PrefixCDD: Effective Online Concept Drift Detection over Event Streams using Prefix Trees

Author:

Huete Jesús1,Qahtan Abdulhakim A.2,Hassani Marwan1

Affiliation:

1. Eindhoven University of Technology,Eindhoven,The Netherlands

2. Utrecht University,Utrecht,The Netherlands

Publisher

IEEE

Reference17 articles.

1. Detecting change in processes using comparative trace clustering;hompes;SIMPDA,2015

2. Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces

3. Object oriented data analysis: Sets of trees

4. A Robust and Accurate Approach to Detect Process Drifts from Event Streams

5. Detecting drift from event streams of unpredictable business processes;o;ER,2016

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2. Online Next Activity Prediction Under Concept Drifts;Lecture Notes in Business Information Processing;2024

3. Using Human Mobility Patterns to Forecast Outliers in Citizen Complaints Data;2023 IEEE International Conference on Big Data (BigData);2023-12-15

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