{"title":"Saas Cloud Service Applications to Solve Data mining Problems","authors":"A. Mohseni, Mehrpooya Ahmadalinejad","doi":"10.1109/KBEI.2019.8734941","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":339990,"journal":{"name":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KBEI.2019.8734941","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.