Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Marcin Owczarczuk"'
Autor:
Marcin Owczarczuk, Damian Przekop
Publikováno v:
Applied Econometrics Papers. 1(1):39-63
In this article we deal with insurance claims on company cars. Company cars are granted to employees as working tools or as perks. Usually end car users are not directly involved in insurance payment so they may be not interested in reducing number o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::c394282f285100f98d7764dd11a62a18
http://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/struktura/ZES/Documents/Working_Papers/aep14-03.pdf
http://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/struktura/ZES/Documents/Working_Papers/aep14-03.pdf
Autor:
Marcin Owczarczuk
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 391:1428-1433
In this article we show that usage of a mobile phone, i.e. daily series of number of calls made by a customer, exhibits long memory. We use a sample of 4502 postpaid users from a Polish mobile operator and study their two-year billing history. We est
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fcb6412b4967a939b1947306d44ca7c
https://doi.org/10.1016/j.physa.2011.10.005
https://doi.org/10.1016/j.physa.2011.10.005
Autor:
Marcin Owczarczuk
Publikováno v:
Pattern Recognition Letters. 32:540-545
In this article we present a new class of separating hyperplane methods for the binary classification task. Our hyperplanes have a very low Vapnik-Chervonenkis dimension, so they generalise well. Geometrically, our approach is based on searching of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a04ba807d2bd295f587c956b1e405bc2
https://doi.org/10.1016/j.patrec.2010.11.007
https://doi.org/10.1016/j.patrec.2010.11.007
Churn models for prepaid customers in the cellular telecommunication industry using large data marts
Autor:
Marcin Owczarczuk
Publikováno v:
Expert Systems with Applications. 37:4710-4712
In this article, we test the usefulness of the popular data mining models to predict churn of the clients of the Polish cellular telecommunication company. When comparing to previous studies on this topic, our research is novel in the following areas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd56d5b6b6bafc1a84866fb384993308
https://doi.org/10.1016/j.eswa.2009.11.083
https://doi.org/10.1016/j.eswa.2009.11.083
Autor:
Marcin Owczarczuk
In this article we present a new class of support vector machines for binary classification task. Our support vector machines are constructed using only two support vectors and have very low Vapnik-Chervonenkis dimension, so they generalize well. Geo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______645::ecc0bb41c1a982bc35e87a96cf798de3
http://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/struktura/ZES/Documents/Working_Papers/aewp02-09.pdf
http://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/struktura/ZES/Documents/Working_Papers/aewp02-09.pdf
Autor:
Marcin Owczarczuk
This paper presents maximum score type estimators for linear, binomial, tobit and truncated regression models. These estimators estimate the normalized vector of slopes and do not provide the estimator of intercept, although it may appear in the mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6c75e9a598d4159455d0f9a5aca17977
http://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/struktura/ZES/Documents/Working_Papers/aewp07-08.pdf
http://kolegia.sgh.waw.pl/pl/KAE/struktura/IE/struktura/ZES/Documents/Working_Papers/aewp07-08.pdf
Autor:
Marcin Owczarczuk
Publikováno v:
SSRN Electronic Journal.
Discriminant analysis is mostly used to predict the value of a discrete dependent variable of an observation on the basis of a set of predictors. The commonly used criterion of the predictive power is the fraction of incorrectly predicted cases in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b374a1e01b72afc0b0b32af9f4639f8
https://doi.org/10.2139/ssrn.1015527
https://doi.org/10.2139/ssrn.1015527
Autor:
Marcin Owczarczuk
Publikováno v:
SSRN Electronic Journal.
The aim of the paper is to formulate and solve the following segmentation problem. Given is a population described by independent variables: X1, ... , Xn, (both continuous and categorical), the continuous dependent variable Y and the two-level catego
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::38a2e056e1446ba4356783ab2e8d595e
https://doi.org/10.2139/ssrn.955989
https://doi.org/10.2139/ssrn.955989