2019 IEEE International Congress on Big Data (BigDataCongress)最新文献

{"title":"IEEE BigData Congress 2019 Reviewers","authors":"Karl, Alvares De Oliveira, Frederico, Amini Salehi, Mohsen, Awad, Ahamed, Bacardit, Jaume, Barnaghi, Payam, Barros, Rodrigo Balaji, Buduru, Arun, Calheiros, N. Rodrigo, Cano, Alberto, Cao, Xin, Cárdenas Montes, Miguel, Cautis, Bogdan, Cesario, Eugenio, Chatterjee, Matthew, Fumarola, Antonio, Granado-Criado, M. José, Gruenwald, Jonathan, Masoumzadeh, Mutharaju, Raghava, Navarro, A. Cristóbal, Netto, Yusuke, Özcan, Ender, Parkes, J. Andrew, Peralta","doi":"10.1109/bigdatacongress.2018.00007","DOIUrl":"https://doi.org/10.1109/bigdatacongress.2018.00007","url":null,"abstract":"Aberer, Karl Alvares De Oliveira, Frederico Amini Salehi, Mohsen Awad, Ahamed Bacardit, Jaume Barnaghi, Payam Barros, Rodrigo Balaji Buduru, Arun Calheiros, Rodrigo N. Cano, Alberto Cao, Xin Cárdenas Montes, Miguel Cautis, Bogdan Cesario, Eugenio Chatterjee, Subarna Chen, Lisi Chen, Peng Choi, Byron Cuadrado, Félix Curry, Edward Da Silva, Dilma Dai, Dong Dai, Hong-Ning Dazzi, Patrizio Di, Sheng Diván, Mario José Djenouri, Youcef Dorier, Matthieu Dridi, Amna Dustdar, Schahram Fabiana, Pasqua Fan, Liyue Fletcher, George H.L. Forshaw, Matthew Fumarola, Fabio G.R., Gangadharan Gaber, Mohamed Galar, Mikel Gómez-Iglesias, Antonio Granado-Criado, Jose M. Gruenwald, Le Gryz, Jarek Guo, Yanfei Hamlich, Mohamed Hao, Jin-Kao Hara, Takahiro He, Jiong He, Qiang Herrera, Francisco Hidders, Jan Hu, Liting Huang, Xin Ishikawa, Yoshiharu Javadi, Bahman Karatza, Helen Kechadi, Tahar Khalifa, Shadi Khayyat, Zuhair Kheiri, Ahmed Koch, Fernando Koldehofe, Boris Kuhn, Michael Lee, Young Choon Li, Yusen Li, Zengxiang Liao, Hao Limet, Sébastien Liu, Haikun Lodi, Andrea Lu, Hua Lu, Xiaoyi Lughofer, Edwing Magdy, Amr Malerba, Donato Malik, Tanu Malin, Brad Marcelloni, Francesco Marozzo, Fabrizio Martí, Jonathan Masoumzadeh, Amirreza Molina-Solana, Miguel Mutharaju, Raghava Navarro, Cristobal A. Netto, Marco Nojima, Yusuke Özcan, Ender Parkes, Andrew J. Peralta, Daniel Provetti, Alessandro Qi, Lianyong Qin, Yongrui Queralt, Anna Renso, Chiara Rodero, Ivan Romero, Oscar Ropars, Thomas Rubio-Largo, Alvaro Sakr, Sherif Samanthula, Bharath Kumar Samarati, Pierangela Santander-Jiménez, Sergio Sanz Delgado, José Antonio Schunter, Matthias Shi, Weidong Simonet, Anthony Singh, Neeraj Singhal, Rekah Strohbach, Martin Taheri, Javid Talia, Domenico Tang, Shanjiang Tao, Dingwen Torres Torres, Mercedes Vega-Rodríguez, Miguel A. Ventura, Sebastián Vernier, Matthieu Villar, José Ramón Wang, Cheng Wang, Hao","PeriodicalId":335850,"journal":{"name":"2019 IEEE International Congress on Big Data (BigDataCongress)","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114752092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"BiDaML: A Suite of Visual Languages for Supporting End-User Data Analytics","authors":"Hourieh Khalajzadeh, Mohamed Abdelrazek, J. Grundy, J. Hosking, Qiang He","doi":"10.1109/BigDataCongress.2019.00025","DOIUrl":"https://doi.org/10.1109/BigDataCongress.2019.00025","url":null,"abstract":"We introduce Big Data Analytics Modeling Languages (BiDaML), a novel integrated suite of visual languages aimed at supporting end users during the process of designing big data analytics solutions. BiDaML comprises five diagrammatic notations: a data analytics brainstorming diagram; a process diagram; technique diagrams; data diagrams; and output diagrams. Tool support in the form of an integrated design environment for creating BiDaML diagrams has also been developed. To demonstrate the utility of BiDaML, we illustrate our approach with a real-world example of property price prediction and evaluate BiDaML using the physics of notations and cognitive walkthroughs with target end users - data scientists and software engineers.","PeriodicalId":335850,"journal":{"name":"2019 IEEE International Congress on Big Data (BigDataCongress)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115378559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}