Foundations of Intelligent Systems

Варшава : Springer, 2017.

Kryszkiewicz M., Slezak D., Skowron A., Rybinski H., Appice A., Raś Z.

his book constitutes the proceedings of the 23rd International Symposium on Foundations of Intelligent Systems, ISMIS 2017, held in Warsaw, Poland, in June 2017. The 56 regular and 15 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers include both theoretical and practical aspects of machine learning, data mining methods, deep learning, bioinformatics and health informatics, intelligent information systems, knowledge-based systems, mining temporal, spatial and spatio-temporal data, text and Web mining. In addition, four special sessions were organized; namely, Special Session on Big Data Analytics and Stream Data Mining, Special Session on Granular and Soft Clustering for Data Science, Special Session on Knowledge Discovery with Formal Concept Analysis and Related Formalisms, and Special Session devoted to ISMIS 2017 Data Mining Competition on Trading Based on Recommendations, which was launched as a part of the conference.

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Query-Based Versus Tree-Based Classification: Application to Banking Data

Масютин А. А., Кашницкий Ю. С., , in: Foundations of Intelligent Systems.: Warsz.: Springer, 2017. P. 664–673.

The cornerstone of retail banking risk management is the estimation of the expected losses when granting a loan to the borrower. The key driver for loss estimation is probability of default (PD) of the borrower. Assessing PD lies in the area of classification problem. In this paper we apply FCA query-based classification techniques to Kaggle ...

Добавлено: 6 июля 2017 г.

Ключевые слова: intelligent systems, data mining, machine learning