Papers for Presentations
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An Efficient, Cost-Driven Index
Selection Tool for Microsoft SQL Server (VLDB'97), and
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AutoAdmin "What-if" Index
Analysis Utility (VLDB'98)
S. Chaudhuri and Vivek Narasayya
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Lecturer: Gil Nadel
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Bitmap Index Design and Evaluation
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C.Y. Chan and Y.E. Ioannidis.
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Proc. of ACM SIGMOD, Seattle, Washington, June 1998, 355-366.
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Lecturer: Ariel Noy
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Querying the World Wide Web
A.O. Mendelzon, G.A. Mihaila, T. Milo.
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Proc. IEEE Conference on Parallel and Distributed Information
Systems (PDIS), Dec 1996.
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Full version in
Int. Journal of Digital Libraries (JODL) 1:1 (1997), 54-67.
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Lecturer: Golan Weiss
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Compressing Relations and Indexes
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Jonathan Goldstein, Raghu Ramakrishnan, and Uri Shaft.
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ICDE '98
Lecturer: Eyal Shani
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Cached Sufficient Statistics for
Efficient Machine Learning with Large Datasets
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Andrew Moore and Mary Soon Lee
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Journal of Arificial Inteligence Research 8 (1998), 1998.
and
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ADtrees for Fast Counting and for Fast
Learning of Association Rules
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B. Anderson, A. Moore
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KDD, 1998.
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Lecturer: Nir Meirav
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Wave-Indices: Indexing evolving
databases
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N. Shivakumar and H. Garcia-Molina
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Proc. 1997 SIGMOD.
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See also
full version.
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Lecturer: Miri Pardo
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Storage management for evolving databases
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J. Kleinberg, R. Motwani, P. Raghavan, and S. Venkatasubramanian.
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Lecturer: Natalya Segal
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Computing Iceberg Queries
Efficiently
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M. Fang, N. Shivakumar, H. Garcia-Molina, R. Motwani, J.D. Ullman.
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VLDB 1998.
See also Technical Report
-
Lecturer: Alon Schclar
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Video Trails: Representing and
Visualizing Structure in Video Sequences
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Vikrant Kobla, David Doermann, and Christos Faloutsos
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Proc. of ACM Multimedia, pp. 335-346, 1997.
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See also
Video Summarization by Curve
Simplification
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Daniel DeMenthon, Vikrant Kobla and David Doermann,
ACM Multimedia 98.
-
Lecturer: Ronnie Maor
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Scalable Techniques for Mining Causal
Structures
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C. Silberstein, S. Brin, R. Motwani and J. Ullman.
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Proc. VLDB, 1998.
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Lecturer: Sophie Zacharia
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Implementing data cubes efficiently
(see abstract).
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V. Harinarayan, A. Rajaraman, and J.D. Ullman
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Proc. of 1996 SIGMOD;
and
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Index selection for OLAP
(see abstract)
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H. Gupta, V. Harinarayan, A. Rajaraman, and J.D. Ullman
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Proc. Intl. Conf. on Data Engineering, 1997.
See also
-
Efficient Implementation of Data
Cubes via Materialized Views
(see abstract)
-
Jeffrey D. Ullman
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Proc. of 1996 KDD.
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Lecturer: Avi Telyas
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Proximity search in databases
(see abstract)
-
R. Goldman , N. Shivakumar , S. Venkatasubramanian , H. Garcia-Molina.
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Proceedings of International Conference on Very Large Databases (VLDB'98)
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Lecturer: Eyal Mishor
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On the analysis of indexing schemes
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J.M. Hellerstein, E. Koutsoupias, and C.H. Papadimitriou.
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PODS 1997
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The String B-Tree: A New Data
Structure for String Search in External Memory and its Applications
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Paolo Ferragina, Roberto Grossi.
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JACM, 1998.
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Selection of Views to Materialize Under a
Maintenance-Time Constraint
(see abstract).
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H. Gupta, I. Mumick
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Proc. International Conference on Database Theory (ICDT),
Jerusalam, Israel, January 1999.
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Incremental Maintenance for
Materialized Views over Semistructured Data
(see abstract).
-
S. Abiteboul, J. McHugh, M. Rys, V. Vassalos, J. Wiener
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VLDB 98.
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Data Cube Approximation and Histograms
via Wavelets
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Min Wang, J. S. Vitter and B. Iyer
-
Proceedings of Seventh International Conference on Information
and Knowledge Management (CIKM'98),
Washington D.C., November 1998, 96-10
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Discovery-driven Exploration of OLAP
Data Cubes
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Sunita Sarawagi, Rakesh Agrawal and Nimrod Megiddo.
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1998 EDBT
-
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On the Discovery of Interesting Patterns
in Association Rules
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S. Ramaswamy, S. Mahajan and A. Silberschatz.
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Proc. VLDB, 1998.
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Integrating Association Rule Mining
with Relational Database Systems: Alternatives and Implications
-
Sunita Sarawagi, Shiby Thomas, Rakesh Agrawal.
-
Proc. 1998 SIGMOD
See also
IBM REsearch Report
-
Random Sampling for Histogram
Construction: How much is enough?
-
S. Chaudhuri, R. Motwani, and V. Narasayya.
-
Proc. of the 1998 ACM SIGMOD Conference on Management
of Data, 1998.
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Recovering Information from Summary Data
-
C. Faloutsos, H.V. Jagadish, and N.D. Sidiropulos,
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Proc. VLDB, 1997.
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Scalable Mining for Classification Rules
in Relational Databases.
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Min Wang, Bala Iyer, and Jeffrey Scott Vitter.
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Proc. 1998 IDEAS.
-
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PUBLIC: A decision tree classifier that
integrates building and pruning
-
R. Rastogi and K. Shim.
-
Proc. of the Very Large Database Conference (VLDB), New York, 1998
-
STING: A Statistical Information Grid
Approach to Spatial Data Mining
-
Wei Wang, Jiong Yang, and Richard Muntz.
-
1997.
-
Join Algorithms for Online Aggregation.
-
Peter J. Haas, Joseph M. Hellerstein.
-
IBM Technical Report,
June 1998.
Surveys (not for presentations)
-
External Memory Algorithms
-
Jeffrey Scott Vitter
-
1998.
Full Version.
-
Synopsis
data structures for massive data sets
-
P.B. Gibbons and Y. Matias.
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To appear in DIMACS Series in Discrete Mathematics and Theoretical Computer
Science.
-
A two-page summary will also appear in SODA'99.
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Data Warehousing: What is it? &
related Stanford DB research
-
Janet L. Wiener, Stanford Uninversity
-
A Presentation, 1997.
-
Database Research: Achievements and
Opportunities Info the 21st Century
-
Avi Silberschatz, Mike Stonebraker, Jeff Ullman, editors.
-
Report of an NSF Workshop on the Future of Database Systems
Research, May 1995.
-
The Database Approach to Knowledge
Representation
-
Jeffrey D. Ullman
-
AAAI.
-
The Quest Data Mining System
-
Rakesh Agrawal, Manish Mehta, John Safer, Ramakrishnan Srikant,
Andeas Arning, Toni Bollinger.
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KDD 1996.
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The New Jersey Data Reduction Report.
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D. Barbara, W. Dumouchel, C. Faloutsos, P.J. Haas, J.M. Hellerstein,
Y. Ioannidis, H.V. Jagadish, T. Johnson, R. Ng, V. Poosala, K.A.
Ross, and K.S. Sevcik.
-
Bulletin of the Technical Committee on Data Engineering, December
1997.
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Zipf's Law
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Viswanath Poosala.
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1997.
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Fast and Efficient Algorithms for
Video Compression and Rate Control
-
D. T. Hoang and J. S. Vitter
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(A book) 1998.
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Last updated December, 1998