Data Mining
1. A Novel Hybrid Genetic Algorithm to Predict Students' Academic Performance

Y. Rohani; Z. Torabi; S. Kianian

Volume 8, Issue 2 , Summer and Autumn 2020, , Pages 219-232

http://dx.doi.org/10.22061/jecei.2020.7230.373

Abstract
  Background: Prediction of students' academic performance is essential for systems emphasizing students' greater success. The results can largely lead to increase in the quality of the educating and learning. Through the application of data mining, useful and innovative patterns can be extracted from ...  Read More

Artificial Intelligence
2. A New Clustering Algorithm for Attributive Graphs through Information Diffusion Approaches

S. Kianian; S. Farzi; H. Samak

Volume 8, Issue 2 , Summer and Autumn 2020, , Pages 273-284

http://dx.doi.org/10.22061/jecei.2020.7190.366

Abstract
  Background and Objectives: Simplicity and flexibility constitute the two basic features for graph models which has made them functional models for real life problems. The attributive graphs are too popular among researchers because of their efficiency and functionality. An attributive graph is a graph ...  Read More

Artificial Intelligence
3. Link Prediction using Network Embedding based on Global Similarity

S. F. Mirmousavi; S. Kianian

Volume 8, Issue 1 , Winter and Spring 2020, , Pages 97-108

http://dx.doi.org/10.22061/jecei.2020.7135.359

Abstract
  Background: The link prediction issue is one of the most widely used problems in complex network analysis. Link prediction requires knowing the background of previous link connections and combining them with available information. The link prediction local approaches with node structure objectives are ...  Read More