5 papers
A Preference Random Walk Algorithm for Link Prediction through Mutual Influence Nodes in Complex Networks
Kamal Berahmand, Elahe Nasiri, Saman Forouzandeh +1
Predicting links in complex networks has been one of the essential topics within the realm of data mining and science discovery over the past few years. This problem remains an att…
Presentation a Trust Walker for rating prediction in Recommender System with Biased Random Walk: Effects of H-index Centrality, Similarity in Items and Friends
Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand
The use of recommender systems has increased dramatically to assist online social network users in the decision-making process and selecting appropriate items. On the other hand, d…
A Novel Community Detection Based Genetic Algorithm for Feature Selection
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
The selection of features is an essential data preprocessing stage in data mining. The core principle of feature selection seems to be to pick a subset of possible features by excl…
Review of Swarm Intelligence-based Feature Selection Methods
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
In the past decades, the rapid growth of computer and database technologies has led to the rapid growth of large-scale datasets. On the other hand, data mining applications with hi…
Presentation of a Recommender System with Ensemble Learning and Graph Embedding: A Case on MovieLens
Saman Forouzandeh, Mehrdad Rostami, Kamal Berahmand
Information technology has spread widely, and extraordinarily large amounts of data have been made accessible to users, which has made it challenging to select data that are in acc…