解决数据挖掘问题的Saas云服务应用

A. Mohseni, Mehrpooya Ahmadalinejad
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引用次数: 0

摘要

软件即服务(saas)实际上是一种模型,其中软件及其相关信息完全部署在云中。用户可以在网络浏览器的帮助下访问该软件。另一方面,过去几十年来在数据收集和存储能力方面取得的进步为许多科学提供了大量信息。数据挖掘是一种从这些数据中获取有用信息的尝试,全球增长数据的增长使数据挖掘的重要性增加了一倍。数据挖掘存在一些不足,包括:1;数据存在:必须首先调查数据并提取有用的数据,这伴随着错误。2. 数据的准确性:为了正确或不正确而收集的数据可能会有错误,例如,而不是男性性别。3.对数据挖掘算法领域的公众甚至专家不熟悉和控制;数据挖掘中的分析方法。本文试图证明使用saas服务执行数据挖掘步骤将解决所有这些问题。
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Saas Cloud Service Applications to Solve Data mining Problems
Software as a service (saas) is, in fact, a kind of model where software and its related information are fully deployed on the cloud. Users will be able to access the software with the help of a web browser. On the other hand, the advances that have been made in data collection and storage capabilities over the past decades have provided a lot of information in many sciences. Data mining is an attempt to obtain useful information from this data, and the growth of growth data globally has doubled the importance of data mining. Data mining has some shortcomings, including: 1. Data existence: Data must first be investigated and useful data extracted, which is accompanied by an error. 2. Accuracy of data: Data collected in order to be correct or incorrect may have errors, for example, instead of the male gender. 3. Failure to acquaint and control the general public and even experts in the field of data mining algorithms; Analysis methods in data mining. This paper attempts to demonstrate that performing data mining steps using the saas service will solve all these problems.
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