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Massive Data Sets: Proceedings of a Workshop (1997)
Commission on Physical Sciences, Mathematics, and Applications (CPSMA)

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. "FRONT MATTER." Massive Data Sets: Proceedings of a Workshop. Washington, DC: The National Academies Press, 1997.

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Part III
Additional Invited Papers

 

 

 

 

Massive Data Sets and Artificial Intelligence Planning
Robert St. Amant and Paul R. Cohen, University of Massachusetts

 

105

 

 

Massive Data Sets: Problems and Possibilities, with Application to Environment
Noel Cressie, Iowa State University Anthony Olsen, U.S. Environmental Protection Agency Dianne Cook, Iowa State University

 

115

 

 

Visualizing Large Datasets
Stephen G. Eick, Bell Laboratories (A Division of Lucent Technologies)

 

121

 

 

From Massive Data Sets to Science Catalogs: Applications and Challenges
Usama Fayyad, Microsoft Research Padhraic Smyth, University of California, Irvine

 

129

 

 

Information Retrieval and the Statistics of Large Data Sets
David D. Lewis, AT&T Bell Laboratories

 

143

 

 

Some Ideas About the Exploratory Spatial Analysis Technology Required for Massive Databases
Stan Openshaw, Leeds University

 

149

 

 

Massive Data Sets in Navy Problems
J.L. Solka, W.L. Poston, and D.J. Marchette, Naval Surface Warfare Center E.J. Wegman, George Mason University

 

157

 

 

Massive Data Sets Workshop: The Morning After
Peter J. Huber, Universität Bayreuth

 

169

Part IV
Fundamental Issues and Grand Challenges

 

185

 

 

Panel Discussion
Moderator: James Hodges, University of Minnesota

 

187

 

 

Items for Ongoing Consideration

 

203

 

 

Closing Remarks
Jon Kettenring, Bellcore

 

205

Appendix: Workshop Participants

 

207

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FRONT MATTER (R1-R10)
Opening Remarks (1-2)
PART I Participant's Expectations for the Workshop (3-12)
PART II Applications Papers (13-14)
Earth Observation Systems: What Shall We Do with the Data we Are Expecting in 1998? (15-22)
Information Retrieval: Finding Needles in Massive Haystacks (23-32)
Statistics and Massive Data Sets: one View from the Social Sciences (33-38)
The Challenge of Functional Magnetic Resonance Imaging (39-46)
Marketing (47-50)
Massive Data Sets: Guidelines and Practical Experience from Health Care (51-68)
Massive Data Sets in Semiconductor Manufacturing (69-76)
Management Issues in the Analysis of Large-Scale Crime Data Sets (77-80)
Analyzing Telephone Network Data (81-92)
Massive Data Assimilation/Fusion in Atmospheric Models and Analysis: Statistical, Physical, and Computational Challenges (93-103)
PART III Additional Invited Papers (103-104)
Massive Data Sets and Artificial Intelligence Planning (105-114)
Massive Data Sets: Problems and Possiblities, with Application to Environmental Monitoring (115-120)
Visualizing Large Datasets (121-128)
From Massive Data Sets to Science Catalogs: Applications and Challenges (129-142)
Information Retrieval and the Statistics of Large Data Sets (143-148)
Some Ideas About the Exploratory Spatial Analysis of Large Data Sets (149-156)
Massive Data Sets in Navy Problems (157-168)
Massive Data Sets Workshop: The Morning After (169-184)
PART IV Fundamental Issues and Grand Challenges (185-186)
Panel Discussion (187-202)
Items for Ongoing Consideration (203-204)
Closing Remarks (205-206)
Appendix: Workshop Participants (207-208)