activity
20192025
most citedBig Data Quality: A systematic literature review and future research directions

5 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB2025

Heterogeneity in Entity Matching: A Survey and Experimental Analysis

Mohammad Hossein Moslemi, Amir Mousavi, Behshid Behkamal +1

Entity matching (EM) is a fundamental task in data integration and analytics, essential for identifying records that refer to the same real-world entity across diverse sources. In…

cs.SE2022★ 2 cited

Geo-Enabled Business Process Modeling

Behshid Behkamal, Asef Pourmasoumi, Mehdi Akbarian Rastaghi +4

Recent advancements in location-aware analytics have created novel opportunities in different domains. In the area of process mining, enriching process models with geolocation help…

cs.DB2020★ 2 cited

A metric Suite for Systematic Quality Assessment of Linked Open Data

Behshid Behkamal, Moshen Kahani, Ebrahim Bagheri +1

Abstract- The vision of the Linked Open Data (LOD) initiative is to provide a distributed model for publishing and meaningfully interlinking open data. The realization of this goal…

cs.CY2019

Contextualization of Big Data Quality: A framework for comparison

Mostafa Mirzaie, Behshid Behkamal, Samad Paydar

With the advent of big data applications and the increasing amount of data being produced in these applications, the importance of efficient methods for big data analysis has becom…

cs.DB2019★ 5 cited

Big Data Quality: A systematic literature review and future research directions

Mostafa Mirzaie, Behshid Behkamal, Samad Paydar

One of the most significant problems of Big Data is to extract knowledge through the huge amount of data. The usefulness of the extracted information depends strongly on data quali…