Mining Very Large Databases with Parallel Processing

@inproceedings{Freitas1998MiningVL,
  title={Mining Very Large Databases with Parallel Processing},
  author={Alex Alves Freitas and Simon H. Lavington},
  booktitle={The Kluwer International Series on Advances in Database Systems},
  year={1998}
}
ion e.g. from "day_oCpurchase" to "month_oCpurchase" is called roll up. The inverse operation is called drill down. The operation of "rotating" the data cube to show a given face (e.g. the face with dimensions customer and product) is called pivoting. The operation of selecting a subset of the values of a dimension (e.g. showing only data referring to the most important customers) is called slicing-dicing. [Gray et al. 96]. [Gray et al. 97) have proposed a data cube operator generalizing the… CONTINUE READING
Highly Cited
This paper has 196 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 110 extracted citations

Optimizing Client-Server Performance When Mining Large Databases

Neil Dewhurst, SIMON LAVINGTON neil
2007
View 4 Excerpts
Highly Influenced

197 Citations

01020'96'01'07'13'19
Citations per Year
Semantic Scholar estimates that this publication has 197 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 159 references

Uk

A. A. Freitas. Generic, Set-Oriented Primitives to Support Data-Parallel Knowledge Disc Essex
July • 1997
View 10 Excerpts
Highly Influenced

Quinlan

J.R
C4.5: Programs for Machine Learning. San Mateo, CA: Morgan Kaufmann, • 1993
View 7 Excerpts
Highly Influenced

Highly parallel computing

Benjamin/Cummings Series in computer science and engineering • 1989
View 5 Excerpts
Highly Influenced

Data mining: the power of integration

S. Pass
Proc. 1st Int. Conf Practical Applications of Knowledge Discovery and Data Mining (PADD'97), 25-39. The Practical Application Company, UK. Apr. • 1997
View 3 Excerpts
Highly Influenced

1st Int

G. Agre. Knowledge-base maintenance as learning two-t Pmc
Con! CBR (ICCBR-95). LNAIIO/O, 109-120. • 1995
View 3 Excerpts
Highly Influenced

Neural Networks in Computer Intelligence

L. Fu
McGraw-Hill. • 1994
View 3 Excerpts
Highly Influenced

A

V. Gottemukkala
Jhingran and S.Padmanabhan. Interfacing parallel applications and parallel databases. Proc. 13th Int. Conf Data Engineenng, 355-364. IEEE Camp. Soc. Press • 1997
View 1 Excerpt

Similar Papers

Loading similar papers…