{"title":"Deep learning in predictive analytics: A survey","authors":"Vaibhav Kumar, M. Garg","doi":"10.1109/ICETCCT.2017.8280331","DOIUrl":null,"url":null,"abstract":"Deep Learning techniques are in trend nowadays due to the capability to produce the fast and accurate result. Many researchers have developed the methods for predictive analytics in the area of data science. As deep learning techniques have an advantage over conventional learning techniques, these techniques are in demand in finding the insights into the data. This paper presents a survey of existing popular deep learning techniques used in predictive analytics along with the features, applications, and limitations of some popular techniques. This paper also gives some brief idea about the additional uses of these techniques and future scope of developing new features and applications based on highlighted models.","PeriodicalId":436902,"journal":{"name":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETCCT.2017.8280331","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
Deep Learning techniques are in trend nowadays due to the capability to produce the fast and accurate result. Many researchers have developed the methods for predictive analytics in the area of data science. As deep learning techniques have an advantage over conventional learning techniques, these techniques are in demand in finding the insights into the data. This paper presents a survey of existing popular deep learning techniques used in predictive analytics along with the features, applications, and limitations of some popular techniques. This paper also gives some brief idea about the additional uses of these techniques and future scope of developing new features and applications based on highlighted models.