Introduction
When Wal-Mart installed their 24 terabyte data warehouse, it was among the largest in the world. Just a few years later, they were adding over a billion rows of data a day (Babcock 2006), and operating a 5 petabyte database (Lai 2008). An even more striking example is eBay, which started with a 14 terabyte database in 2002. It has since been adding over 40 terabytes of auction and purchase data every day into a data warehouse that is expected to exceed 20 petabytes by 2011. Clearly, as the cost of capturing data has decreased and easier-to-use data capture tools have become available, the volumes of data being accumulated have grown at a very rapid pace. Technological developments, with the evolution of the Internet playing a fundamental role, have enabled an increase in the volume of traditional data being recorded. Further, such developments have made possible the capture of information in far greater detail than ever before (based on barcodes or RFID, for example) and...
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Menon, S., Sharda, R. (2013). Data Mining. In: Gass, S.I., Fu, M.C. (eds) Encyclopedia of Operations Research and Management Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-1153-7_213
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