This paper extends the proposed problem to handle the questionable mining results. According to the learning patterns discovered by using learning histories, it ...

This paper extends the proposed problem to handle the questionable mining results. According to the learning patterns are discovered by using learning histories ...

A candidate sequence set generation process is proposed to take care the stumble learning behavior and is extended to handle the questionable mining results ...

This paper extends the proposed problem to handle the questionable mining results. According to the learning patterns discovered by using learning histories, it ...

This paper proposes a sequential mining algorithm to analyze learning behaviors for discovering frequent sequential patterns. By these patterns, we can provide.

We propose a two-stage learning model for traffic and sales prediction based on behavior mining, which combines marketing models and deep learning methods.

(2005) Extended real-time learning behavior mining [C]. Fifth IEEE Inter- national Conference on Advanced Learning Technologies,. Kaohsiung, Taiwan. [9] Li ...

This paper focuses on the study of automated process discovery using the Inductive visual Miner (IvM) and Directly Follows visual Miner (DFvM) algorithms.

Via passing real-time container metrics through the encoding and the clustering, the phases can be discovered at each time step. Given the metrics from a full ...

Mar 24, 2023 · This paper presents a methodology to help managers of project-based organizations analyze procurement processes to determine the optimal framework.