Leveraging Microsoft .NET Core for Data Mining Applications

The research investigates how Microsoft .NET Core functions for building data mining applications. The framework provides cross-platform functionality and high performance alongside its extensive libraries which improve data extraction and analysis capabilities. The paper uses case studies to show how .NET Core enables real-world data mining and predictive analytics which makes it an essential tool for developers and analysts who need data to make informed decisions.

Authors

Publication Details

Journal
International Journal on Science and Technology
Published
2025-05-31
DOI
https://doi.org/10.71097/ijsat.v16.i2.5506
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Leveraging Microsoft .NET Core for Data Mining Applications

Arun K Gangula, Akshay R Gangula -
International Journal on Science and Technology
Data Mining Algorithms and Applications
article

Leveraging Microsoft .NET Core for Data Mining Applications

Arun K Gangula, Akshay R Gangula -
article en

Abstract

The research investigates how Microsoft .NET Core functions for building data mining applications. The framework provides cross-platform functionality and high performance alongside its extensive libraries which improve data extraction and analysis capabilities. The paper uses case studies to show how .NET Core enables real-world data mining and predictive analytics which makes it an essential tool for developers and analysts who need data to make informed decisions.

International Journal on Science and TechnologyVol. 16(2)
Openalex Percentile: Top 83%
Data Mining Algorithms and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Leveraging Microsoft .NET Core for Data Mining Applications — Arun K Gangula, Akshay R Gangula - · International Journal on Science and Technology (2025) | TGRS Research Map | TGRS