Discovering Sentinel Rules for Business Intelligence

Morten Middelfart, Torben Bach Pedersen

Publikation: Bidrag til tidsskriftKonferenceartikel i tidsskrift

5 Citationer (Scopus)

Abstrakt

This paper proposes the concept of sentinel rules for multi-dimensional data that warns users when measure data concerning the external environment changes. For instance, a surge in negative blogging about a company could trigger a sentinel rule warning that revenue will decrease within two months, so a new course of action can be taken. Hereby, we expand the window of opportunity for organizations and facilitate successful navigation even though the world behaves chaotically. Since sentinel rules are at the schema level as opposed to the data level, and operate on data changes as opposed to absolute data values, we are able to discover strong and useful sentinel rules that would otherwise be hidden when using sequential pattern mining or correlation techniques. We present a method for sentinel rule discovery and an implementation of this method that scales linearly on large data volumes.
OriginalsprogEngelsk
BogserieLecture Notes in Computer Science
Vol/bind5690
Sider (fra-til)592-602
Antal sider10
ISSN0302-9743
DOI
StatusUdgivet - 2009
Begivenhed20th International Conference on Database and Expert Systems Applications (DEXA'09) - Linz, Østrig
Varighed: 31 aug. 20094 sep. 2009
Konferencens nummer: 20

Konference

Konference20th International Conference on Database and Expert Systems Applications (DEXA'09)
Nummer20
LandØstrig
ByLinz
Periode31/08/200904/09/2009

    Fingerprint

Bibliografisk note

Titel:
Database and Expert Systems Applications

Undertitel:
Proceedings of the 20th International Conference on Database and Expert Systems Applications (DEXA'09)

Oversat titel:


Oversat undertitel:


Forlag:
Springer

ISBN (Trykt):
978-3-642-03572-2

ISBN (Elektronisk):


Publikationsserier:
Lecture Notes in Computer Science, Springer Verlag, 0302-9743, 1611-3349, 5690

Redaktører:
Sourav Bhowmick
Josef Küng
Roland Wagner

Citationsformater