Building a Technological Landscape of Innovative Solutions Based on Data Mining

The relevance of this research is determined by the development of digital technologies and the digital transformation of enterprises. The complexity is the modeling of business automation and innovation management, requiring methods of applied research management and the consideration of technology readiness. The purpose of this paper is to build an automation model in Orange analytical and simulation modeling environment. Descriptive, analytical and data discovery methods are used to achieve the research objective. The object of the study is the approaches to building a technology landscape. The subject of the study is the analysis of models and tools based on data mining. The result of the study is found in the developed model of automation based on intelligent data analysis, realized in the form of a conceptual scheme that can be used to build a technological landscape of innovative solutions at enterprises and conclusions are made about the feasibility of using this model.

Authors

Institutions

Publication Details

Journal
Scientific and Technical Information Processing
Published
2025-12-01
DOI
https://doi.org/10.3103/s0147688225700327
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Building a Technological Landscape of Innovative Solutions Based on Data Mining

V. A. Shiboldenkov, D. M. Kkhan
Scientific and Technical Information Processing
Digital Transformation in Industry
article

Building a Technological Landscape of Innovative Solutions Based on Data Mining

V. A. Shiboldenkov, D. M. Kkhan
article en

Abstract

The relevance of this research is determined by the development of digital technologies and the digital transformation of enterprises. The complexity is the modeling of business automation and innovation management, requiring methods of applied research management and the consideration of technology readiness. The purpose of this paper is to build an automation model in Orange analytical and simulation modeling environment. Descriptive, analytical and data discovery methods are used to achieve the research objective. The object of the study is the approaches to building a technology landscape. The subject of the study is the analysis of models and tools based on data mining. The result of the study is found in the developed model of automation based on intelligent data analysis, realized in the form of a conceptual scheme that can be used to build a technological landscape of innovative solutions at enterprises and conclusions are made about the feasibility of using this model.

Scientific and Technical Information ProcessingVol. 52(5)
Bauman Moscow State Technical University (RU)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Digital Transformation in Industry
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.