A. F. Conceição, Jimmy V. Sánchez, Bruno Gabriel dos Santos, Dario Vieira, V. Rocha
{"title":"Pipeline architecture for mobile data analysis","authors":"A. F. Conceição, Jimmy V. Sánchez, Bruno Gabriel dos Santos, Dario Vieira, V. Rocha","doi":"10.1109/ICOIN.2014.6799730","DOIUrl":null,"url":null,"abstract":"This paper presents a cloud architecture that allows collecting and analyzing mobile data. The system offers simple and intuitive interfaces to create mobile applications (Apps), without the need for any programming skill to develop them. The platform allows the collection of conventional data, such as numbers and text, and also non-conventional data, such as multimedia files, location information, and barcodes. The collected data can be shared among users on a social network. In addition, we propose a pipeline architecture to data analyzing.","PeriodicalId":388486,"journal":{"name":"The International Conference on Information Networking 2014 (ICOIN2014)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The International Conference on Information Networking 2014 (ICOIN2014)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN.2014.6799730","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
This paper presents a cloud architecture that allows collecting and analyzing mobile data. The system offers simple and intuitive interfaces to create mobile applications (Apps), without the need for any programming skill to develop them. The platform allows the collection of conventional data, such as numbers and text, and also non-conventional data, such as multimedia files, location information, and barcodes. The collected data can be shared among users on a social network. In addition, we propose a pipeline architecture to data analyzing.