most citedA Machine Learning Model for Stock Market Prediction

119 citations · 144 across the 5 of their papers we have counts for

collaborators

5 papers

cs.NE2014★ 6 cited

A Network Intrusions Detection System based on a Quantum Bio Inspired Algorithm

Omar S. Soliman, Aliaa Rassem

Network intrusion detection systems (NIDSs) have a role of identifying malicious activities by monitoring the behavior of networks. Due to the currently high volume of networks tra…

cs.CE2014★ 5 cited

Classification of Diabetes Mellitus using Modified Particle Swarm Optimization and Least Squares Support Vector Machine

Omar S. Soliman, Eman AboElhamd

Diabetes Mellitus is a major health problem all over the world. Many classification algorithms have been applied for its diagnoses and treatment. In this paper, a hybrid algorithm…

cs.CE2014★ 119 cited

A Machine Learning Model for Stock Market Prediction

Osman Hegazy, Omar S. Soliman, Mustafa Abdul Salam

Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange.

cs.CE2014

LSSVM-ABC Algorithm for Stock Price prediction

Osman Hegazy, Omar S. Soliman, Mustafa Abdul Salam

In this paper, Artificial Bee Colony (ABC) algorithm which inspired from the behavior of honey bees swarm is presented. ABC is a stochastic population-based evolutionary algorithm…

cs.OH2014★ 14 cited

A Hybrid Estimation of Distribution Algorithm with Random Walk local Search for Multi-mode Resource-Constrained Project Scheduling problems

Omar S. Soliman, Elshimaa A. R. Elgendi

Multi-mode resource-constrained project scheduling problems (MRCPSPs) are classified as NP-hard problems, in which a task has different execution modes characterized by different r…