Developing Conception about Differences between OLAP And Data Mining

Dr. Ajay B Gadicha, Dr. V. Gokula Krishnan
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Abstract

The following study has been based on the concept of data mining and OLAP and the differences between these aspects. At the beginning, the procedures of data mining an OLAP have been served with a brief introduction. The discussion have focused on the section namely the introductory section, the methodology section, results section, discussion and the conclusion part. The results part has given a detailed account about in ways the data mining is different from the OLAP. Both the technology has been emplaced separates atha tthe finally into result section key difference has been analysis thoroughly. Data is a emerging technological tool that was going o be a revolutionary in the future technology sector but into the current the use of data mining is complex and it is difficult to make the most as the technology is costly as well sales expertise is available in the market. Due to this it can be said that the technology is at a developing stage and it needs further improvement. OLAP is the type of technological tool that is often used to make the process more and more convenient with the analysis of past data. Bothe the technology has its own significance and differences that has been given in the research study.
发展关于OLAP和数据挖掘之间差异的概念
下面的研究是基于数据挖掘和OLAP的概念以及这两个方面的区别。首先,简要介绍了OLAP数据挖掘的过程。讨论集中在绪论部分、方法论部分、结果部分、讨论部分和结论部分。结果部分详细说明了数据挖掘与OLAP的不同之处。对两种技术进行了深入的分析,并对最后进入结果段的关键差异进行了深入的分析。数据是一种新兴的技术工具,它将成为未来技术领域的革命性工具,但就目前而言,数据挖掘的使用是复杂的,很难充分利用,因为该技术成本高昂,而且市场上有销售专业知识。因此,可以说该技术处于发展阶段,需要进一步改进。OLAP是一种技术工具,它经常用于使分析过去数据的过程变得越来越方便。这两种技术都有其自身的意义和差异,并在研究中给出了不同之处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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