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Data mining applications: promise and challenges

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posted on 2025-05-09, 05:58 authored by Rukshan AthaudaRukshan Athauda, Menik Tissera, Chandrika Fernando
Data mining is an emerging field gaining acceptance in research and industry. This is evidenced by an increasing number of research publications, conferences, journals and industry initiatives focused in this field in the recent past. Data mining aims to solve an intricate problem faced by a number of application domains today with the deluge of data that exists and is continually collected, typically, in large electronic databases. That is, to extract useful, meaningful knowledge from these vast data sets. Human analytical capabilities are limited, especially in its ability to analyse large and complex data sets. Data mining provides a number of tools and techniques that enables analysis of such data sets. Data mining incorporates techniques from a number of fields including statistics, machine learning, database management, artificial intelligence, pattern recognition, and data visualisation.

History

Source title

Data Mining and Knowledge Discovery in Real Life Applications

Pagination

201-213

Publisher

InTech

Place published

Vukovar, Croatia

Language

  • en, English

College/Research Centre

Faculty of Science and Information Technology

School

School of Design, Communication and Information Technology

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