数据挖掘:回顾、漂移和问题

Lokendra Singh
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引用次数: 3

摘要

本文很好地概述了数据和信息或知识对人类活动的重要作用。数据挖掘是通过从不同角度分析大量数据并将其总结为有用信息的知识发现过程。由于从大型数据存储库中提取知识/信息的重要性,数据挖掘已经成为人类生活各个领域的重要组成部分。统计、机器学习、人工智能、模式识别和计算能力的进步已经发展了当今的数据挖掘应用,这些应用丰富了人类生活的各个领域,包括商业、教育、医疗、科学等。因此,本文讨论了数据挖掘领域从过去到现在的各种改进,并探讨了未来的趋势
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Mining: Review, Drifts and Issues
This paper gives a good overview of Data and Information or Knowledge has a significant role on human activities. Data mining is the knowledge discovery process by analyzing the large volumes of data from various perspectives and summarizing it into useful information. Due to the importance of extracting knowledge/information from the large data repositories, data mining has become an essential component in various fields of human life. Advancements in Statistics, Machine Learning, Artificial Intelligence, Pattern Recognition and Computation capabilities have evolved the present day’s data mining applications and these applications have enriched the various fields of human life including business, education, medical, scientific etc. Hence, this paper discusses the various improvements in the field of data mining from past to the present and explores the future trends
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