Studia Informatica Pomerania

Previously: Zeszyty Naukowe Uniwersytetu Szczecińskiego. Studia Informatica

ISSN: 2451-0424     eISSN: 2300-410X    OAI    DOI: 10.18276/si.2016.39-05
CC BY-SA   Open Access 

Issue archive / nr 39
Algorytmy do konstruowania drzew decyzyjnych w przewidywaniu skuteczności kampanii telemarketingowej banku
(Algorithms for constructing decision trees for predicting the effectiveness of the bank’s telemarketing campaign)

Authors: Jan Kozak
Uniwersytet Ekonomiczny w Katowicach, Wydział Informatyki i Komunikacji

Przemysław Juszczuk
Uniwersytet Śląski w Katowicach, Wydział Informatyki i Nauki o Materiałach
Keywords: decision trees data analysis telemarketing campaign
Data publikacji całości:2016
Page range:11 (49-59)
Cited-by (Crossref) ?:

Abstract

In this article we propose a novel approach for the generating transaction systems based on the technical analysis indicator - moving averages. Crossover of the moving average with the price chart is considered as a signal. Mechanism of setting the moving average period will be decreased in case of efficient trading. On the other hand, a couple of loss making trades leads to the increasing the moving average period. This will directly affect of decreasing number of trades. Such approach will be compared with the classical solutions based on crossover of two moving averages. Such mechanism will be presented as a system based on the procedural programming paradigm, in which stand-alone block codes are system functions. This will allow to easily expand some system functionalities without increasing code complexity.
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