Spatial data mining is a method for extracting useful information from geographical databases. Collecting massive volumes of geographical data for uses as diverse as geospatial analysis and biomedical research has made this a very demanding area of study....
One of the best aspects of reverse engineering is software architecture recovery, which is an abstract. There is a lot of literature on recovering software architecture using a variety of methods. Clustering is one method; it finds parts of the program that...
Machine Learning with Python (MLPY) has emerged as a cornerstone of modern data-driven research and intelligent system development. Python’s simplicity, extensive libraries, and strong community support make it one of the most widely adopted programming...
In the modern digital era, data has become one of the most valuable organizational assets, driving innovation, efficiency, and competitive advantage. However, the mere availability of large volumes of data does not automatically translate into effective...
The WEKA (Waikato Environment for Knowledge Analysis) provides a comprehensive suite of tools and functionalities for applying data mining techniques to large and complex datasets. Designed to support both academic research and industrial applications, WEKA...
Multimorbidity, the coexistence of two or more chronic conditions in an individual, presents complex challenges for healthcare management and research. Traditional epidemiological and statistical methods often fail to capture the intricate interactions...
The main aim of the International Journal of Modern Computing (IJMC) is to publish refereed, well-written original research articles...
Haleema Tayyab
Awan Tower, Peshawar, Pakistan
Monday – Friday, 9:00 AM – 6:00 PM (PKT)
For manuscript status queries, please contact the relevant journal's editorial team directly rather than the general office.
