Committee on Applied and Theoretical Statistics, National Research Council

• 1 FRONT MATTER; 2 Opening Remarks; 3 PART I Participant's Expectations for the Workshop; 4 PART II Applications Papers; 5 Earth Observation Systems: What Shall We Do with the Data we Are Expecting in 1998?; 6 Information Retrieval: Finding Needles in Massive Haystacks; 7 Statistics and Massive Data Sets: one View from the Social Sciences; 8 The Challenge of Functional Magnetic Resonance Imaging; 9 Marketing; 10 Massive Data Sets: Guidelines and Practical Experience from Health Care; 11 Massive Data Sets in Semiconductor Manufacturing; 12 Management Issues in the Analysis of Large-Scale Crime Data Sets; 13 Analyzing Telephone Network Data; 14 Massive Data Assimilation/Fusion in Atmospheric Models and Analysis: Statistical, Physical, and Computational Challenges; 15 PART III Additional Invited Papers; 16 Massive Data Sets and Artificial Intelligence Planning; 17 Massive Data Sets: Problems and Possiblities, with Application to Environmental Monitoring; 18 Visualizing Large Datasets; 19 From Massive Data Sets to Science Catalogs: Applications and Challenges; 20 Information Retrieval and the Statistics of Large Data Sets; 21 Some Ideas About the Exploratory Spatial Analysis of Large Data Sets; 22 Massive Data Sets in Navy Problems; 23 Massive Data Sets Workshop: The Morning After; 24 PART IV Fundamental Issues and Grand Challenges; 25 Panel Discussion; 26 Items for Ongoing Consideration; 27 Closing Remarks; 28 Appendix: Workshop Participants

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Committee on Applied and Theoretical Statistics, National Research Council

• 1 FRONT MATTER; 2 Opening Remarks; 3 PART I Participant's Expectations for the Workshop; 4 PART II Applications Papers; 5 Earth Observation Systems: What Shall We Do with the Data we Are Expecting in 1998?; 6 Information Retrieval: Finding Needles in Massive Haystacks; 7 Statistics and Massive Data Sets: one View from the Social Sciences; 8 The Challenge of Functional Magnetic Resonance Imaging; 9 Marketing; 10 Massive Data Sets: Guidelines and Practical Experience from Health Care; 11 Massive Data Sets in Semiconductor Manufacturing; 12 Management Issues in the Analysis of Large-Scale Crime Data Sets; 13 Analyzing Telephone Network Data; 14 Massive Data Assimilation/Fusion in Atmospheric Models and Analysis: Statistical, Physical, and Computational Challenges; 15 PART III Additional Invited Papers; 16 Massive Data Sets and Artificial Intelligence Planning; 17 Massive Data Sets: Problems and Possiblities, with Application to Environmental Monitoring; 18 Visualizing Large Datasets; 19 From Massive Data Sets to Science Catalogs: Applications and Challenges; 20 Information Retrieval and the Statistics of Large Data Sets; 21 Some Ideas About the Exploratory Spatial Analysis of Large Data Sets; 22 Massive Data Sets in Navy Problems; 23 Massive Data Sets Workshop: The Morning After; 24 PART IV Fundamental Issues and Grand Challenges; 25 Panel Discussion; 26 Items for Ongoing Consideration; 27 Closing Remarks; 28 Appendix: Workshop Participants

Select Guide Rating

Committee on Applied and Theoretical Statistics, National Research Council

• 1 FRONT MATTER; 2 Opening Remarks; 3 PART I Participant's Expectations for the Workshop; 4 PART II Applications Papers; 5 Earth Observation Systems: What Shall We Do with the Data we Are Expecting in 1998?; 6 Information Retrieval: Finding Needles in Massive Haystacks; 7 Statistics and Massive Data Sets: one View from the Social Sciences; 8 The Challenge of Functional Magnetic Resonance Imaging; 9 Marketing; 10 Massive Data Sets: Guidelines and Practical Experience from Health Care; 11 Massive Data Sets in Semiconductor Manufacturing; 12 Management Issues in the Analysis of Large-Scale Crime Data Sets; 13 Analyzing Telephone Network Data; 14 Massive Data Assimilation/Fusion in Atmospheric Models and Analysis: Statistical, Physical, and Computational Challenges; 15 PART III Additional Invited Papers; 16 Massive Data Sets and Artificial Intelligence Planning; 17 Massive Data Sets: Problems and Possiblities, with Application to Environmental Monitoring; 18 Visualizing Large Datasets; 19 From Massive Data Sets to Science Catalogs: Applications and Challenges; 20 Information Retrieval and the Statistics of Large Data Sets; 21 Some Ideas About the Exploratory Spatial Analysis of Large Data Sets; 22 Massive Data Sets in Navy Problems; 23 Massive Data Sets Workshop: The Morning After; 24 PART IV Fundamental Issues and Grand Challenges; 25 Panel Discussion; 26 Items for Ongoing Consideration; 27 Closing Remarks; 28 Appendix: Workshop Participants

Select Guide Rating