Information synthesis in statistical databases

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Information synthesis in statistical databases

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Conference on Information and Knowledge Management archive
Proceedings of the fourth international conference on Information and knowledge management table of contents

Baltimore, Maryland, United States

Pages: 355 - 361

Year of Publication: 1995

ISBN:0-89791-812-6

Authors

Wee-Keong Ng	Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI
Chinya V. Ravishankar	Department of Electrical Engineering and Computer Science, The University of Michigan, Ann Arbor, MI

Sponsors

SIGIR: ACM Special Interest Group on Information Retrieval
SIGLINK: Hypertext, Hypermedia, and Web
SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web
NSF : National Science Foundation
UMBC : U of MD Baltimore County
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 6, Downloads (12 Months): 25, Citation Count: 3

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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	4	S P Ghosh, Statistical relational tables for statistical database management, IEEE Transactions on Software Engineering, v.12 n.12, p.1106-1116, Dec.1986
	5	S. P. GHOSH. Statistical Relational Model. Chapter 10 in Statistical and Scientific Databases, Z. Michalewicz (Ed.), Ellis Horwood, New York, 1991.
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	7	F. M. Malvestuto, The derivation problem of summary data, Proceedings of the 1988 ACM SIGMOD international conference on Management of data, p.82-89, June 01-03, 1988, Chicago, Illinois, United States
	8	Francesco M. Malvestuto, A universal-scheme approach to statistical databases containing homogeneous summary tables, ACM Transactions on Database Systems (TODS), v.18 n.4, p.678-708, Dec. 1993 [doi>10.1145/169725.169712]
	9	F. M. Malvestuto , M. Moscarini, Query Evaluability in Statistical Databases, IEEE Transactions on Knowledge and Data Engineering, v.2 n.4, p.425-430, December 1990 [doi>10.1109/69.63254]
	10	Zbigniew Michalewicz, Statistical and scientific databases, Ellis Horwood, Upper Saddle River, NJ, 1991
	11	Wee Keong Ng , Chinya V. Ravishankar, A Physical Storage for Efficient Statistical Query Processing, Proceedings of the Seventh International Working Conference on Scientific and Statistical Database Management, p.97-106, September 28-30, 1994
	12	W. K. NG, C. V. RAVLSHANKAR. fit Tuple Model for Summary Data Management. Proceedings of the 6th International Conference on Management o} Data, Bangalore, India, December 19-21, 1994.
	13	W. K. NG, C. V. RAVlSHANKAR. Evaluation Strategies for Statistical Query Processing. S#bmitted for publication, 1995.
	14	Gultekin Ozsoyoglu , Z. Meral Ozsoyoglu , Francisco Mata, A language and a physical organization technique for summary tables, Proceedings of the 1985 ACM SIGMOD international conference on Management of data, p.3-16, May 1985, Austin, Texas, United States
	15	Hideto Sato, Handling summary information in a database: derivability, Proceedings of the 1981 ACM SIGMOD international conference on Management of data, April 29-May 01, 1981, Ann Arbor, Michigan [doi>10.1145/582318.582334]
	16	H. SATO. Statistical Data Models: From a Statistical Table to a Conceptual Approach. Chapter 7 in Statistical and Scientific Databases, Z. Michalewicz (Ed.), Ellis Horwood, New York, 1991.
	17	Arie Shoshani, Statistical Databases: Characteristics, Problems, and some Solutions, Proceedings of the 8th International Conference on Very Large Data Bases, p.208-222, September 08-10, 1982

CITED BY 3

	Elaheh Pourabbas , Arie Shoshani, Efficient estimation of joint queries from multiple OLAP databases, ACM Transactions on Database Systems (TODS), v.32 n.1, p.2-es, March 2007
	Christos Faloutsos , H. V. Jagadish , Nikolaos Sidiropoulos, Recovering Information from Summary Data, Proceedings of the 23rd International Conference on Very Large Data Bases, p.36-45, August 25-29, 1997
	Francesco M. Malvestuto , Mauro Mezzini , Marina Moscarini, An analytical approach to the inference of summary data of additive type, Theoretical Computer Science, v.385 n.1-3, p.264-285, October, 2007