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| Wednesday, June 10, 2015 | ||
| 6:00 PM – 8:00 PM | Registration | Platinum Grand Ballroom E Entrance |
| 7:00 PM – 9:00 PM | Opening Reception | Foyer |
| Thursday, June 11, 2015 | ||
| 7:45 AM – 9:15 AM | Continental Breakfast | Foyer |
| 8:00 AM – 5:00 PM | Registration | Platinum Grand Ballroom E Entrance |
| 8:30 AM – 9:00 AM | Welcome | Platinum Grand Ballroom E |
| Introductions Jim Harner, West Virginia University | ||
| Welcoming Remarks E. Gordon Gee, President, West Virginia University | ||
| 9:00 AM – 10:00 AM | Keynote Address | Platinum Grand Ballroom E |
| Divide & Recombine with Tessera: Analyzing Larger and More Complex Data [slides] Bill Cleveland, Purdue University | ||
| 10:00 AM – 10:30 AM | Morning Break | Foyer |
| 10:30 AM – 12:15 PM | Technical Sessions | |
| Invited Session | Big Data Analytics Using R | Platinum Grand Ballroom E |
| Organizer: Jim Harner, West Virginia University | ||
| Big Data Analytics with R and Hadoop [slides] Jamie Olson, Microsoft/ Revolution Analytics | ||
| Running Hadoop and Spark from R Using Docker Containers [slides] Jim Harner and Mark Lilback, West Virginia University | ||
| Big Data & Hadoop: The Future of the Information Economy Sirish Shrestha, West Virginia University | ||
| Invited Session | Statistical Machine Learning | Waterfront |
| Organizer: Brad Price, University of Miami | ||
| Convex Biclustering [slides] Eric C. Chi, Rice University | ||
| Multiclass Sparse Discriminant Analysis Qing Mai, Florida State University | ||
| Reducing Response Categories in Multinomial Logistic Regression [slides] Brad Price, University of Miami | ||
| Invited Session | Text and Natural Language Processing | Wharf B |
| Organizer: Joe Marr, SYNTASA | ||
| Text Encoding for Protein Structure Representation [slides] Jun Tan, West Virginia University | ||
| Steps Toward the Automated Assembly of Knowledge Bases from Text [slides] Joe Marr, SYNTASA | ||
| 12:15 PM – 1:45 PM | Lunch | |
| 1:45 PM – 3:30 PM | Technical Sessions | |
| Invited Session | Big Data Processing with Apache Spark | Platinum Grand Ballroom E |
| Organizer: Vadim Bichutskiy, George Mason University | ||
| Apache Spark Overview Vadim Bichutskiy, George Mason University | ||
| SparkR: Big Data Processing with Apache Spark and R Hao Lin, Purdue University | ||
| Invited Session | Machine Learning Case Studies | Waterfront |
| Organizer: Larry Wasserman, Carnegie Mellon University | ||
| Active Learning of Linear Separators with Noise [slides] Nina Balcan, Carnegie Mellon University | ||
| Statistical View of Deep Learning Russ Salakhutdinov, University of Toronto | ||
| Scalable Learning on Distributions and Functions Junier Oliva, Carnegie Mellon University | ||
| Contributed Session | Statistical Applications | Wharf B |
| Organizer: TBA | ||
| 3:30 PM – 4:00 PM | Afternoon Break | Foyer |
| 4:00 PM – 5:45 PM | Technical Sessions | |
| Invited Session | RHadoop Tutorial | Platinum Grand Ballroom E |
| RHadoop: MapReduce Jobs in R Jamie Olson, Microsoft/ Revolution Analytics | ||
| Invited Session | High-dimensional Data Analysis | Waterfront |
| Organizer Eric Chi, Rice University | ||
| Structured Principal Components Analysis Jing Lei, Carnegie Mellon University | ||
| ShapeFit: Exact Location Recovery from Corrupted Pairwise Directions Paul Hand, Rice University | ||
| Within Group Variable Selection Through the Exclusive Lasso Frederick Campbell, Rice University | ||
| Contributed Session | Statistical Learning | Waterfront |
| Organizer: TBA | ||
| A Comparative Study of Different R Frameworks for Large Graph-Based Semi-Supervised Learning Prithish Banerjee, West Virginia University | ||
| Improving Predictions for Tree Ensembles using Distributions of Estimated Probabilities with Applications in Record Linkage [slides] Samuel Ventura, Carnegie Mellon University | ||
| Parallel Random KNN Classification and Regression with Variable Selection Shengqiao Li, West Virginia University | ||
| Generalization for Streaming Data [slides] Michael Spece, Carnegie Mellon University | ||
| 6:00 PM – 7:15 PM | Mixer | Foyer |
| Sponsor: Revolution Analytics | ||
| Entertainment: Hot Mofongo (6:30-7:15 PM) | ||
| Poster Session | Foyer | |
| TBA Bob Britten, West Virginia University | ||
| An Application of the Mellin transform in the solution of the Black-Scholes euqation [slides] Adetokunbo Fadahunsi, West Virginia University | ||
| Towards an Open Source, Systems-Integrating Spatial Decision Support Framework for Urban Public Health Environments Marynia Kolak, Arizona State University | ||
| A Study of the Relationship between Stock with Sentiments for Different Brands Neeraj Kumar, Prithish Banerjee, and Sanket Joshi, West Virginia University | ||
| About Recovering the Regression Functions Using Moments Robert Mnatsakanov and Broti Garai, West Virginia University | ||
| Hitting the Wall: Mixture Models of Long Distance Running Strategies [slides] Joseph Pane and Rebecca Nugent, Carnegie Mellon University | ||
| A Universal Java API for Extracting Social Networking Data [slides] Jesus Ruvalcaba and Weidong Liao, Shepherd University | ||
| 7:15 PM – 8:30 PM | Banquet | Platinum Grand Ballroom D |
| Entertainment: Hot Mofongo (7:45-8:30 PM) | ||
| 8:30 PM – 9:30 PM | Banquet Keynote | Platinum Grand Ballroom D |
| Data Science: The End of Statistics? [slides] Larry Wasserman, Carnegie Mellon University | ||
| Friday, June 12, 2015 | ||
| 7:45 AM – 9:15 AM | Continental Breakfast | Foyer |
| 8:00 AM – 5:00 PM | Registration | Platinum Grand Ballroom E Entrance |
| 8:15 AM – 10:00 AM | Technical Sessions | |
| Invited Session | Tessera Tutorial I | Platinum Grand Ballroom E |
| Tessera: An Environment for the Analysis and Visualization of Large Complex Data [slides] Amanda White, Pacific Northwest National Laboratory & Ryan Hafen, Hafen Consulting | ||
| Invited Session 6 | Panel: Developing Data Science Programs | Waterfront |
| Organizer: Mahbubul Majumder, University of Nebraska at Omaha | ||
| Panelist: [slides] Jim Harner, West Virginia University | ||
| Panelist: John Konvalina, University of Nebraska at Omahay | ||
| Panelist: Rida Moustafa, Walmart | ||
| Panelist: [slides] Brad Price, University of Miami | ||
| Panelist: Jeremy Terry, Mylan | ||
| Invited Session | Network Data Models | Wharf B |
| Organizer: Shawn Mankad, University of Maryland | ||
| Social Network Inference From Grouped Observations Using Star Models Yunpeng Zhao, George Mason University | ||
| Graphlet Kernels for Vertex Classification [slides] Jose Lugo-Martinez, Indiana University | ||
| Analysis of Multiview Legislative Networks with Structured Matrix Factorization: Does Twitter In#uence Translate to the Real World? [slides] Shawn Mankad, University of Maryland | ||
| 10:00 AM – 10:30 AM | Morning Break | Foyer |
| 10:30 AM – 12:15 PM | Technical Sessions | |
| Invited Session | Tessera Tutorial II | Platinum Grand Ballroom E |
| Tessera: An Environment for the Analysis and Visualization of Large Complex Data (cont.) [slides] Amanda White, Pacific Northwest National Laboratory & Ryan Hafen, Hafen Consulting | ||
| Invited Session | Panel: Collaboration Among Data Scientists, Statisticians, and Domain Experts | Waterfront |
| Organizer: Arnold Goodman, Collaborative Data Solutions and Juergen Symanzik, Utah State University | ||
| Panelist: [slides] Tim Hesterberg, Google | ||
| Panelist: [slides] Ashu Kumar, Mylan | ||
| Panelist: [slides] Shawn Mankad, University of Maryland | ||
| Panelist: [slides] Arnold Goodman, Collaborative Data Solutions | ||
| Invited Session | Best of Computational and Graphical Statistics | Wharf B |
| Organizer: Thomas Lee, University of California Davis | ||
| Monte Carlo Algorithms for Identifying Densely Connected Subgraphs Yuguo Chen, University of Illinois | ||
| Penalized Fast Subset Scanning [slides] Daniel B. Neill, Carnegie Mellon University | ||
| Efficient Implementations of the Generalized Lasso Dual Path Algorithm [slides] Ryan Tibshirani, Carnegie Mellon | ||
| 12:15 PM – 1:45 PM | Lunch | |
| 1:45 PM – 3:30 PM | Technical Sessions | |
| Invited Session | Computational Environments for Divide & Recombine Analysis of Large Complex Data | Platinum Grand Ballroom E |
| Organizer: Bill Cleveland, Purdue University | ||
| A Designed Experiment on E!ects of Dataset, Hadoop, and Hardware Factors on D&R Computational Performance Bill Cleveland and Doug Crabill, Purdue University | ||
| Interface, Design, and Computational Considerations for D&R [slides] Ryan Hafen, Hafen Consulting | ||
| Invited Session | Software Developments for Maps and Waterfront Spatial Data I | Waterfront |
| Organizer: Juergen Symanzik, Utah State University | ||
| Visualizing Global Cluster-Compressed Multivariable and Multi-altitude Atmospheric Data: Old Software Tools and More Recent Graphics Dan Carr, George Mason University | ||
| GeoDa Web - Enhancing Web-Based Mapping with Spatial Analytics [slides] Xun Li, Luc Anselin and Julia Koschinsky, Arizona State University | ||
| Recent Advances in Spatial Visualization with ggmap [slides] David Kahle, Baylor University | ||
| Invited Session | Best of Statistical Analysis and Data Mining | Wharf B |
| Organizer: Alan Izenman, Temple University | ||
| Feature Import Vector Machine: A General Classifier with Flexible Feature Selection [slides] Samiran Ghosh, Wayne State University School of Medicine | ||
| Dual-Tree Fast Exact Max-Kernel Search Ryan R. Curtin, Georgia Institute of Technology | ||
| Contour Regression: A Distribution-Regularized Regression Framework for Climate Modeling [slides] Zubin Abraham, Bosch Research | ||
| 3:30 PM – 4:00 PM | Afternoon Break | Foyer |
| 4:00 PM – 5:45 PM | Technical Sessions | |
| Invited Session | Deep Learning Tutorial | Platinum Grand Ballroom E |
| Overview of Deep Learning Russ Salakhutdinov Russ Salakhutdinov, University of Toronto | ||
| Invited Session | Big Data Analytics Using SAS | Waterfront |
| Organizer Radhika Kulkami, SAS Institute | ||
| High-Performance Statistical Modeling Procedures in SAS Robert N. Rodriguez, SAS Institute | ||
| Event Stream Processing for Power Grid Analysis [slides] Brad Klenz, SAS Institute | ||
| Invited Session | Software Developments for Maps and Spatial Data II | Wharf B |
| Organizer Juergen Symanzik, Utah State University | ||
| mapStats: an R Package for Geographic Visualization of Survey Data Sam Ackerman, Temple University | ||
| The SWEVIS R Package for Forecasting and Visualization of Snow Water Equivalent Data [slides] James Odei, The Ohio State University | ||
| Shapefile Modification in R as the Basis for Linked Micromap Plots for New Geographic Regions [slides] Juergen Symanzik, Utah State University | ||
| 7:00 PM – 8:30 PM | IFNA Board Meeting (By Invitation) | Puskar Boardroom |
| Saturday, June 13, 2015 | ||
| 8:15 AM – 10:00 AM | Technical Sessions | |
| Invited Session | SparkR Tutorial | Platinum Grand Ballroom E |
| Introduction to SparkR [slides] Hao Lin, Purdue University | ||
| Invited Session | Exoplanet Detection | Waterfront |
| Organizer Don Faxon, George Mason University | ||
| Introduction to Exoplanet Delection Don Faxon, George Mason University | ||
| On Detecting Exoplanets and Planetary Distributions Moving Forward Ryan Pfeifle, George Mason University; NASA Goddard Space Flight Cente and Andrew Hornstra, George Mason University | ||
| Contributed Session | Clustering | Wharf B |
| Organizer TBA | ||
| Identifying Ridership Patterns in an Urban Bicycle Sharing System via Poisson Mixture Models [slides] Hans Engler, Georgetown university | ||
| Analysis of Census Data With Clustering Techniques Jonah Williams, University of Nebraska at Omaha | ||
| Think small [slides] Bryan Lewis, Paradigm4, Inc. | ||
| 10:00 AM – 10:30 AM | Morning Break | Foyer |
| 10:30 AM – 12:15 PM | Technical Sessions | |
| Invited Session | Streaming Data/ RStorm Tutorial | Platinum Grand Ballroom E |
| Organizer Kyle Caudle, South Dakota School of Mines & Technology | ||
| Forecasting Data Streams: Next Generation Flow Field Forecasting [slides] Kyle Caudle, South Dakota School of Mines & Technology | ||
| twitterRStorm: Prototyping a Streaming Framework for Analyzing Tweets with Storm Doug Raffle, West Virginia University | ||
| An Introduction to Real-time Computation with RStorm and TwitteR Doug Raffle, West Virginia University | ||
| Invited Session | National Security | Waterfront |
| Organizer Barry Bodt, Army Research Laboratory & Timothy Hanratty, Army Research Laboratory | ||
| SPARQL on Hadoop using Apache Hive and Jena SDB Eric Nagler and Alex Vertlieb, CUBRC | ||
| NLP Entity Analytics and Logo Recognition in the Cloud: Military and Commercial Use Cases [slides] Jack Davenport, DECISIVE ANALYTICS Corporation | ||
| 12:30 PM – 1:00 PM | Closing Remarks | Platinum Grand Ballroom E |