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Front Matter i-vi
Sallie Keller-McNulty Welcome and Overview of Sessions 4-4
TRANSCRIPT OF PRESENTATION 5-5
James Schatz Welcome and Overview of Sessions 6-6
TRANSCRIPT OF PRESENTATION 7-9
Douglas Nychka, Chair of Session on Atmospheric and Meteorological Data Introduction by Session Chair 10-10
TRANSCRIPT OF PRESENTATION 11-11
John Bates Exploratory Climate Analysis Tools for Environmental Satellite and Weather Radar Data 12-13
2. Philosophy of the use of remote sensing data for climate monitoring 14-15
TRANSCRIPT OF PRESENTATION 16-27
Amy Braverman Statistical Challenges in the Production and Analysis of Remote Sensing Earth Science Data at the Jet 28-28
TRANSCRIPT OF PRESENTATION 29-41
Ralph Milliff Global and Regional Surface Wind Field Inferences from Spaceborne Scatterometer Data 42-42
TRANSCRIPT OF PRESENTATION 43-51
Global and Regional Surface Wind Field Inferences Given Spaceborne Scatterometer Data Ralph F.Milliff 52-52
GLOBAL AND REGIONAL SURFACE WIND FIELD INFERENCES FROM SPACE-BORNE SCATTEROMETER DATA 53-53
Blending QSCAT and Weather-Center Analysis Winds 54-54
Bayesian Hierarchical Model for Surface Winds in the Tropics 55-55
A Bayesian Hierarchical Air-Sea Interaction Model 56-56
Figure Captions 57-62
Summary 63-63
Report from Breakout Group 64-65
David Scott, Chair of Session on High-Energy Physics Introduction by Session Chair 66-67
TRANSCRIPT OF PRESENTATION 68-68
Robert Jacobsen Statistical Analysis of High Energy Physics Data 69-69
TRANSCRIPT OF PRESENTATION 70-89
Paul Padley Some Challenges in Experimental Particle Physics Data Streams 90-90
ABSTRACT OF PRESENTATION 91-91
TRANSCRIPT OF PRESENTATION 92-113
Miron Livny Data Grids (or, A Distributed Computing View of High Energy Physics) 114-114
TRANSCRIPT OF PRESENTATION 115-133
Report from Breakout Group 134-135
Daryl Pregibon Keynote Address: Graph Mining - Discovery in Large Networks 136-136
ABSTRACT OF PRESENTATION 137-137
TRANSCRIPT OF PRESENTATION 138-164
Sallie Keller-McNulty, Chair of Session on Integrated Data Systems Introduction by Session Chair 165-165
TRANSCRIPT OF PRESENTATION 166-166
J.Douglas Beason Global Situational Awareness 167-167
ABSTRACT OF PRESENTATION 168-168
TRANSCRIPT OF PRESENTATION 169-176
Kevin Vixie Incorporating Invariants in Mahalanobis Distance-Based Classifiers: Applications to Face Recognition 177-177
TRANSCRIPT OF PRESENTATION 178-183
II. COMBINING WITHIN CLASS COVARIANCES AND LINEAR APPROXIMATIONS TO INVARIANCES 184-185
III. FACE RECOGNITION RESULTS 186-186
IV. CONCLUSIONS 187-188
REFERENCES 189-189
John Elder Ensembles of Models: Simplicity (of Function) Through Complexity (of Form) 190-190
TRANSCRIPT OF PRESENTATION 191-206
Report from Breakout Group 207-209
Mark Hansen Untitled Presentation 210-210
TRANSCRIPT OF PRESENTATION 211-222
Wendy Martinez, Chair of Session on Network Traffic Introduction by Session Chair 223-223
TRANSCRIPT OF PRESENTATION 224-224
William Cleveland FSD Models for Open-Loop Generation of Internet Packet Traffic 225-225
ABSTRACT OF PRESENTATION 226-226
TRANSCRIPT OF PRESENTATION 227-249
Johannes Gehrke Processing Aggregate Queries over Continuous Data Streams 250-250
ABSTRACT OF PRESENTATION 251-251
TRANSCRIPT OF PRESENTATION 252-260
Edward Wegman Visualization of Internet Packet Headers 261-262
ABSTRACT OF PRESENTATION 263-263
TRANSCRIPT OF PRESENTATION 264-279
Paul Whitney Toward the Routine Analysis of Moderate to Large-Size Data 280-280
TRANSCRIPT OF PRESENTATION 281-294
Leland Wilkinson, Chair of Session on Mining Commercial Streams of Data Introduction by Session Chair 295-295
TRANSCRIPT OF PRESENTATION 296-297
Lee Rhodes A Stream Processor for Extracting Usage Intelligence from High-Momentum Internet Data 298-298
TRANSCRIPT OF PRESENTATION 299-307
1. INTRODUCTION 308-308
2. BUSINESS CHALLENGES FOR THE NSPs 309-309
3.2 SESSION MEs 310-310
4. DATA STREAMS AND RIVERS 311-312
5. IUM HIGH-LEVEL ARCHITECTURE 313-313
6. STREAM COLLECTION AND NORMALIZATION 314-314
7. STREAM RULE PROCESSING 315-315
8. RULE CHAINS AND ASSOCIATED DATA STRUCTURES 316-317
9.1 CAPTURE MODELS 318-319
9.3 DRILL FORWARD 320-321
9.4 USER INTERACTION WITH STREAMING MODELS 322-323
10. SUMMARY 324-324
REFERENCES 325-325
Pedro Domingos A General Framework for Mining Massive Data Streams 326-326
TRANSCRIPT OF PRESENTATION 327-341
1 The Problem 342-343
2 The Framework 344-344
3 Time-Changing Data 345-345
Reference 346-346
TRANSCRIPT OF PRESENTATION 347-361
Andrew Moore kd- R- Ball- and Ad- Trees: Scalable Massive Science Data Analysis 362-362
TRANSCRIPT OF PRESENTATION 363-388
Concluding Comments 389-389

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Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)

Chapter: TRANSCRIPT OF PRESENTATION

Transcript of Presentation

My Academies

Statistical Analysis of Massive Data Streams: Proceedings of a Workshop (2004)

Chapter: TRANSCRIPT OF PRESENTATION

Transcript of Presentation