Autor: Orłowski, K. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Entropy Based Trees to Support Decision Making for Customer Churn Management
Autorzy:: Gajowniczek, K.
Orłowski, A.
Ząbkowski, T.
Powiązania:: https://bibliotekanauki.pl/articles/1398869.pdf
Data publikacji:: 2016-05
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 05.45.Tp
05.40.Ca
07.05.Kf
07.05.Mh
Opis:: In this work we analyze empirically customer churn problem from a physical point of view to provide objective, data driven and significant answers to support decision making process in business application. In particular, we explore different entropy measures applied to decision trees and assess their performance from the business perspective using set of model quality measures often used in business practice. Additionally, the decision trees are compared with logistic regression and two machine learning methods - neural networks and support vector machines.
Źródło:: Acta Physica Polonica A; 2016, 129, 5; 971-979
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Q-Entropy Approach to Selecting High Income Households
Autorzy:: Gajowniczek, K.
Karpio, K.
Łukasiewicz, P.
Orłowski, A.
Ząbkowski, T.
Powiązania:: https://bibliotekanauki.pl/articles/1388367.pdf
Data publikacji:: 2015-03
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 05.45.Tp
05.40.Ca
07.05.Kf
07.05.Mh
Opis:: A generalized algorithm for building classification trees, based on Tsallis q-entropy, is proposed and applied to classification of Polish households with respect to their incomes. Data for 2008 are used. Quality measures for obtained trees are compared for different values of q parameter. A method of choosing the optimum tree is elaborated.
Źródło:: Acta Physica Polonica A; 2015, 127, 3A; A-38-A-44
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 3.

Tytuł:: Mining Associations on the Warsaw Stock Exchange
Autorzy:: Karpio, K.
Łukasiewicz, P.
Orłowski, A.
Ząbkowski, T.
Powiązania:: https://bibliotekanauki.pl/articles/1400174.pdf
Data publikacji:: 2013-03
Wydawca:: Polska Akademia Nauk. Instytut Fizyki PAN
Tematy:: 89.65.Gh
07.05.Kf
07.05.Rm
Opis:: Identification of patterns in stock markets has been an important subject for many years. In the past, numerous techniques, both technical and econometric, were used to predict changes in stock markets, but dependences among all the companies listed on a stock market were considered in a limited extent. Numerous studies confirm that larger stocks items appear to influence smaller ones and that, on a global level, most of the world's stock markets are integrated. Therefore, this study implements the association rules using a data mining approach to explore the co-movement between stock items listed on the Warsaw Stock Exchange. We believe that in order to describe and to understand market's behavior, data mining techniques are more flexible in use than for instance pricing models based on a finance theory. The former seems to be more effective for explaining market behavior without making particular assumptions.
Źródło:: Acta Physica Polonica A; 2013, 123, 3; 553-559
0587-4246
1898-794X
Pojawia się w:: Acta Physica Polonica A
Dostawca treści:: Biblioteka Nauki

Artykuł

Informacja