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This text covers R program coding for the implementation of two essential data analytics for practical construction problems. The first part of this book explains time series basics, models, and forecasting approaches in the context of the construction industry, accompanied by practical examples in construction. The second part describes the concept of investment valuation for construction projects and provides both deterministic and probabilistic techniques to conduct investment valuation on construction projects. R code scripts are provided in this book for solving practical problems in the construction industry. This book is also equipped with an R Package entitled “cdar” to provide the necessary functions for performing investment valuation. The book maximizes students’ understanding of the necessary theoretical background of data analytics, and explains the implementation of data analytics techniques to solve the actual problems in the construction industry.

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This book proposes ways to make construction project incentive schemes effective. In this book, construction incentivization is used as a collective term that includes all forms of incentive arrangements aiming to engender extra effort of the contracting parties for the improvement of project performance. This book addresses two questions: i) why so many construction incentive schemes are not delivering the desired outcome? and ii) what will make incentive works under different circumstances? This book contributes to the body of knowledge in construction incentivization by offering conceptualization, showcases and practice suggestions including guidelines for the planning of construction incentive schemes.

This book constitutes the proceedings of the 21st International Conference on Compiler Construction, CC 2012, held as part of the joint European Conference on Theory and Practice of Software, ETAPS 2012, which took place in Tallinn, Estonia, in March/April 2012. The 13 papers presented in this book were carefully reviewed and selected from 51 submissions. They are organized in topical sections named: GPU optimisation, program analysis, objects and components, and dynamic analysis and runtime support.