Purpose – The purpose of the present paper is to investigate how methods from statistics, natural language processing, information theory, and other scientific fields can be brought to bear on account reconciliation. Practically, the goal is to reduce the number of labor hours it takes to...

The aim of artificial intelligence is to discover mechanisms of adaptation in a changing environment with utilisation of intelligence, for instance in the ability to exclude unlikely solutions. Artificial intelligence methods have extensive application in different fields such as medicine,...

A tanulmányban a Weka adatbányászati szoftver használata és a szövegosztályozás alapelvei kerülnek bemutatásra. Egy gyakorlati példán keresztül, amiben Internetről letöltött 4000 db ingatlanhirdetési szöveget dolgoztam fel, több szövegosztályozási módszert megvizsgáltam....

Methods underlying cluster analysis are very useful in data analysis, especially when the processed volume of data is very large, so that it becomes impossible to extract essential information, unless specific instruments are used to summarize and structure the gross information. In this...

Machine learning methods are powerful tools for data mining with large noisy databases and give researchers the opportunity to gain new insights into consumer behavior and to improve the performance of marketing operations. To model consumer responses to direct marketing, this study proposes...

Most induction algorithms for building predictive models take as input training data in the form of feature vectors. Acquiring the values of features may be costly, and simply acquiring all values may be wasteful or prohibitively expensive. Active feature-value acquisition (AFA) selects features...

In the context of millennium development business, speed and adaptability to change are the key words. So to meet increasingly strong competition, information, transmitted in real time, enable companies to anticipate their customers needs and developments in the global market. Organizations now...

The goals of this paper are twofold: we describe common features in data sets from motor vehicle insurance companies and we investigate a general strategy which exploits the knowledge of such features. The results of the strategy are a basis to develop insurance tariffs. The strategy is applied...

Logistic regression (LR) continues to be one of the most widely used methods in data mining in general and binary data classification in particular. This paper is focused on providing an overview of the most important aspects of LR when used in data analysis, specifically from an algorithmic and...

In this paper a machine learning approach for classifying Arabic text documents is presented. To handle the high dimensionality of text documents, embeddings are used to map each document (instance) into R (the set of real numbers) representing the tri-gram frequency statistics profiles for a...