Seyyed Alireza Hashemi Golpayegani

Orcid: 0000-0002-1107-4713

Affiliations:
  • Amirkabir University of Technology, Tehran, Iran


According to our database1, Seyyed Alireza Hashemi Golpayegani authored at least 27 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
An integer linear programming model to improve the dependency graph discovery step of heuristics miner methods.
Knowl. Inf. Syst., May, 2023

2022
Anomaly detection in business processes logs using social network analysis.
J. Comput. Virol. Hacking Tech., 2022

Improving heuristics miners for healthcare applications by discovering optimal dependency graphs.
J. Supercomput., 2022

Market manipulation detection: A systematic literature review.
Expert Syst. Appl., 2022

Improving Heuristic-based Process Discovery Methods by Detecting Optimal Dependency Graphs.
CoRR, 2022

2021
An effective recommender system based on personality traits, demographics and behavior of customers in time context.
Data Technol. Appl., 2021

SenseTrust: A Sentiment Based Trust Model in Social Network.
J. Theor. Appl. Electron. Commer. Res., 2021

A Financial Incentive Mechanism for Truthful Reporting Assurance in Online Crowdsourcing Platforms.
J. Theor. Appl. Electron. Commer. Res., 2021

A Novel Method for Discovering Process Based on the Network Analysis Approach in the Context of Social Commerce Systems.
J. Theor. Appl. Electron. Commer. Res., 2021

Finding effective nodes to maximize the trusting behavior propagation in social networks.
Computing, 2021

Designing a New Method for Detecting Money Laundering based on Social Network Analysis.
Proceedings of the 26th International Computer Conference, Computer Society of Iran, 2021

2020
A new method for organizational process model discovery through the analysis of workflows and data exchange networks.
Soc. Netw. Anal. Min., 2020

Conformance Checking of the Activity Network with the Social Relationships Structure in the Context of Social Commerce.
J. Theor. Appl. Electron. Commer. Res., 2020

A novel tourism recommender system in the context of social commerce.
Expert Syst. Appl., 2020

A Reinforcement Learning Based Model for Adaptive Service Quality Management in E-Commerce Websites.
Bus. Inf. Syst. Eng., 2020

2019
Website user content navigation behavior modeling using time series neural networks.
Web Intell., 2019

2018
Recruiting the K-most influential prospective workers for crowdsourcing platforms.
Serv. Oriented Comput. Appl., 2018

An Activity-Based User Trusting Behavior Diffusion Model in Social Networks.
Proceedings of the 9th International Symposium on Telecommunications, 2018

2017
Finding K-Most Influential Users in Social Networks for Information Diffusion Based on Network Structure and Different User Behavioral Patterns.
Proceedings of the 14th IEEE International Conference on e-Business Engineering, 2017

2016
Centrality measures analysis in overlapped communities: An empirical study.
Proceedings of the 8th International Symposium on Telecommunications, 2016

2015
Improving Context Aware Recommendation Performance by Using Social Networks.
J. Inf. Technol. Res., 2015

Rural Intelligent Public Transportation System Design: Applying the Design for Re-Engineering of Transportation eCommerce System in Iran.
Int. J. Inf. Technol. Syst. Approach, 2015

Studying the Affecting Factors on Trust in Social Commerce.
CoRR, 2015

2014
Near-Optimal Virtual Machine Packing Based on Resource Requirement of Service Demands Using Pattern Clustering.
CoRR, 2014

A Novel C2C E-Commerce Recommender System Based on Link Prediction: Applying Social Network Analysis.
CoRR, 2014

2011
Who are the most influential users in a recommender system?
Proceedings of the 13th International Conference on Electronic Commerce, 2011

2007
Designing work breakdown structures using modular neural networks.
Decis. Support Syst., 2007


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