CIDU 2011: Mountain View, CA, USA

Session 1

• Rajarshi Mallik, Hillol Kargupta:
  A Sustainable Approach for Demand Prediction in Smart Grids using a Distributed Local Asynchronous Algorithm. 1-15
  
• Anne Kao, Steve Poteet, David Augustine:
  P-MATCH and QUBIT - Methods for Extracting Critical Information from Free Text Data for Systems Health Management. 16-29
  
• Jaya Kawale, Stefan Liess, Arjun Kumar, Michael Steinbach, Auroop Ganguly, Nagiza F. Samatova, Fredrick H. M. Semazzi, Peter K. Snyder, Vipin Kumar:
  Data Guided Discovery of Dynamic Climate Dipoles. 30-44
  

Session 2

• Varun Mithal, Ashish Garg, Ivan Brugere, Shyam Boriah, Vipin Kumar, Michael Steinbach, Christopher Potter, Steven A. Klooster:
  Incorporating Natural Variation into Time Series-Based Land Cover Change Detection. 45-59
  
• Mohammad Salim Ahmed, Latifur Khan, Nikunj C. Oza:
  Pseudo-Label Generation for Multi-Label Text Classification. 60-75
  
• Maxime Gariel, Kevin Spieser, Emilio Frazzoli:
  On the Statistics and Predictability of Go-Arounds. 75-91
  

Session 3

• Zubin Abraham, Pang-Ning Tan, Fan Xin:
  Smoothed Quantile Regression for Statistical Downscaling of Extreme Events in Climate Modeling. 92-106
  
• Dimitrios Giannakis, Andrew J. Majda:
  Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model. 107-117
  
• David Thompson, Walid Majid, Kiri Wagstaff, Colorado Reed:
  Semi-Supervised Novelty Detection with Adaptive Eigenbases, and Application to Radio Transients. 118-128
  

Session 4

• Dunke Zhou, Tao Shi:
  Statistical Inference Based on Distances Between Empirical Distributions with Applications to AIRSLevel-3 Data. 129-143
  
• Ashish Garg, Lydia Manikonda, Shashank Kumar, Vikrant Krishna, Shyam Boriah, Michael Steinbach, Durga Toshnival, Vipin Kumar, Christopher Potter, Steven A. Klooster:
  A Model-Free Time Series Segmentation Approach for Land Cover Change Detection. 144-158
  
• Laurent El Ghanoui, Guan-Cheng Li, Viet-An Duong, Vu Pham, Ashok N. Srivastava, Kanishka Bhaduri:
  Sparse Machine Learning Methods for Understanding Large Text Corpora. 159-173
  
• S. George Djorgovski, Ciro Donalek, Ashish Mahabal, Baback Moghaddam, Mike Turmon, Matthew Graham, Andrew J. Drake, Nihar Sharma, Yutong Chen:
  Towards an Automated Classification of Transient Events in Synoptic Sky Surveys. 174-188
  

Session 5

• Jaya Kawale, Snigdhansu Chatterjee, Arjun Kumar, Stefan Liess, Michael Steinbach, Vipin Kumar:
  Anomaly Construction in Climate Data: Issues and Challenges. 189-203
  
• Duo Zhang, ChengXiang Zhai, Jiawei Han:
  MiTexCube: MicroTextCluster Cube for Online Analysis of Text Cells. 204-218
  
• Linkan Bian, Nagi Gebraeel:
  A Stochastic Methodology for Prognostics Under Time-Varying Environmental Future Profiles. 219-231
  

Session 6

• Kamalika Das, Ashok N. Srivastava:
  Sparse Inverse Gaussian Process Regression with Application to Climate Network Discovery. 233-247
  
• Yashu Chamber, Ashish Garg, Varun Mithal, Ivan Brugere, Vipin Kumar, Michael Lau, Michael Steinbach, Christopher Potter, Steven A. Klooster, Vikrant Krishna, Shyam Boriah:
  A Novel Time Series Based Approach to Detect Gradual Vegetation Changes in Forests. 248-262
  
• Ganeshchandra Mallya, Shivam Tripathi, Rao S. Govindaraju:
  A Machine Learning Approach for Probabilistic Drough Classification. 263-275
  

Poster Abstracts

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