Data from Earth-orbiting satellites have been accumulating at a very high rate for several years now. In combination with in-situ observations and physical model output, this enormous, distributed repository holds the answers to important questions about our planet’s past, present and future. However, the information is accessible only if effective analysis capabilities can be brought to bear. Data mining has the potential to provide these capabilities, and, if employed in close coordination with Earth science research, can increase the science return from NASA’s vast Earth science data collection.
The objectives of this Second NASA Data Mining Workshop are to bring together Earth scientists and data miners to match the needs of the scientific community to existing capabilities provided by computer scientists and statisticians, and suggest future research directions they may pursue to help advance Earth science research. In particular, we seek to facilitate formation of collaborative relationships between Earth and data scientists, and identify specific problems those collaborations can address. To those ends, we will:
1. Assess the progress that has been made in Earth science data mining and analysis since the first NASA Data Mining Workshop held in 1999 (see http://projects.itsc.uah.edu/datamining/meeting/); and
2. Identify areas where data mining could potentially yield significant scientific advances in Earth science in the near and medium term.
Call for papers
In order to facilitate an effective exchange of ideas and meaningful discussions, the number of participants will be limited to approximately 40 selected submissions. It is important that all participants commit to being in residence for the full duration of the workshop.
The workshop format will be a combination of oral presentations, posters, breakout sessions, and open plenary discussions. The agenda will be organized around papers submitted in response to the following breakdown of the two, high-level workshop objectives listed above.
1.1 Description of successful projects. We seek papers that describe the nature of the data mining techniques used, and how they contributed to the scientific results of the project. We are also interested in particular characteristics of the collaborative interaction that contributed to the project’s success, or could have been improved.
1.2 New projects. Descriptions of projects that are just getting started, but have a significant data mining component that the authors believe will further the scientific objectives. Papers should describe the data mining techniques used, how the authors anticipate these techniques will contribute to the project’s scientific goals, and how the project is organized to facilitate interaction between Earth scientists and data miners.
2.1 Unsolved scientific problems. Descriptions of difficult scientific problems that have not been successfully addressed, but which the authors feel could potentially be addressed by data mining methods. Papers should describe techniques that have previously been applied, and why they have not been adequate. Authors should also provide some evidence or justification for appropriateness of data mining as a solution, and discuss requirements or constraints that would apply.
2.2 New applications for proven data mining techniques. Descriptions of data mining techniques that have been successfully used in areas outside of Earth science, and which the authors believe would be useful to Earth scientists. Papers could also include techniques that have been used for one area of Earth science research which the authors believe would be applicable to other areas. Authors should address why these techniques have not been previously applied in the proposed area, and what the impediments are to their near-term application.
2.3 New data mining techniques. Descriptions of new data mining techniques emerging from the data mining research community that may not have been previously applied to any real problem, but which the authors believe should be considered for use by the Earth science community. Papers in this group can include speculative ideas for data mining techniques that may still be in the early development stage.
Papers should be typeset in a single-column format, in 12pt font, and for letter or A4 sized paper. Papers should not exceed 4 pages (not counting references), and should be submitted in PDF format.
Please submit your paper to Elaine Dobinson, by email to Elaine.Dobinson@jpl.nasa.gov, with “NASA Data Mining Workshop Submission” in the subject line. Also indicate in your email which topic area (1.1, 1.2, 2.1, 2.2, or 2.3) your paper addresses. Please note that due to time constraints some papers will be selected for oral presentation while others will be posters. All accepted submissions will be published as a NASA technical report.
The revised submission deadline is 11:00 pm (PST), January 31, 2006. Notification of acceptance will be no later than March 17, 2006.
Follow on opportunity
This NASA Data Mining Workshop precedes Interface 2006, the 38th Symposium on the Interface of Computing Science, Statistics and Applications, at the Westin, May 24-27, 2006. A joint reception is scheduled for Wednesday evening (May 24), and a special Interface session will be devoted to the results of this NASA Data Mining Workshop. NASA Data Mining Workshop participants are invited to attend Interface 2006 at the Interface member’s registration rate. Please see http://www.galaxy.gmu.edu/Interface2006/i2006webpage.html for more information.