This book reviews and explains the principal public records statutes applicable to records held by North Carolina local governments and examines the public's right of access to those records. It expands the coverage of the first edition and its cumulative supplement and also includes developments in the law since 2004. Although the book focuses on records held by local governments, state government officials also will find it useful.

The intent of Auditing Local Union Financial Records is to provide local union trustees and auditors with the know-how and confidence to spot and document problems so they can be promptly reported and corrected. This book provides local union trustees and auditors with a basic road map of procedures and a toolbox of skills and worksheets to accomplish their jobs. In addition, this book is intended to provide financial officers and local union employees with financial responsibilities a better understanding of how trustees and auditors will perform their duties, the purpose of the audit and how they can assist in providing the necessary records and support so that trustees and auditors can perform their task efficiently and effectively.

Terry Thomas considers the use of criminal records within the criminal justice system and beyond - especially the growth of their use for pre-employment screening via the Criminal Records Bureau. This book also considers future developments and the impact that transferring criminal records across international borders will have.

DATA ENGINEERING: Mining, Information, and Intelligence describes applied research aimed at the task of collecting data and distilling useful information from that data. Most of the work presented emanates from research completed through collaborations between Acxiom Corporation and its academic research partners under the aegis of the Acxiom Laboratory for Applied Research (ALAR). Chapters are roughly ordered to follow the logical sequence of the transformation of data from raw input data streams to refined information. Four discrete sections cover Data Integration and Information Quality; Grid Computing; Data Mining; and Visualization. Additionally, there are exercises at the end of each chapter. The primary audience for this book is the broad base of anyone interested in data engineering, whether from academia, market research firms, or business-intelligence companies. The volume is ideally suited for researchers, practitioners, and postgraduate students alike. With its focus on problems arising from industry rather than a basic research perspective, combined with its intelligent organization, extensive references, and subject and author indices, it can serve the academic, research, and industrial audiences.