Published February 28, 2025 | Version CC-BY-NC-ND 4.0
Journal article Open

Emerging Need for Disruption in the Next Trend of Artificial Intelligence-Controlled Transformation Using Knowledge Mining

Authors/Creators

  • 1. Assistant Professor, Department of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia.

Contributors

Contact person:

  • 1. Assistant Professor, Department of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia.
  • 2. Department of Computer Science, King Khalid University, Abha, Kingdom of Saudi Arabia.

Description

Abstract: Knowledge mining is an emerging type of artificial intelligence (AI), that uses a grouping of AI facilities to determine satisfied thought over huge volumes of unstructured, semi-structured, and structured data that permit industries to extremely recognize their data, search it, expose visions and found associations and designs at scale. Although the initial trend of AI contained numerous slight applications, such as the preparation of a particular model over a single statistics basis of a positive kind for a particular problem, knowledge mining is the next trend of Artificial Intelligence, producing an active quantity of data associations and designs. It has rapidly brought a main part of initiative digital transformation creativity that basically modification how groups brand a sense of real-world statistics. Through this survey, we have analyzed more than two-thirds of 68% of respondents to a current Harvard Business Brush up Analytic Services survey think knowledge mining is key to succeeding in their corporations' considered objectives in the next 18 months. Then the requirement for knowledge mining is rapidly increasing 80% are using physical approaches to switch unstructured data, and those approaches will rapidly be overtaken by the development of statistics and possibly apply circumstances in which this data has delivered excessive rate.

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Additional details

Identifiers

DOI
10.35940/ijeat.C4564.14030225
EISSN
2249-8958

Dates

Accepted
2025-02-15
Manuscript received on 14 October 2024 | First Revised Manuscript received on 23 October 2024 | Second Revised Manuscript received on 02 January 2025 | Manuscript Accepted on 15 February 2025 | Manuscript published on 28 February 2025.

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