@inproceedings{c547d86f87a842e8b97277869230a29b,
title = "Heterogeneous ensemble of specialised models - a case study in stock market recommendations",
abstract = "The paper presents an approach to the task of a data mining competition “Trading Based on Recommendations”. The approach is based on a heterogeneous ensemble of classification models, where each model was created independently by different participant of the competition. Each base-model is presented in the paper and a concept, and results of the overall solution are discussed.",
keywords = "Classification, Ensemble learning, Heterogeneous ensemble",
author = "Micha{\l} Kozielski and Katarzyna Dusza and J{\'o}zef Flakus and Krzysztof Koz{\l}owski and Sebastian Musia{\l} and Bart{\l}omiej Szwej",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 23rd International Symposium on Methodologies for Intelligent Systems, ISMIS 2017 ; Conference date: 26-06-2017 Through 29-06-2017",
year = "2017",
doi = "10.1007/978-3-319-60438-1\_71",
language = "English",
isbn = "9783319604374",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "728--734",
editor = "Marzena Kryszkiewicz and Henryk Rybinski and Ras, \{Zbigniew W.\} and Dominik Slezak and Andrzej Skowron and Annalisa Appice and Andrzej Skowron",
booktitle = "Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017, Proceedings",
address = "Germany",
}