信息系统中数据挖掘技术的利用与精简评价

Trupti G.Ghongade, R. Khobragade
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引用次数: 0

摘要

数据挖掘是数据提取和数据分析的关键问题。数据挖掘已经为许多领域提供了答案,其中还包括权威的数据结构。随着时代呈指数级增长,每天产生的数据为Zeta字节。所以,期望得到正确的数据是非常困难的,我们需要新的策略和技术来理智地检查数据。分析这些数据对于提高信息系统的整体性能可能是非常关键的。换句话说,我们可以说数据挖掘策略是用来从大数据中提取有益数据的。DM在教育、医疗、企业、临床等众多领域发挥着重要作用。其原因是在企业目标和消费者需求之间操纵更高的知识。本文评价了许多作者在数据挖掘领域的贡献。此外,还讨论了信息系统学科内部的具体数据挖掘策略和算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation on Utilization and Emaciation of Data Mining Techniques in Information System
Data mining is a critical issue of data extraction and data analysis. Data mining has given answers to numerous fields which include authorities’ data structures additionally. As the era is growing exponentially Zeta byte of data is producing each day. So, it’s far very hard to expecting correct data, we want new strategies and technology to intellectually examine the data. Analyzing such data may be very critical for enhancing the overall performance of information system. In some other way, we can say that data mining strategies are used to extract beneficial data from big data. DM performs an essential position in numerous fields like education, healthcare, enterprise, the clinical arena, etc. The cause is to manipulate a higher knowledge among enterprise targets and consumer needs. This paper evaluates the contributions of numerous authors within side the discipline of data mining. It additionally discusses specific data mining strategies, algorithms within side the discipline of information system.
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