Martin Repka, Ján Paralič Katedra kybernetiky a umelej inteligencie Fakulta elektrotechniky a informatiky Technická univerzita v Košiciach {Martin.Repka,

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Presentation transcript:

Martin Repka, Ján Paralič Katedra kybernetiky a umelej inteligencie Fakulta elektrotechniky a informatiky Technická univerzita v Košiciach {Martin.Repka,

Company Network publicly accessed sources as Business Register of Slovak Republic (ORSR) aggregated, analyzed and integrated within project ITLIS 1 featuring complete data model, which integrates structural, compositional and temporal (historical) data aim correlation between compositional data and online catalogue categories 1

Data Amadeus - compositional data about companies Azet - online catalogue entries in cases Itlis - companies in 10 largest online cat. categories, 2040 companies (ranging from 105 to 389 companies in category)

Company categorization classification of documents into categories Text-mining technique List of company activities as unstructured document

Results average accuracy 10-fold cross-validation average performance using mode values = 19.07% RapidMiner

Conclusions data integration from several sources experimentally verified correlation of compositional data (company activities) and online categorization several model learners time complexity and model accuracy very efficient model learners seems to be SVM, Neural Network and Naive Bayes (Kernel) model information could be useful as support to other analyses of company network.