Big Data Mining : Tools, Technique, Application
DOI:
https://doi.org/10.32628/CSEIT239065Keywords:
Bigdata, Traditional Data, Analysis, Tools, Business IntelligenceAbstract
Beyond the capabilities of traditional applications, big data is a vast dataset of incredible complexity. In the modern environment, it includes enormous, intricate, and voluminous structured, semi-structured, and unstructured data, together with hidden data supplied from various domains and origins. The duties of data extraction, analysis, visualization, sharing, storage, transmission, and retrieval are all included in the issues provided by the management of big data. As a result, it becomes urgently necessary to develop effective and efficient methods for mining big data.
References
- Kudyba, S. (2014). Big Data, Mining, and Analytics: Components of Strategic Decision Making. CRC Press.
- Elorie Knilans, “The 5 V’s of Big Data”, Avnet Advantage: The Blog, Soulution- Focused Insight for Growth-Minded VARs. http://blogging.avnet.com/ts/advantag e/2014/07/the-5- vs-of-big-data/#comment-474 (Last seen 05–April–2015)
- The Four V’s of Big Data – IBM http://www.ibmbigdatahub.com/infogr aphic/four-vs-big- data (last seen 05–April–2015). 4.Feinleib, D. (2014). Doing a Big Data Project. In Big Data Bootcamp (pp. 103- 123).Apress.
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