Mining Maximal Empty Rectangles

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

Authors

Irani Hazarika (ORCID: https://orcid.org/0000-0003-3468-946X)
Dwipen Laskar (ORCID: https://orcid.org/0000-0001-6081-4338)
Anjana Kakoti Mahanta (ORCID: https://orcid.org/0000-0001-9730-7129)
Farha Naznin (ORCID: https://orcid.org/0000-0001-6940-8424)

Publication Details

Journal: International Journal of Data Mining Modelling and Management
Published: 2025-08-03
DOI: https://doi.org/10.1504/ijdmmm.2026.10072741
Primary Topic: Data Mining Algorithms and Applications
Type: article
Field-Weighted Citation Impact: 0.00

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article

Mining Maximal Empty Rectangles

Irani Hazarika, Dwipen Laskar, Anjana Kakoti Mahanta, Farha Naznin

Aug 3, 2025

International Journal of Data Mining Modelling and Management

Data Mining Algorithms and Applications

article

Mining Maximal Empty Rectangles

Irani Hazarika, Dwipen Laskar, Anjana Kakoti Mahanta, Farha Naznin

August 3, 2025article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Data Mining Modelling and ManagementVol. 18(3)

Openalex Percentile: Top 72%

Data Mining Algorithms and Applications

DOI Source OpenAlex

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Mining Maximal Empty Rectangles — Irani Hazarika, Dwipen Laskar, et al. · International Journal of Data Mining Modelling and Management (2025) | TGRS Research Map | TGRS