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2014 | 3(37) | 43-50

Article title

Numerical Data Clustering Algorithms in Mining Real Estate Listings

Title variants

PL
Algorytmy klasteryzacji danych numerycznych w eksploracji serwisów ogłoszeń nieruchomości

Languages of publication

EN

Abstracts

EN
In the paper, we propose a method for mining real-estate listings using clustering algorithms intended for numerical data. The presented approach is based on information systems over ontological graphs. Such information systems have been proposed to deal with data in the form of concepts linked by different semantic relations. A special attention is focused on preprocessing steps transforming advertisements in the textual form into information systems defined over ontological graphs, as well as on encoding attribute values for clustering algorithms.
PL
W artykule zaproponowano metodę eksploracji serwisów ogłoszeń nieruchomości przy użyciu algorytmów klasteryzacji przeznaczonych dla danych numerycznych. Przedstawione podejście bazuje na systemach informacyjnych nad grafami ontologicznymi. Systemy informacyjne tego typu zaproponowane zostały w celu poradzenia sobie z danymi w postaci pojęć powiązanych ze sobą za pomocą różnych relacji semantycznych. Specjalna uwaga została zwrócona na etap wstępnego przetwarzania danych z ogłoszeń w postaci tekstowej do postaci systemów informacyjnych zdefiniowanych nad grafami ontologicznymi jak również na kodowanie wartości atrybutów dla algorytmów klasteryzacji.

Contributors

  • University of Management and Administration in Zamość, Poland
  • University of Information Technology and Management in Rzeszów, Poland
author
  • University of Management and Administration in Zamość, Poland

References

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  • Pancerz, K., and O. Mich. 2014. Mining Real-Estate Listings Based on Decision Systems over Ontological Graphs: Extended Abstract. Paper read at Proceedings of the Workshop on Concurrency, Specification and Programming (CS&P’2014), 2014.09.29–10.01, at Chemnitz, Germany.
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Document Type

Publication order reference

Identifiers

YADDA identifier

bwmeta1.element.desklight-5c6c6a7d-55b9-43b0-b74a-bf883ef68607
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