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  • This paper presents the concept of temporal association rules in order to solve the problem of handling time series by including time expressions into association rules. Actually, temporal databases are continually appended or updated so that the discovered rules need to be updated. Re-running the temporal mining algorithm every time is ineffective since it neglects the previously discovered rules, and repeats the work done previously. Furthermore, existing incremental mining techniques cannot deal with temporal association rules. In this paper, an incremental algorithm to maintain the temporal association rules in a transaction database is proposed. The algorithm benefits from the results of earlier mining to derive the final mining output. The experimental results on both the synthetic and the real dataset illustrate a significant improvement over the conventional approach of mining the entire updated database. (C) 2010 Elsevier B.V. All rights reserved.
  • This paper presents the concept of temporal association rules in order to solve the problem of handling time series by including time expressions into association rules. Actually, temporal databases are continually appended or updated so that the discovered rules need to be updated. Re-running the temporal mining algorithm every time is ineffective since it neglects the previously discovered rules, and repeats the work done previously. Furthermore, existing incremental mining techniques cannot deal with temporal association rules. In this paper, an incremental algorithm to maintain the temporal association rules in a transaction database is proposed. The algorithm benefits from the results of earlier mining to derive the final mining output. The experimental results on both the synthetic and the real dataset illustrate a significant improvement over the conventional approach of mining the entire updated database. (C) 2010 Elsevier B.V. All rights reserved. (en)
Title
  • An efficient algorithm for incremental mining of temporal association rules
  • An efficient algorithm for incremental mining of temporal association rules (en)
skos:prefLabel
  • An efficient algorithm for incremental mining of temporal association rules
  • An efficient algorithm for incremental mining of temporal association rules (en)
skos:notation
  • RIV/61989100:27240/10:86075424!RIV11-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
http://linked.open...iv/cisloPeriodika
  • 8
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
  • Abraham Padath, Ajith
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 246188
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/10:86075424
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • rules; association; temporal; mining; incremental; for; algorithm; efficient (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • NL - Nizozemsko
http://linked.open...ontrolniKodProRIV
  • [31017B7083F8]
http://linked.open...i/riv/nazevZdroje
  • DATA & KNOWLEDGE ENGINEERING
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 69
http://linked.open...iv/tvurceVysledku
  • Abraham Padath, Ajith
  • Gharib, Tarek F.
  • Nassar, Hamed
  • Taha, Mohamed
http://linked.open...ain/vavai/riv/wos
  • 000279596000004
issn
  • 0169-023X
number of pages
http://localhost/t...ganizacniJednotka
  • 27240
is http://linked.open...avai/riv/vysledek of
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