Mining Business Databases

Ronald J. Brachman; Tom Khabaza; Willi Kloesgen; Gregory Piatetsky-Shapiro; Evangelos Simoudis

doi:10.1145/240455.240468

Communications of the ACM

Paper

01 Jan 1996

Mining Business Databases

Download paper

Abstract

Ad hoc techniques - no longer adequate for sifting through vast collections of data - are giving way to data mining and knowledge discovery for turning corporate data into competitive business advantage.

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

Conference paper

A divide and conquer strategy for scaling weather simulations with multiple regions of interest

Preeti Malakar, Thomas George, et al.

SC 2012

Poster

Triton vs. Halide: Exploring Coupled and Decoupled Machine Learning Kernel Languages

Quinn Pham, Danila Seliayeu, et al.

CASCON 2024

Workshop paper

A framework for extensible collaborative asset-based service engagement

Fan Jing Meng, Ying Huang, et al.

ICEBE 2007

View all publications

Abstract

Related

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

A divide and conquer strategy for scaling weather simulations with multiple regions of interest

Triton vs. Halide: Exploring Coupled and Decoupled Machine Learning Kernel Languages

A framework for extensible collaborative asset-based service engagement