Mar 15, 2022 · A hybrid algorithm is proposed based on k-NN, decision trees, and nearest neighbor. •. A way of representing chronological shipment location is ...

To overcome these limitations, we propose a hybrid k-NN (Hk-NN) algorithm based on the principles of local similarity and neighborhood homogeneity. It ...

To overcome these limitations, we propose a hybrid k-NN (Hk-NN) algorithm based on the principles of local similarity and neighborhood homogeneity. It ...

Generating decision support for alarm processing in cold supply chains using a hybrid k-NN algorithm. https://doi.org/10.1016/j.eswa.2021.116208 ·. Journal ...

A hybrid algorithm is proposed based on k-NN, decision trees, and nearest neighbor. • A way of representing chronological shipment location is proposed in a ...

To overcome these limitations, we propose a hybrid k-NN (Hk-NN) algorithm based on the principles of local similarity and neighborhood homogeneity. It ...

Iurii Konovalenko, André Ludwig: Generating decision support for alarm processing in cold supply chains using a hybrid k-NN algorithm. Expert Syst.

The research work in [20] proposes a hybrid ML model that incorporates the k-Means clustering method and two other classification techniques (i.e., NB and KNN) ...

Konovalenko, Generating decision support for alarm processing in cold supply chains using a hybrid k-NN algorithm, Expert Syst. ... supply chain using ...

May 14, 2024 · Generating decision support for alarm processing in cold supply chains using a hybrid k-nn algorithm . Expert Systems With Applications.