Informace o publikaci

Towards Detection of Anomalies in Building Management Data

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POPELÍNSKÝ Lubomír GLOS Petr

Druh Článek ve sborníku
Konference 15th IBIMA conference on Knowledge Management and Innovation: A Business Competitive Edge Perspective
Fakulta / Pracoviště MU

Fakulta informatiky Ústav výpočetní techniky

Citace
WWW http://www.ibima.org/CA2010/index.html
Obor Informatika
Klíčová slova Building management; data mining; exceptions.
Popis This paper aims at finding anomalies in multidimensional spatio-temporal data. We focus on building management data and describe a novel method for mining anomalies in those data. The main idea lies in building a model inductively from data and then in finding examples that are incorrectly classified by this model. Those exceptions are visualized. We describe experiments with three tree learning algorithms for different classification tasks and discuss the results.
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