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13th SSDBM 2001: Fairfax, Virginia, USA
- Proceedings of the 13th International Conference on Scientific and Statistical Database Management, July 18-20, 2001, George Mason University, Fairfax, Virginia, USA. IEEE Computer Society 2001, ISBN 0-7695-1218-6

Invited Tutorial
- Maria Halkidi, Yannis Batistakis, Michalis Vazirgiannis:

Clustering Algorithms and Validity Measures. 3-22
Statistical Databases
- Haralambos Papageorgiou, Fragkiskos Pentaris, Eirini Theodorou, Maria Vardaki, Michalis Petrakos

:
Modeling Statistical Metadata. 25-35 - Alex Dekhtyar, Judy Goldsmith, Sean R. Hawkes:

Semistructured Probalistic Databases. 36-45
Index Structures for SSDBM
- Walid G. Aref, Ihab F. Ilyas:

An Extensible Index for Spatial Databases. 49-58 - Cyrus Shahabi, Seokkyung Chung, Maytham Safar, George Hajj:

2D TSA-tree: A Wavelet-Based Approach to Improve the Efficiency of Multi-Level Spatial Data Mining. 59-68 - Arunprasad P. Marathe

:
Tracing Lineage of Array Data. 69-78
Data Mining and OLAP
- Themistoklis Palpanas, Nick Koudas:

Entropy Based Approximate Querying and Exploration of Datacubes. 81-90 - Hans-Joachim Lenz, Bernhard Thalheim:

OLAP Databases and Aggregation Functions. 91-100 - Mikael R. Jensen, Thomas H. Møller, Torben Bach Pedersen:

Specifying OLAP Cubes On XML Data. 101-112
Query Processing, Optimization and Constraints
- Ranga Raju Vatsavai, Thomas E. Burk, Shashi Shekhar, Mark H. Hansen:

An efficient query strategy for integrated Remote Sensing and inventory (Spatial) Databases. 115-123 - Agathoniki Trigoni

, Ken Moody:
Using Association Rules to Add or Eliminate Query Constraints Automatically. 124-133 - Graham J. L. Kemp, Peter M. D. Gray, Andreas R. Sjöstedt:

Rewrite Rules for Quantified Subqueries in a Federated Database. 134-143
Clustering Techniques
- Ekow J. Otoo, Arie Shoshani, Seung-won Hwang:

Clustering High dimensional Massive Scientific Dataset. 147-157 - Jong P. Yoon, Vijay V. Raghavan, Venu Chakilam:

BitCube: A Three-Dimensional Bitmap Indexing for XML Documents. 158-167
System Architectures and Methods
- Chad Berkley, Matthew B. Jones

, Jivka Bojilova, Daniel Higgins Metacat:
a Schema-Independent XML Database System. 171-179 - James Frew, Rajendra Bose:

Earth System Science Workbench: A Data Management Infrastructure for Earth Science Products. 180-189 - Jesper Fredriksson, Per Svensson:

Evolutionary Design and Development of Image Meta-Analysis Environments Based on Object-Relational Database Mediator Technology. 190-199
Performance of Spatio-Temporal Data Structures
- Kenneth A. Ross, Inga Sitzmann, Peter J. Stuckey:

Cost-based Unbalanced R-Trees. 203-212 - Chung-Min Chen, Rakesh K. Sinha, Randeep Bhatia:

Efficient Disk Allocation Schemes for Parallel Retrieval of Multidimensional Grid Data. 213-222 - Yufei Tao

, Dimitris Papadias:
Efficient Historical R-trees. 223-232
Panel Session
- Silvia Nittel:

The Science Data Highway - where are we today? 235
Poster and Demo Session
- Cedric Raguenaud, Martin Graham, Jessie B. Kennedy:

Two Approaches to Representing Multiple Overlapping Classifications: a Comparison. 239-244 - Sidney C. Bailin, Walt Truszkowski:

Ontology Negotiation between Scientific Archives. 245-250 - Ruixin Yang, Xinhua Deng, Menas Kafatos, Changzhou Wang, Xiaoyang Sean Wang:

An XML-Based Distributed Metadata Server (DIMES) Supporting Earth Science Metadata. 251-256 - Kwang-Su Yang, Ruixin Yang, Menas Kafatos:

A Feasible Method to Find Areas with Constraints Using Hierarchical Depth-First Clustering. 257-262 - Manuel Rodríguez-Martínez, Nick Roussopoulos, John M. McGann:

Integrating distributed Scientific Data Sources with MOCHA and XRoaster. 263-266 - David R. Mikesell, John L. Pfaltz:

Exploring the Behavior of the Spring Ecosystem Model Using An Object-Oriented Database System. 267-269 - Owen A. Kelley, John Stout, Menas Kafatos:

Content-Based Browsing of Data from the Tropical Rainfall Measuring Mission (TRMM). 270-273 - Ambrose Lewis, Jacob Berlin, Ted Meyer, Stepan Kruglikov, Steve Miller, John W. Lyver IV, Ray Gharavi:

An Information System for Distillation Data Farming. 274-277

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