Scaling mining algorithms to large databases

Paul Bradley; Johannes Gehrke; Raghu Ramakrishnan; Ramakrishnan Srikant

doi:10.1145/545151.545176

Communications of the ACM

Paper

01 Jan 2002

Scaling mining algorithms to large databases

View publication

Abstract

Which insights about data structure make it possible to analyze the very large databases collected by Internet, business, scientific, and government applications?

Paper

The use of AI in construction financing for private customers

Oliver Bodemer

IBM J. Res. Dev

Conference paper

Compression for data archiving and backup revisited

Corneliu Constantinescu

SPIE Optical Engineering + Applications 2009

Paper

An integrated approach to federated identity and privilege management in open systems

Rafae Bhatti, Elisa Bertino, et al.

Communications of the ACM

Conference paper

A fast fanout optimization algorithm for near-continuous buffer libraries

David S. Kung

DAC 1998

View all publications

Abstract

Related

The use of AI in construction financing for private customers

Compression for data archiving and backup revisited

An integrated approach to federated identity and privilege management in open systems

A fast fanout optimization algorithm for near-continuous buffer libraries