Interpretability and Effectiveness of Machine Learning Methods for Sequence Mining in Various Domains

P. 1113–1114.

Muratova A.

There is a diverse variety of demographic data that can be analyzed with modern methods of data mining to achieve better results. On the one hand, the main chosen task is to compare different methods for the next event prediction and gender prediction, on the other hand, we pay special attention to interpretable patterns describing demographic behavior in the studied problems. There were considered interpretable methods as decision trees and their ensembles and semi- or non-interpretable methods, such as the SVM method with different customized kernels tailored for demographers' needs and neural networks, respectively. The best accuracy results were obtained with two-channel Convolutional Neural Networks.

Keywords: машинное обучение, нейронные сети, анализ данных, data mining, machine learning, Neural Network

Publication based on the results of: Development of Mathematical Models and Methods for Recommender Systems and Natural Language Processing (2021)

In book

WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining

Association for Computing Machinery (ACM), 2021.