Exploring Sequential Data
Abstract
The tutorial is devoted to categorical sequence data describing for instance the successive buys of customers, working states of devices, visited web pages, or professional careers. Addressed topics include the rendering of state and event sequences, longitudinal characteristics of sequences, measuring pairwise dissimilarities and dissimilarity-based analysis of sequence data such as clustering, representative sequences, and regression trees. The tutorial also provides a short introduction to the practice of sequence analysis with the TraMineR R-package.
Cite
Text
Ritschard. "Exploring Sequential Data." International Conference on Algorithmic Learning Theory, 2012. doi:10.1007/978-3-642-34106-9_6Markdown
[Ritschard. "Exploring Sequential Data." International Conference on Algorithmic Learning Theory, 2012.](https://mlanthology.org/alt/2012/ritschard2012alt-exploring/) doi:10.1007/978-3-642-34106-9_6BibTeX
@inproceedings{ritschard2012alt-exploring,
title = {{Exploring Sequential Data}},
author = {Ritschard, Gilbert},
booktitle = {International Conference on Algorithmic Learning Theory},
year = {2012},
pages = {35},
doi = {10.1007/978-3-642-34106-9_6},
url = {https://mlanthology.org/alt/2012/ritschard2012alt-exploring/}
}