedings GECCO 2001 workshop on Optimization by Building and Using Probabilistic Models. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-142243. [PDF]
Kamath, C., E. Cantu-Paz, I. K. Fodor, N. Tang, “Using data mining to find bent-double galaxies in the FIRST survey,” Proceedings, Astronomical Data Analysis, at the SPIE Annual Meeting, San Diego, July-August 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-143458. [PDF]
Kamath, C., and E. Cantu-Paz, Creating ensembles of decision trees through sampling, Proceedings, 33rd Symposium on the Interface of Computing Science and Statistics, Costa Mesa, CA, June 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-14226. [PDF]
Fodor, I. K., and C. Kamath, “A comparison of de-noising techniques for FIRST images,” Proceedings, Third workshop on Mining Scientific Datasets, held in conjunction with the First SIAM Int. Conf. on Data Mining, Chicago, April 2001, pp. 13-20. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-142085. [PDF]
Fodor, I. K., and C. Kamath, “On Denoising Images Using Wavelet-based Statistical Techniques,” Lawrence Livermore National Laboratory technical report, UCRL JC-142357. [PDF]
Kamath, C., “The Role of Parallel and Distributed Processing in Data Mining,” Spring 2001 newsletter of the IEEE Technical Committee on Distributed Processing, pp. 10-15. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-142468.
Cantu-Paz, E., and C. Kamath, “On the Use of Evolutionary Algorithms in Data Mining,” book chapter in Data Mining: A Heuristic Approach, Eds. H. Abbass, R. Sarker, and C. Newton, pp. 48-71, 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-141872. [PDF]
C. Kamath, “On Mining Scientific Datasets,” book chapter in Data Mining for Scientific and Engineering Applications, eds. R. Grossman, C. Kamath, P. Kegelmeyer, V. Kumar, and R. Namburu, Kluwer, pp. 1-22, 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-141709.
Kamath, C, E., Cantu-Paz, I. K. Fodor, N. Tang, “Searching for Bent-Double Galaxies in the FIRST Survey,” book chapter in Data Mining for Scientific and Engineering Applications, eds. R. Grossman, C. Kamath, W. Kegelmeyer, V. Kumar, and R. Namburu, Kluwer, pp. 95-114, 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-140418.
Duffy, P., C. Doutriaux, I. K. Fodor, and B. Santer, “Effect of missing data on estimates of near-surface temperature change since 1900,” Journal of Climate, Volume 14, No. 13, pp. 2809-2814, 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-140272. [PDF]
Fodor, Imola, and Chandrika Kamath, “The Role of Multiresolution in Mining Massive Image Datasets,” in Multiscale and Multiresolution Methods, Lecture Notes in Computational Science and Engineering, T. J. Barth, T. Chan, and R. Haimes, (Eds.), Volume 20, Springer-Verlag, pp. 307-318, 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-139713.

2000

Kamath, C., and Ann Parker, “Mining Data for Gems of Information,” Research Highlight, Science and Technology Review, September 2000, pages 20-22. UCRL-52000-00-9. [PDF]
Kamath, Chandrika, and Erick Cantú-Paz, “On the design of a parallel object-oriented data mining toolkit, “Workshop on Distributed and Parallel Knowledge Discovery, at the Knowledge Discovery and Data Mining Conf., Boston, August 20-23, 2000. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-138973. [Gzipped PostScript]
Cantú-Paz, E., and Kamath, C. “Combining evolutionary algorithms with oblique decision trees to detect bent double galaxies,” in Conf. Proc. Int. Symposium on Optical Science and Technology, SPIE Annual Meeting, Vol. 4120, pp. 63-71, San Diego, July 30-August 4, 2000. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-138979. [Gzipped PostScript]
Kamath, Chandrika, Chuck Baldwin, Imola Fodor, and Nu Ai Tang, “On the design and implementation of a parallel, object-oriented, image processing toolkit,” Proc. Int. Symp. on Optical Science & Technology, SPIE Annual Meeting, San Diego, July 30-August 4, 2000. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-138953. [Gzipped PostScript]
Cantú-Paz, E., “Comparing Selection Methods of Evolutionary Algorithms Using the Distribution of Fitness.” Submitted to IEEE Transactions on Evolutionary Computation. Also available as Lawrence Livermore National Laboratory technical report. UCRL-JC-138582. [PDF]
Cantú-Paz, E., “On the Effects of Migration on the Fitness Distribution of Parallel Evolutionary Algorithms,” Workshop on Evolutionary Computation and Parallel Processing (in Genetic and Evolutionary Computation Conf., GECCO-2000). Las Vegas, NV. July 8-12, 2000. Also available as Lawrence Livermore National Laboratory technical report. UCRL-JC-138729. [Gzipped PostScript]
Kargupta, Hillol, Chandrika Kamath, and Philip Chan, Distributed and Parallel Data Mining: Emergence, Growth, and Future Directions, epilogue in Advances in Distributed and Parallel Knowledge Discovery, AAAI Press/MIT Press, pages 409-417, 2000. Also available as Lawrence Livermore National Laboratory technical report. UCRL-JC-138954.
Cantú-Paz, Erick, and Chandrika Kamath, “Using Evolutionary Algorithms to Induce Oblique Decision Trees,” Genetic and Evolutionary Computation Conf. (GECCO) 2000, Las Vegas, NV, July 8-12, 2000. Also available as Lawrence Livermore National Laboratory technical report. UCRL-JC-137202. [PDF]
Cantu-Paz, Erick, “Selection Intensity in Genetic Algorithms with Generation Gaps,” Genetic and Evolutionary Computation Conf. (GECCO) 2000, Las Vegas, NV July 8-12, 2000. Also available as Lawrence Livermore National Laboratory technical report. UCRL-JC-137169. [PDF]
Fodor, Imola, Erick Cantú-Paz, Chandrika Kamath, and Nu Ai Tang, “Finding Bent-Double Radio Galaxies: A Case Study in Data Mining, “Interface: Computer Science and Statistics, Volume 33, New Orleans, LA, April 2000. Also available as Lawrence Livermore National Laboratory technical report. UCRL-JC-138073. [Gzipped PostScript]

1999

Cantu-Paz Erick, “Genetic Algorithms,” in Encyclopedia of Computers and Computer History, Chicago, IL: Fitzroy Dearborn, Also available as Lawrence Livermore National Laboratory technical report. UCRL-JC-137552.
Kamath, Chandrika, and Ron Musick, “Scalable Data Mining through Fine-Grained parallelism: The Present and the Future,” in Advances in Distributed and Parallel Knowledge Discovery H. Kargupta and P. Chan, Eds., (AAAI Press/MIT Press), pages 29-77, 2000. Also available as Lawrence Livermore National Laboratory technical report UCRL-JC-133694, April 1999.
Kamath, Chandrika, and Ron Musick, “Data Mining for Large, Complex Data Sets,” a position paper in Mining and Managing Massive Data Sets ‘98, La Jolla, CA, February 5-6, 1998. Also available as Lawrence Livermore National Laboratory technical report. UCRL-JC-129727.
Kamath, Chandrika, SAPPHIRE: Large-Scale Data Mining and Pattern Recognition, Lawrence Livermore National Laboratory technical brochure UCRL-TB-132076, January 1999.

Tutorials

Kamath, C., “Mining Science and Engineering Data,” Tutorial at the Third SIAM International Conference on Data Mining, San Francisco, May 2003. UCRL-PRES-152436.
Kamath, C., “An introduction to Scientific Data Mining,” tutorial at the IPAM short program on Mathematical Challenges in Scientific Data Mining, UCLA, January 14-18, 2002. UCRL-PRES-146653.
Cantú-Paz, E., “Parallel Genetic Algorithms,” tutorial at GECCO, 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-VG-136736.
R. Grossman, C. Kamath, V. Kumar, “Data mining for scientific and engineering applications,” Tutorial at Supercomputing 2001, November 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-PRES-145087.
Kamath, C., “Data Mining for Science and Engineering Applications,” Tutorial at the First SIAM Int. conference on Data Mining, Chicago, April 5-7, 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-142626. [Text]

Presentations

2007

C. Kamath, A. Gezahegne, and P. L. Miller, “Sapphire Analysis of DNS of Rayleigh-Taylor Instability,” Fall Creek Falls Meeting on Challenges in Modeling and Simulation, Nashville, September 24-26, 2007. UCRL-PRES-234421.
C. Kamath, “Understanding the Science in Data: Challenges at the Petascale,” DOE ASCR Applied Mathematics Research PI meeting, Livermore, May 2007.
C. Kamath, “Scientific Data Mining- Challenges at the Petascale,” SFBay ACM Data Mining SIG Meeting, March 14, 2007.
C. Kamath, “Mining Science Data,” 4th Annual FMS/IMT Colloquium and Workshop on Large Data Issues in HPC, Marina del Rey, March 7, 2007.
C. Kamath, “Mining science data,” SIAM Conference on Computational Science and Engineering, Costa Mesa, February 2007.

2006

C. Kamath, A. Gezahegne, and P. L. Miller, “Analysis of Rayleigh-Taylor Instability: Bubble and Spike Count,” Center for Advanced Signal and Image Sciences (CASIS) Workshop, Lawrence Livermore National Laboratory, November 2006.
A. Bagherjeiran, N. S. Love, and C. Kamath, “Estimating missing features to improve multimedia information retrieval,” Center for Advanced Signal and Image Sciences (CASIS) Workshop, Lawrence Livermore National Laboratory, November 2006.
C. Kamath, “Petascale Data Mining,” Invited talk, SDSC Summer Institute: Taking your science to the next level: on the path to petascale computing, San Diego, July 2006.
C. Kamath, “Scientific Data Mining: Challenges at the Petascale,” Invited talk, NCSA Workshop on Research in Petascale Computing Technologies for Science and Engineering, Urbana-Champaign, April 2006.

2005

Kamath, C., “The role of Collaborations in the Sapphire Scientific Data Mining Project,” 37th Symposium on the Interface: Computing Science and Statistics, June 8-12, St. Louis, 2005. UCRL-PRES-212703.

2004

Cantu-Paz, E., Newsam, S., and Kamath, C., “Feature Selection in Scientific Applications,” Center for Advanced Signal and Image Sciences (CASIS) Workshop, Lawrence Livermore National Laboratory, November 18-19, 2004. UCRL-ABS-207635.
Manay, S. and C. Kamath, “Contrast enhancement methods for Image Data,” Center for Advanced Signal and Image Sciences (CASIS) Workshop, Lawrence Livermore National Laboratory, November 18-19, 2004. UCRL-PRES-208054.
Newsam, S. and C. Kamath, “Comparing Shape and Texture Features for Pattern Recognition in Simulation Data,” Center for Advanced Signal and Image Sciences (CASIS) Workshop, Lawrence Livermore National Laboratory, November 18-19, 2004. UCRL-PRES-208018.
C. Kamath and T. Nguyen, “Comparing Simulations to experiments: Early Experiences,” Center for Advanced Signal and Image Sciences (CASIS) Workshop, Lawrence Livermore National Laboratory, November 18-19, 2004. UCRL-PRES-208062.
C. Kamath, “Scientific Data Mining: The Sapphire Project,” Poster, New Directions – Women of Influence in the National Laboratories, Berkeley, Oct. 26-27, 2004. UCRL-POST-207417.
Roberts, G. M., Cheung, S.C., Kamath, C., and Newsam, S., “Variance-based Feature Tracking,” Summer Student Research Symposium, Lawrence Livermore National Laboratory, August 12, 2004. UCRL-POST-205650.
Bagherjeiran, A., and Cantu-Paz, E., “Design and Implementation of an Anomaly Detector,” Summer Student Research Symposium, Lawrence Livermore National Laboratory, August 12, 2004. UCRL-POST-205651.
White. R., S. Newsam, and C. Kamath, “Matching Shape Using Local Descriptors,” Summer Student Research Symposium, Lawrence Livermore National Laboratory, August 12, 2004. UCRL-POST-205648.
C. Kamath, “Scientific Data Mining and Analysis,” Invited presentation, DOE Office of Science Data Management Workshop, SLAC, March 16-18, 2004. UCRL-PRES-202943.

2003

Fodor, I.K. “Using Independent Component Analysis to Separate Signals in Climate Data,” Neyman Seminar, Department of Statistics, University of California, Berkeley, November 2003. UCRL-PRES-151808.
Fodor, I.K., “Statistical techniques to quantify shape similarity,” Signal and Imaging Sciences Workshop, LLNL, November 20-21, 2003. UCRL-ABS-200370.
Newsam, S., “Texture features for image retrieval,” Signal and Imaging Sciences Workshop, LLNL, November 20-21, 2003. UCRL-ABS-200349.
Cantu-Paz, E., “Application of dimensionality reduction techniques to the analysis of fusion physics data,” Signal and Imaging Sciences Workshop, LLNL, November 20-21, 2003. UCRL-ABS-200540.
Cheung, S.-C., “Robust techniques for background subtraction,” Signal and Imaging Sciences Workshop, LLNL, November 20-21, 2003. UCRL-ABS-200371.
Fodor, I.K. “Challenges and opportunities in scientific data mining,” VIGRE seminar, Department of Statistics, UC Berkeley, October 2003. UCRL-PRES- 200590.
Fodor, I.K., C. Kamath, and S.-C. Cheung, “Statistical techniques to find similar objects in images,” Joint Statistical Meetings, San Francisco, CA, August 3-7, 2003. UCRL-PRES-154621.

2002

Cantu-Paz E., and C. Kamath, “Evolving neural networks to identify bent-double galaxies,” Signal and Imaging Sciences workshop, Lawrence Livermore National Laboratory, November 14-15, 2002.
Weeratunga S., and C. Kamath, “Denoising images using non-linear diffusion,” Signal and Imaging Sciences workshop, Lawrence Livermore National Laboratory, November 14-15, 2002. UCRL-PRES-150930.
Kamath, C., E. Cantu-Paz, D. Littau, “Ensembles of Decision trees using histograms,” Signal and Imaging Sciences workshop, Lawrence Livermore National Laboratory, November 14-15, 2002. UCRL-PRES-150928.
Fodor, I.K., and C. Kamath, “Independent component analysis in the atmospheric sciences,” Signal and Imaging Sciences workshop, Lawrence Livermore National Laboratory, November 14-15, 2002. UCRL-PRES-150776.
Fodor, I.K., and C. Kamath, “Dimension reduction and sampling in the scientific data management center: SDM ISIC all-hands meeting,” San Diego, CA, September 11-13, 2002. UCRL-PRES-149962.
Fodor, I. K. and C. Kamath, “On the use of independent component analysis to separate meaningful sources in global temperature series,” Joint Statistical Meetings, New York, NY, August 11-15, 2002. UCRL-PRES-146972.
Kamath, C., “The Sapphire Approach to Mining Science Data,” presentation at the TriValley Software Showcase, Pleasanton, May 2002, UCL-PRES-148257.
Kamath, C., and I.K. Fodor, “Dimension reduction and sampling in the scientific data management center: SDM ISIC all-hands meeting,” Gatlinburg, TN, March 2002, UCRL-PRES-147626.
Kamath, C., “Sapphire System Architecture,” IPAM short program on Mathematical Challenges in Scientific Data Mining, UCLA, January 14-18, 2002. UCRL-PRES-146654.
Fodor, I. K., and C. Kamath, “Mining the FIRST Astronomical Survey,” IPAM short program on Mathematical Challenges in Scientific Data Mining, UCLA, January 2002. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-145672-ABS. [PDF]
Fodor, I. K., and C. Kamath, “Exploring the use of Wavelet Thresholding for Denoising Images,” IPAM short program on Mathematical Challenges in Scientific Data Mining, UCLA, January 2002. Also available as Lawrence Livermore National Laboratory technical report, UCRL- JC-145671-ABS. [PDF]

2001

Fodor, I. K., and C. Kamath, “Simple dimension reduction techniques in data mining,” Signal and Imaging Sciences Workshop, Lawrence Livermore National Laboratory, November 19-20, 2001. UCRL-PRES-146035.
Kamath, C., and E. Cantú-Paz, “Creating ensembles of decision trees by randomizing the decision at a node,” Signal and Imaging Sciences Workshop, Lawrence Livermore National Laboratory, November 19-20, 2001. UCRL-PRES-146027.
Kamath, C., “The Sapphire Data Mining Project: An Overview,” Signal and Imaging Sciences Workshop, Lawrence Livermore National Laboratory, November 19-20, 2001. UCRL-PRES-146036.
Cantú-Paz, E., “Single vs. Multiple Runs under Constant Computation Cost,” poster presentation at GECCO 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-142172. [PDF]
Kamath, C., “Mining Science Data: The Sapphire Approach,” presentation at the Colloquium, Computer Science and Electrical Engineering Departments, University of Nevada, Reno, April 26, 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-143254.
Fodor, I. K., “Statistical Issues in Data Mining,” presentation at the Fifth North American Meeting of New Researchers in Statistics and Probability, Georgia Institute of Technology, Atlanta, July 2001. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-142212.
Cantu-Paz, E., and C. Kamath, “Sapphire: Mining Scientific Datasets,” invited presentation at the Joint Statistical Meetings, August 2001, Atlanta. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-142044-abs.
Fodor, I. K., and C. Kamath, “Non-linear methods in data mining: Comparison of 2D Wavelet De-noising Methods,” poster at the MSRI workshop on Nonlinear Estimation and Classification, March 2001, Berkeley. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-141738.

2000

Fodor, I. K., and C. Kamath, “Wavelet-Based Denoising Techniques in Sapphire,” presentation at the CASIS Workshop, November 16-17, LLNL, 2000. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-141298 abs, and UCRL-VG-141298.
Cantu-Paz, E., and C. Kamath, “Improving the Performance of Linear Decision Trees with Evolutionary Algorithms,” presentation at the CASIS Workshop, November 16-17, LLNL, 2000. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-141297 abs, and UCRL-VG-141297.
Kamath, Chandrika, “Distributed and Parallel Data Mining: Advances and Future Directions,” Panel discussion at the Workshop on Distributed and Parallel Knowledge Discovery, at the Knowledge Discovery and Data Mining Conf., Boston, August 20-23, 2000. Also available as Lawrence Livermore National Laboratory technical report UCRL-VG-140067.
Fodor, Imola, “The Search for Bent-Double Galaxies: Latest Results,” presented at the Second Workshop on Mining Scientific Datasets, Minneapolis, MN, July 20-21, 2000. Also available as Lawrence Livermore National Laboratory technical report, UCRL-JC-139561.
Kamath, Chandrika, “On Oblique Decision Trees and Evolutionary Algorithms,” presented at the Second Workshop on Mining Scientific Datasets, Minneapolis, MN, July 20-21, 2000. Also available as Lawrence Livermore National Laboratory technical report, UCRL-VG-139515.

1999

Fodor, Imola, Philip Duffy, Chandrika Kamath, and Chuck Baldwin, “Effect of Missing Data on the Apparent Trend in the Earth’s Surface Temperature since 1860, “presented at the American Geophysical Union, Annual Fall Meeting, San Francisco, CA, 1999. Also available as Lawrence Livermore National Laboratory technical report. UCRL-VG-135586.
Kamath, Chandrika, Erick Cantú-Paz, Nu Ai Tang, “Sapphire: A High-Performance Object-Oriented Framework for Mining Scientific Datasets,” Presentation at the Third Int. Symposium for Computing in Object-oriented Parallel Environments, San Francisco, CA, December 1999. Also available as Lawrence Livermore National Laboratory technical report. UCRL-JC-136633.
Kamath, Chandrika, “Sapphire: An Object-oriented Framework for Mining Science Data,” presented at the First Workshop on Mining Scientific Datasets, Minneapolis, MN, September 1999. Also available as Lawrence Livermore National Laboratory technical report. UCRL-JC-135563.

1998

Becker, Bob, and Chandrika Kamath, “Statistics, Pattern Recognition, and Astrophysics,” Neyman seminar conducted for the University of California, Berkeley, Department of Statistics, October 14, 1998. UCRL-MI-132093. [PDF]
Kamath, Chandrika, “Sapphire: Data Mining and Pattern Recognition for Large and Complex Science Data,” Women’s Technical and Professional Symposium, San Ramon, CA, October 15-16, 1998. UCRL-MI-132151. [PDF]