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Using frequent pattern mining algorithms in text analysis

Ożdżyński P., Zakrzewska D.

Information Systems in Management

2017

Vol. 6, No. 3

213--222

In text mining, effectiveness of methods depends on document representations. The ones based on frequent word sequences are used in such tasks as categorization, clustering and topic modelling. In the paper a comparison of different algorithms for finding frequent word sequences is presented. There are considered techniques dedicated for market basket analysis such as GSP and PrefixSpan as well as a method based on a suffix array. The investigated techniques are compared with the new approach of searching maximum frequent word sequences in document sets. Performance of the algorithms is examined taking into account execution times for the considered test collections.

A search of significant phrases for building topic models in text documents

Ożdżyński P., Zakrzewska D.

Information Systems in Management

2016

Vol. 5, No. 2

205--214

A huge amount of documents in the digitalized libraries requires efficient methods for exploring contained there information. ìTopic modelingî is considered as one of the most effective among them. In spite of commonly used approaches for finding occurrences of single words, in the paper building topic models based on phrases is pondered. We propose a methodology, which enables to create a set of significant word sequences and thus limiting the search area to phrases which contain them. The methodology is evaluated on experiments performed on real text datasets. Obtained results are compared with those received by using LDA algorithm.

Identyfikacja wzorców w ruchu drogowym metodą częstych sekwencji

Koźlak J., Zygmunt A.

Automatyka / Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

2011

T. 15, z. 2

263-270

Artykuł dotyczy analizy wzorców danych dotyczących stanu ruchu pojazdów. W szczególności skupiono się na analizie częstych sekwencji. Analizowane dane zostały pozyskane w oparciu o wieloagentowy symulator do modelowania i optymalizacji ruchu drogowego.

The paper concerns the analysis of data about road traffic. We are focusing our analysis on the frequent sequences. The analysed data was obtained using multi-agent simulator for modelling and optimisation of road traffic.