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Web Performance Bookshelf

Rigor

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. You only have a few seconds to get compelling content onto the screen. ” – Andy King, 2003.

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Data Mining Problems in Retail

Highly Scalable

Although this data is available, it should be considered with caution because of the specific dependency on a retailer’s business model, and the fact that we cannot isolate the impact of the optimization from other environmental factors such as market growth or competitors’ moves. Jain, 2005. van Ryzin, 2005. Jannach, M.

Retail 152