CALL FOR PAPERS Workshop on Massive Datasets http://www.merl.com/wmd/ at the International Conference on Multimodal Interfaces http://www.acm.org/icmi/2007/ November 15, 2007 Nagoya, Japan Are the tools we use to understand our data scalable to the tens of millions of records, huge spans of time, minute details of behavior, and large geographic extent that future sensor networks will generate? In the future buildings will be studded with sensors. Every movement will generate a few bits of data. Every fluctuation in temperature will be recorded. Every deviation in lighting will be noticed. These large and complex datasets will challenge the tools we use today. Looking into the future of residential and office building Mitsubishi Electric Research Labs (MERL) has been collecting motion sensor data from a network of over 200 sensors for a year. The data is the residual traces of year in the life of a research laboratory. It contains interesting spatio-temporal structure ranging all the way from the seconds of individuals walking down hallways, the minutes in lobbies chatting with colleagues, the hours of dozens of people attending talks and meetings, the days and weeks that drive the patterns of life, to the months and seasons with their ebb and flow of visiting employees. The dataset contains well over 30 million raw motion records, spanning a calendar year and two floors of our research laboratory. As such it presents a significant challenge for behavior analysis, search, manipulation and visualization of the data. We have also prepared accompanying analytics such as partial tracks and behavior detections, as well as map data and anonymous calendar data marking the pattern of meetings, vacations and holidays. MERL is now releasing this data set to the community. We invite you to download the data and apply your analytic, visualization, and interface tools. We hope that you will find new facets of the data and then submit papers to this workshop to compare notes with your colleagues. The goal of the workshop is to understand the state of the art in the context of the huge, detailed dataset of the near future. We solicit papers which utilize the dataset to demonstrate new insights on the data using any of the following techniques, or any other related technique: * Interactive visualization * Interactive search techniques * Pattern discovery * Interactive data mining * On-line learning * Scalable techniques for data analysis and visualization * Event detection and classification * Data summarization Papers should be 8 pages inclusive. Please use the official ACM format: http://www.acm.org/sigs/pubs/proceed/template.html Important Dates: Data Release: June 30, 2007 Paper Submission: August 31, 2007 Notification: September 14, 2007 Camera Ready: September 30, 2007 Organizers: Christopher R. Wren Yuri A. Ivanov (Mitsubishi Electric Research Laboratories) Program Committee (confirmed): Kiyoharu Aizawa (University of Tokyo) Aaron Bobick (Georgia Institute of Technology) Trevor Darrell (Massachusetts Institute of Technology) Irfan Essa (Georgia Institute of Technology) Minkyong Kim (IBM Research) Vladimir Pavlovic (Rutgers University) Thad Starner (Georgia Institute of Technology) Kazuhiko Sumi (Mitsubishi Electric) Andrew Wilson (Microsoft Research) [We apologize if you see multiple copies of this CFP.]