Search
Now showing items 1-4 of 4
Data-Driven Modeling of Heterogeneous Multilayer Networks For Computing Communities Using Bipartite Graphs
(2019-08-12)
Today, more than ever, data modeling and analysis play a vital role for enterprises in terms of finding actionable business intelligence. Data is being collected on a large scale from multiple sources hoping they can be ...
MLN-Subdue: Decoupling Approach-Based Substructure Discovery In Multilayer Networks (MLNs)
(2020-06-03)
Substructure discovery is well-researched for single graphs (both simple and attribute) as it is an important component of knowledge discovery for many applications
such as finding the core substructure in a protein, ...
Analysis of Complex Data Sets using Multilayer Networks: A Decoupling-based Framework
(2020-08-06)
We are on the cusp of analyzing a variety of data being collected in every walk of life - social, biological, health-care, corporate, climate, to name a few. The data sets are becoming diverse and complex in addition to ...
HoMLN-SD: Substructure Discovery In Homogeneous Multilayer Networks
(2023-12-15)
Substructure discovery is a process in data analysis and data mining that involves identifying and extracting meaningful patterns, structures, or components within a larger dataset. These substructures can be of various ...