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Big-Data – Theoretical, Engineering and Analytics Perspective
0 references·4 citing·17 second hop
Big-Data – Theoretical, Engineering and Analytics Perspective (2012)Big-Data – Theoretical, Engineering and A…Big data and analytics: issues, challenges, and opportunities (2015)Big data and analytics: issue…Exploring Big Data Opportunities for Online Customer Segmentation (2014)Exploring Big Data Opportunit…BIG DATA ANALYTICS: A TEXT MINING-BASED LITERATURE ANALYSIS (2014)BIG DATA ANALYTICS: A TEXT MI…Towards a big data reference architecture (2013)Towards a big data reference …A Design Science Research Methodology for Information Systems Research (2007)Big data: The next frontier for innovation, competition, and productivity (2011)Business Intelligence and Analytics: From Big Data to Big Impact (2012)A Review of Big Data Analytics for Customer Relationship Management (2018)Customer Segmentation on Online Retail using RFM Analysis: Big Data Case of Bukku.id (2019)Big data: the management revolution. (2012)Data mining with big data (2013)DATA INTELLIGENCE IN THE CONTEXT OF BIG DATA: A SURVEY (2017)Big data: A review (2013)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Big Data and Healthcare Data (2017)One size fits all? (2005)Building a Data Warehouse (2008)Big data: a revolution that will transform how we live, work, and think (2013)Data Warehouse and Big Data Integration (2017)Big Data Quality Assessment Model for Unstructured Data (2018)Developing a government enterprise architecture framework to support the requirements of big and open linked data with the use of cloud computing (2018)
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  • 2013Towards a big data reference architecture24 cited
  • 2014Exploring Big Data Opportunities for Online Customer Segmentation19 cited
  • 2014BIG DATA ANALYTICS: A TEXT MINING-BASED LITERATURE ANALYSIS15 cited
  • 2015Big data and analytics: issues, challenges, and opportunities14 cited

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