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In this paper, we report on first analysis and prediction of customer defection in the scholarly publishing market — a subscription-type one. We are happy to report that, inspired by the Nyquist–Shannon sampling theorem —information contained in sampled data can be reconstructed exactly if its maximum frequency is lower than half the Nyquist limit—, a simpler approach to inferring defection from customers’ historic use of service can be a valid one. We show results of highly timely and accurate predictions by modeling a much lower-dimensional representation of such a problem.

This work presents the first attempt to automate the (still manually-handled) mapping of free written work and items’ cost text descriptions, from construction cost documents called bills of quantities (BoQs), into the In- ternational Cost Measurement Standard (ICMS), which will enable benchmarkers to compare and benchmark the performance of projects at a scale that was never done before, and facilitate more effective cost and risk analysis in construction projects.