{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,8]],"date-time":"2026-02-08T15:37:33Z","timestamp":1770565053518,"version":"3.49.0"},"publisher-location":"Cham","reference-count":11,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319491059","type":"print"},{"value":"9783319491066","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,10,22]],"date-time":"2016-10-22T00:00:00Z","timestamp":1477094400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017]]},"DOI":"10.1007\/978-3-319-49106-6_73","type":"book-chapter","created":{"date-parts":[[2016,10,21]],"date-time":"2016-10-21T06:33:13Z","timestamp":1477031593000},"page":"731-738","source":"Crossref","is-referenced-by-count":8,"title":["Data Preprocessing Quality Management Procedure for Improving Big Data Applications Efficiency and Practicality"],"prefix":"10.1007","author":[{"given":"Sen-Tarng","family":"Lai","sequence":"first","affiliation":[]},{"given":"Fang-Yie","family":"Leu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,10,22]]},"reference":[{"key":"73_CR1","unstructured":"Zikopoulos, P., Eaton, C. et al: Understanding big data: analytics for enterprise class hadoop and streaming data. McGraw-Hill Osborne Media (2011)"},{"key":"73_CR2","doi-asserted-by":"crossref","unstructured":"Chen, C.L. Philip, Zhang, C.-Y.: Data-intensive applications, challenges, techniques and technologies: A survey on Big Data. Information Sciences 275, (2014) 314\u2013347","DOI":"10.1016\/j.ins.2014.01.015"},{"key":"73_CR3","unstructured":"Wagner, D.: The importance of big data analytics in business. October, World of tech . http:\/\/http:\/\/www.techradar.com\/news\/world-of-tech\/the-importance-of-big-data-analytics-in-business-1267606\/2 (2014)"},{"key":"73_CR4","doi-asserted-by":"crossref","unstructured":"Elgendy, N., Elragal, A.: Big Data Analytics: A Literature Review Paper. Lecture Notes in Computer Science. (2014) 214-227","DOI":"10.1007\/978-3-319-08976-8_16"},{"key":"73_CR5","unstructured":"Tee, J.: Handling the four \u2019V\u2019s of big data: volume, velocity, variety, and veracity. TheServerSide.com. (2013)"},{"key":"73_CR6","doi-asserted-by":"crossref","unstructured":"Lukoianova, T., Rubin, Victoria L.: Veracity Roadmap: Is Big Data Objective, Truthful and Credible?. 24th ASIS SIG\/CR Classification Research Workshop. (2014)","DOI":"10.7152\/acro.v24i1.14671"},{"key":"73_CR7","doi-asserted-by":"crossref","unstructured":"Cai, L. and Zhu, Y.: The Challenges of Data Quality and Data Quality Assessment in the Big Data Era. Data Science Journal. 14: 2. (2015) 1-10","DOI":"10.5334\/dsj-2015-002"},{"key":"73_CR8","unstructured":"Saha, B. and Srivastava, D.: Data quality: The other face of Big Data. in 2014 IEEE 30th International Conference on Data Engineering (ICDE). (2014) 1294\u20131297"},{"key":"73_CR9","unstructured":"Dssouli, R., Serhani, M. A.: Big Data Pre-processing: A Quality Framework. 2015 IEEE International Congress on 2015. (2015) pp.191\u2013198"},{"key":"73_CR10","unstructured":"Deshpande, B.: 5 situations which drive data pre-processing before data mining. 2013, http:\/\/www.simafore.com\/blog\/bid\/116618\/5-situations-which-drive-data-pre-processing-before-data-mining(2013)"},{"key":"73_CR11","unstructured":"Fenton, N. E.: Software Metrics - A Rigorous Approach. Chapman & Hall. (1991)"}],"container-title":["Lecture Notes on Data Engineering and Communications Technologies","Advances on Broad-Band Wireless Computing, Communication and Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-49106-6_73","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,14]],"date-time":"2019-09-14T18:07:27Z","timestamp":1568484447000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-49106-6_73"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,22]]},"ISBN":["9783319491059","9783319491066"],"references-count":11,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-49106-6_73","relation":{},"ISSN":["2367-4512","2367-4520"],"issn-type":[{"value":"2367-4512","type":"print"},{"value":"2367-4520","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10,22]]}}}