Razieh Malekhosseini

dblp:219/2970 · DBLP profile ↗
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7ranked-venue papers
1as first author
6since 2021 · last 2026
0000-0002-7496-9063ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 4 · 4 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Computer networks · 1 · 1 since 2021Software engineering, systems software and programming languages · 1 · 1 first-author
YearPublicationVenuePosition
2026 Mitigating concept drift in data streams: an incremental decision tree approach
Hadi Tarazodar, Karamollah Bagherifard, Samad Nejatian, Hamid Parvin, Razieh Malekhosseini
Soft Comput.5
2026 Empowering clustering: a synergy of consensus-based genetic and K-means algorithms
Sadegh Rezaei, Razieh Malekhosseini, S. Hadi Yaghoubyan, Karamollah Bagherifard, Samad Nejatian
J. Supercomput.2
2026 A robust clustering approach: integrating spectral graph partitioning and adaptive K-Means
Sadegh Rezaei, Razieh Malekhosseini, S. Hadi Yaghoubyan, Karamollah Bagherifard, Samad Nejatian
J. Supercomput.2
2023 Sequential semi-supervised active learning model in extremely low training set (SSSAL)
Ebrahim Khalili, Razieh Malekhosseini, S. Hadi Yaghoubyan, Karamollah Bagherifard, Hamid Parvin
J. Supercomput.2
2023 Securing communications between things against wormhole attacks using TOPSIS decision-making and hash-based cryptography techniques in the IoT ecosystem
Tayebeh Sahraneshin, Razieh Malekhosseini, Farhad Rad, S. Hadi Yaghoubyan
Wirel. Networks2
2022 A clustering method for locating services based on fog computing for the internet of things
Esmaeil Ghaferi, Razieh Malekhosseini, Farhad Rad, Karamollah Bagherifard
J. Supercomput.2
2018 Evaluation of users' privacy concerns by checking of their WhatsApp status
abstract
Summary WhatsApp Messenger is a popular instant messenger among Iranian users. The WhatsApp status feature provides the possibility of posting desired content without restrictions in terms of type with the capability of being managed by users. Status can be considered as a potential place to express users' feelings, opinions, and thoughts. However, special attention should be paid to the privacy of users and the information published in this manner because access to the content of a user's status by unauthorized friends and interpretations of the user's status content may violate his/her privacy. This study investigates the privacy issues associated with information shared through status. The data of this study were gathered via access to the status content of 4000 Iranian users and via telephone interviews conducted with 350 of them. In this study, a combination of quantitative and qualitative methods has been used to analyze the data. This study focuses on the extraction of patterns in users' status content, determination of their polarity, and examination of the factors affecting users' privacy concerns. During the research, 10 general themes were extracted from users' content. The results showed that user privacy concerns influenced the type of theme selected. In addition, the theme selected under different circumstances may include a type of feeling that, in this study, is called polarity. Polarity is affected by the users' privacy concerns. Moreover, the demographic characteristics of users (age and gender) have a significant relationship with the type of theme used and their privacy concerns.
Razieh Malekhosseini, Mehdi Hosseinzadeh 0001, Keyvan Navi
Softw. Pract. Exp.1