Interactive Event Sequence Prediction for Marketing Analysts | Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (original) (raw)

Published: 25 April 2020 Publication History

Abstract

Timestamped event sequences are analyzed to tackle varied problems but have unique challenges in interpretation and analysis. Especially in event sequence prediction, it is difficult to convey the results due to the added uncertainty and complexity introduced by predictive models. In this work, we design and develop ProFlow, a visual analytics system for supporting analysts' workflow of exploring and predicting event sequences. Through an evaluation conducted with four data analysts in a real-world marketing scenario, we discuss the applicability and usefulness of ProFlow as well as its limitations and future directions.

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CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems

April 2020

4474 pages

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Published: 25 April 2020

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Guo YGuo SJin ZKaul SGotz DCao N(2022)Survey on Visual Analysis of Event Sequence DataIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2021.310041328:12(5091-5112)Online publication date: 1-Dec-2022
Peiris YBarth CHuang EBernard J(2022)A Data-Centric Methodology and Task Typology for Time-Stamped Event Sequences2022 IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV)10.1109/BELIV57783.2022.00012(66-76)Online publication date: Oct-2022
Vo BNguyen HHuynh BLe T(2021)Efficient Methods for Clickstream Pattern Mining on Incremental DatabasesIEEE Access10.1109/ACCESS.2021.31315779(161305-161317)Online publication date: 2021

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