The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Discovery-driven exploration of OLAP data cubes
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Citations
Cites
Discrete Multivariate Analysis: Theory and Practice.
Beniger, J. R., Bishop, Y. M. M., Feinberg, S. E., Holland, P. W., Light, R. J., & Mosteller, F. (1975) · Contemporary Sociology · doi:10.2307/2063625 · Cited by 5,108
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Gray, J., Chaudhuri, S., Bosworth, A., Layman, A., Reichart, D., Venkatrao, M., Pellow, F., & Pirahesh, H. (1997) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009726021843 · Cited by 2,134
(2008) · Encyclopedia of Public Health · doi:10.1007/978-1-4020-5614-7_2260 · Cited by 1,923
Understanding robust and exploratory data analysis
Hoaglin, D. C., Mosteller, F. C., & Tukey, J. W. (1983) · Wiley eBooks · Cited by 1,906
Implementing data cubes efficiently
Harinarayan, V., Rajaraman, A., & Ullman, J. D. (1996) · Proceedings - ACM-SIGMOD International Conference on Management of Data · doi:10.1145/233269.233333 · Cited by 1,158
Discrete Multivariate Analysis Theory and Practice
(2007) · Springer eBooks · doi:10.1007/978-0-387-72806-3 · Cited by 675
Data cube: a relational aggregation operator generalizing GROUP-BY, CROSS-TAB, and SUB-TOTALS
Gray, J., Bosworth, A., Lyaman, A., & Pirahesh, H. (2002) · Proceedings - International Conference on Data Engineering · doi:10.1109/icde.1996.492099 · Cited by 600
On the Computation of Multidimensional Aggregates
Agarwal, S., Agarwal, R., Deshpande, P. M., Gupta, A., Naughton, J. F., Ramakrishnan, R., & Sarawagi, S. (1999) · Materialized Views · doi:10.7551/mitpress/4472.003.0030 · Cited by 479
Self-citationModeling multidimensional databases
Agrawal, R., Gupta, A., & Sarawagi, S. (2002) · Proceedings 13th International Conference on Data Engineering · doi:10.1109/icde.1997.581777 · Cited by 456
Self-citationUnderstanding Robust and Exploratory Data Analysis.
Stuart, M., Hoaglin, D. C., Mosteller, F., & Tukey, J. W. (1984) · The Statistician · doi:10.2307/2988240 · Cited by 382
Cited by
Data mining: concepts and techniques
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,531
Chandola, V., Banerjee, A., & Kumar, V. (2009) · ACM Computing Surveys · doi:10.1145/1541880.1541882 · Cited by 11,687
Distance-based outliers: algorithms and applications
Knorr, E. M., Ng, R. T., & Tucakov, V. (2000) · The VLDB Journal The International Journal on Very Large Data Bases · doi:10.1007/s007780050006 · Cited by 1,195
Fast Outlier Detection in High Dimensional Spaces
Angiulli, F., & Pizzuti, C. (2002) · Lecture Notes in Computer Science · doi:10.1007/3-540-45681-3_2 · Cited by 836
Outlier mining in large high-dimensional data sets
Angiulli, F., & Pizzuti, C. (2005) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2005.31 · Cited by 365
Detecting outlying properties of exceptional objects
Angiulli, F., Fassetti, F., & Palopoli, L. (2009) · ACM Transactions on Database Systems · doi:10.1145/1508857.1508864 · Cited by 88
Metadata
- Authors
- Sarawagi, S., Agrawal, R., & Megiddo, N.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 1998
- Pages
- 168-182
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1565838812
- Cited by
- 332
- References
- 12
- FWCI
- 7.76
- Type
- conference paper
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
