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?

Conference paper

A component by component listening test analysis of the IBM trainable speech synthesis system

Robert E. Donovan

INTERSPEECH - Eurospeech 2001

Paper

The use of AI in construction financing for private customers

Oliver Bodemer

IBM J. Res. Dev

Conference paper

Prior derivation models for formally syntax-based translation using linguistically syntactic parsing and tree kernels

Bowen Zhou, Bing Xiang, et al.

SSST 2008

Paper

Ax-BxP: Approximate Blocked Computation for Precision-reconfigurable Deep Neural Network Acceleration

Reena Elangovan, Shubham Jain, et al.

ACM TODAES

View all publications

Abstract

Related

A component by component listening test analysis of the IBM trainable speech synthesis system

The use of AI in construction financing for private customers

Prior derivation models for formally syntax-based translation using linguistically syntactic parsing and tree kernels

Ax-BxP: Approximate Blocked Computation for Precision-reconfigurable Deep Neural Network Acceleration