Carnegie Mellon University
Browse
file.pdf (81.61 kB)

Statistical Themes and Lessons for Data Mining

Download (81.61 kB)
journal contribution
posted on 1997-01-01, 00:00 authored by Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth
Data mining is on the interface of Computer Science and Statistics, utilizing advances in both disciplines to make progress in extracting information from large databases. It is an emerging field that has attracted much attention in a very short period of time. This article highlights some statistical themes and lessons that are directly relevant to data mining and attempts to identify opportunities where close cooperation between the statistical and computational communities might reasonably provide synergy for further progress in data analysis.

History

Publisher Statement

All Rights Reserved

Date

1997-01-01

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC