Valuing for fair rents

'Fair rents' were first introduced in the Rent Acts 1965, to provide a system of rent regulation and residential security of tenure. This research into valuing for fair rents finds practices that are confused, misguided and inconsistent between different parts of the country. A more rational approach to valuation is illustrated through worked valuation examples, but the report recommends other more radical changes to the fair rent system. The study is based on a thorough review and critical analysis of the legislative background, case law, housing market theory and valuation practice. Case studies of fair rent appeals to rent assessment panels are used to explore valuation practice, including implications for the Maximum Fair Rent Order 1999. As a case study of housing regulation and a practical guide to valuing fair rents, the report makes essential reading for valuation practitioners, regulated tenants and landlords, members of the rent service and housing policy makers.

Pocket data mining - big data on small devices

Owing to continuous advances in the computational power of handheld devices like smartphones and tablet computers, it has become possible to perform Big Data operations including modern data mining processes onboard these small devices. A decade of research has proved the feasibility of what has been termed as Mobile Data Mining, with a focus on one mobile device running data mining processes. However, it is not before 2010 until the authors of this book initiated the Pocket Data Mining (PDM) project exploiting the seamless communication among handheld devices performing data analysis tasks that were infeasible until recently. PDM is the process of collaboratively extracting knowledge from distributed data streams in a mobile computing environment. This book provides the reader with an in-depth treatment on this emerging area of research. Details of techniques used and thorough experimental studies are given. More importantly and exclusive to this book, the authors provide detailed practical guide on the deployment of PDM in the mobile environment. An important extension to the basic implementation of PDM dealing with concept drift is also reported. In the era of Big Data, potential applications of paramount importance offered by PDM in a variety of domains including security, business and telemedicine are discussed.