Classification of Clients on the basis of Modifying Case-based Reasoning Algorithms

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39911903" target="_blank" >RIV/00216275:25410/18:39911903 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1007/978-3-319-67792-7_31" target="_blank" >http://dx.doi.org/10.1007/978-3-319-67792-7_31</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-67792-7_31" target="_blank" >10.1007/978-3-319-67792-7_31</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Classification of Clients on the basis of Modifying Case-based Reasoning Algorithms
Popis výsledku v původním jazyce
This article deals with client’s classification possibilities for trade companies. One of the options for dealing with classification is to use Case-based Reasoning method. The proposed modified algorithm clears cases base, it eliminates invalid data and out-dated data from the time point of view. Hill-climbing algorithm is used for this. Classification results achieved by means of modified algorithm are compared with other classification methods such as Neuron Networks, Top Down Induction Decision Trees and Logistic Regression.
Název v anglickém jazyce
Classification of Clients on the basis of Modifying Case-based Reasoning Algorithms
Popis výsledku anglicky
This article deals with client’s classification possibilities for trade companies. One of the options for dealing with classification is to use Case-based Reasoning method. The proposed modified algorithm clears cases base, it eliminates invalid data and out-dated data from the time point of view. Hill-climbing algorithm is used for this. Classification results achieved by means of modified algorithm are compared with other classification methods such as Neuron Networks, Top Down Induction Decision Trees and Logistic Regression.

Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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