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1

Hybrid C&RT-Logit Models In Churn Analysis

100%
Łapczyński M.
Folia Oeconomica Stetinensia
|
2014
|
vol. 14
|
issue 2
37-52
EN
This article attempts to explain and predict the termination of relationships in telecommunications services by using the hybrid C&RT-logit model. The combination of decision trees (C&RT algorithm) with the logistic model enriches the model interpretation and sometimes improves the accuracy of prediction. Decision trees permit to detect interactions among variables and make the model resistant to outliers and to lack of data. On the other hand, the logistic model can extend the interpretation by using odds ratios. The solution delivered by the hybrid approach was compared with the decision tree model and the logistic model. Due to the difficulty in obtaining the real dataset from the Polish market, it was decided to build a model based on the data obtained from the repository http://www.dataminingconsultant.com/DMMM.htm . The models’ performance was estimated by using popular measures such as accuracy, recall, precision, true negative rate, G-mean, F measure and lift charts.
2

O interdyscyplinarnym charakterze analitycznego CRM

100%
Łapczyński M.
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
|
2013
|
issue 909
59-68
PL
Celem artykułu jest podkreślenie interdyscyplinarnego charakteru analitycznego CRM i jego związków z innymi dziedzinami, podejściami i procedurami badawczymi. Autor próbuje umiejscowić to podejście badawcze na tle innych pokrewnych dyscyplin. Odwołuje się w tym celu do angloamerykańskiej i skandynawskiej szkoły marketingu relacji, marketingu opartego na bazach danych, marketingu wspieranego danymi, analityki biznesowej oraz badań rynkowych i marketingowych. Podsumowaniem pracy jest próba zdefiniowania analitycznego CRM z perspektywy badań marketingowych.
EN
The purpose of this article is to highlight the interdisciplinary nature of analytical CRM and its relationships with other disciplines, research approaches and procedures. The author attempts to locate this research approach relative to other related disciplines. He refers to the Anglo-American and Scandinavian schools of relationship marketing, database marketing, data-driven marketing, business intelligence and market research. The summary of this study is to define analytical CRM from the perspective of marketing research.
3

Charakterystyka wybranych etapów procedury przygotowania danych do budowy modeli data mining

100%
Łapczyński M.
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
|
2012
|
issue 884
129-141
EN
The article examines the data preparation process that serves as the initial step in building data mining models. Following a short introduction to the stages of data pre-processing procedure, the main rules for creating derived variables are presented. The author describes ways of handling time variables and categorical variables and briefly looks at problems generated by the imprecise definition of variables, missing values and outliers.
4

Analiza struktury korzyści w ocenie jakości usług edukacyjnych

100%
Łapczyński M.
Zeszyty Naukowe Uniwersytetu Ekonomicznego w Krakowie
|
2011
|
issue 864
35-51
EN
The aim of the paper is to use an analysis of benefits structure to assess the quality of educational services provided by two universities of economics in Cracow. This tool allows the identification of those features of the service (the product) regarded by respondents as the most important, but to be still in need of improvement. Although this analysis was first done during the course of research on the conception of a new product, its simplicity and universality enable it to be applied more widely. The list of the two institutions’ features considered included a) the library, b) the lecture halls, c) faculty members, d) administrative staff, e) the classes, f) on-campus catering facilities, g) the image of the institution and the expectations of students with respect to how well the institution prepares them for the labour market.
5
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O możliwościach wykorzystania rotacyjnego lasu w badaniach rynkowych i marketingowych

100%
Łapczyński M.
Econometrics. Ekonometria. Advances in Applied Data Analytics
|
2017
|
issue 1 (55)
69-81
PL
Rotacyjny las (rotation forest) jest narzędziem analitycznym służącym do budowy zagregowanych modeli predykcyjnych. Pojedyncze modele drzew klasyfikacyjnych powstają na podstawie podprób bootstrapowych, a do ich budowy używa się innych zbiorów zmiennych niezależnych. Początkowo dzieli się zbiór tych zmiennych na k rozłącznych podzbiorów, a następnie w każdym z nich stosuje się analizę głównych składowych w celu uzyskania liniowej kombinacji zmiennych wejściowych. Celem artykułu jest porównanie skuteczności modeli prognostycznych zbudowanych za pomocą rotacyjnego lasu z innymi modelami zagregowanymi: metodą bagging, drzewami wzmacnianymi AdaBoost i losowym lasem. Do analiz wykorzystano 11 zbiorów obserwacji pobranych z popularnego repozytorium on-line. Obliczenia zostały wykonane w programie WEKA (Waikato Environment for Knowledge Analysis), a ocena modeli została dokonana za pomocą czterech miar: dokładności, czułości, precyzji i miary F. Wyniki wskazują na ograniczone możliwości wykorzystania tego modelu zagregowanego w badaniach rynkowych i marketingowych. Najważniejsze przeszkody dotyczą poziomu pomiaru zmiennych niezależnych i zasobów sprzętowych niezbędnych do analizy dużych zbiorów danych.
6
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Modele hybrydowe C&RT-Logit w analizie migracji klientów

100%
Łapczyński M.
Studia Ekonomiczne
|
2014
|
vol. 195
90-102
EN
The purpose of this article is to use the hybrid C&RT-logit model in churn analysis in Orange telecom company. The combination of decision tree (C&RT algorithm) with logistic model improved the accuracy of prediction and enriched the interpretation of model. The dataset used during the study comes from KKD Cup in 2009.
7

Number of Clusters and the Quality of Hybrid Predictive Models in Analytical CRM

63%
Łapczyński M., Jefmański B.
Studies in Logic, Grammar and Rhetoric
|
2014
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vol. 37
|
issue 1
141-157
EN
Making more accurate marketing decisions by managers requires building effective predictive models. Typically, these models specify the probability of customer belonging to a particular category, group or segment. The analytical CRM categories refer to customers interested in starting cooperation with the company (acquisition models), customers who purchase additional products (cross- and up-sell models) or customers intending to resign from the cooperation (churn models). During building predictive models researchers use analytical tools from various disciplines with an emphasis on their best performance. This article attempts to build a hybrid predictive model combining decision trees (C&RT algorithm) and cluster analysis (k-means). During experiments five different cluster validity indices and eight datasets were used. The performance of models was evaluated by using popular measures such as: accuracy, precision, recall, G-mean, F-measure and lift in the first and in the second decile. The authors tried to find a connection between the number of clusters and models' quality.
8
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Masking problem in identification of service quality determinants with an application of the cart model – an example of the public services quality research in Poland

63%
Jefmański B., Łapczyński M.
Econometrics. Ekonometria. Advances in Applied Data Analytics
|
2013
|
issue 3(41)
24-31
EN
An important part of customer satisfaction surveys of the acquired service is to identify the key factors affecting its quality. Since customer satisfaction is a complex category thus its measurement and analysis require the use of multivariate statistical methods. One of them is the CART method (Classification and Regression Trees). Its use in the identification of the key determinants of the quality of services may, however, be associated with the emergence of the so-called variable masking problem, that was characterized in the article. Possible ways of solving it were exemplified in the customer satisfaction survey results of one of the Polish Municipal Offices.
9
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Discovering Patterns of Users' Behaviour in an E-shop - Comparison of Consumer Buying Behaviours in Poland and Other European Countries

63%
Łapczyński M., Białowąs S.
Studia Ekonomiczne
|
2013
|
vol. 151
144-153
EN
The goal of this article is to analyze behaviour patterns of customers to an e-shop offering clothing for women. The authors discovered the sequences of selected products from the store (web clickstream analysis) and conducted market basket analysis by using popular association rules. IP addresses of visitors that were obtained from web logs enabled identification of the user's country of residence. Geolocation was the basis of comparison of consumer buying behaviours in Poland and other European countries.
10
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Perceived Social Capital and Institutional Environment‘s Impact On the Success of Regional Cluster Policies

51%
Kwiatkowski T., Micek G., Łapczyński M.
Central European Economic Journal
|
2023
|
vol. 10
|
issue 57
198-218
EN
Cluster policies (CPs) are said to be one of the crucial elements supporting the innovativeness of local and regional economies. However, what drives the success of CPs has not been made fully explicit. We tested the impact of perceived quality and strength of social capital (SC) and the formal institutional environment (FIE) upon CPs. We studied this relationship by applying structural equation modelling to data from quantitative CATI research on members of 20cluster initiatives from four Polish administrative regions (NUTS 2), referred to as voivodships. We have revealed that the formal institutional environment has a strong influence on CPs, whereas, surprisingly, SC hardly matters.
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