Experimental Analyses of Temporal Activity-Sequencing Anomalies in Process Mining
KP Kim - Applied Sciences, 2023 - mdpi.com
In the research field of the automated process discovery and analysis, the purity of event log
datasets ought to be a matter of vital importance to the success of discovering sound and …
datasets ought to be a matter of vital importance to the success of discovering sound and …
A Structural Anomaly-Trace Detection Approach and its Implications in Process Mining and Reengieering
KP Kim - IEEE Access, 2024 - ieeexplore.ieee.org
In order to effectively do the reengineering of process models within managing their
lifecycles, it is important to maintain the qualitative levels of control-flow gateway-activity …
lifecycles, it is important to maintain the qualitative levels of control-flow gateway-activity …
Cost Forecasting for Building Rebar under Uncertainty Conditions: Methodology and Practice
X Dai, P Gao, S Ma - Buildings, 2024 - mdpi.com
As large-scale infrastructure construction projects conclude, the overall civil construction
market shrinks, leading to increased competition among construction companies …
market shrinks, leading to increased competition among construction companies …
[PDF][PDF] Advanced Predictive Modeling for Peanut Production Estimation in Mozambique: Addressing Food Security Challenges through ARIMA and LSTM Approaches …
F Mahaluca, F Carsane, A Vilanculos - J Bus Econo Stud, 2024 - oaskpublishers.com
This study investigates the application of advanced predictive modeling techniques,
specifically ARIMA models and LSTM neural networks, to estimate peanut production in …
specifically ARIMA models and LSTM neural networks, to estimate peanut production in …