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Examines what steps to follow in collecting important information.
Aristotle's scientific research, logic and metaphysical theories, psychology and ethics and politics, all in their historical contexts.
All students can learn about collecting data through text written at four different reading levels. Symbols on the pages represent reading-level ranges to help differentiate instruction. Provided comprehension questions complement the text.
"A history of the role of information in the United States since 1870"--
The ever increasing public demand and the setting-up of national and international legislation on safety assessment of potentially dangerous plants require that a correspondingly increased effort be devoted by regulatory bodies and industrial organisations to collect reliability data in order to produce safety analyses. Reliability data are also needed to assess availability of plants and services and to improve quality of production processes, in particular, to meet the needs of plant operators and/or designers regarding maintenance planning, production availability, etc. The need for an educational effort in the field of data acquisition and processing has been stressed within the framework of EuReDatA, an association of organisations operating reliability data banks. This association aims to promote data exchange and pooling of data between organisations and to encourage the adoption of compatible standards and basic definitions for a consistent exchange of reliability data. Such basic definitions are considered to be essential in order to improve data quality. To cover issues directly linked to the above areas ample space is devoted to the definition of failure events, common cause and human error data, feedback of operational and disturbance data, event data analysis, lifetime distributions, cumulative distribution functions, density functions, Bayesian inference methods, multivariate analysis, fuzzy sets and possibility theory, etc.
This book presents an in-depth discussion on two concepts from the field of philosophy and law, in order to improve our understanding of the relation between “fact” and “evidence” in judicial process. Since fact-finding is a difficult task for judges, proof by evidence has been devised to help them access the truth. However, in the process of judicial fact-finding, there is always a gap between fact and truth. This book covers a wide range of topics, from reflections on the concept of “fact,” “evidence” and “fact-finding” in the field of philosophy and law to individual case studies. As such it is a useful reference resource on the continuing research on the judicial proof process for students and scholars.
Researchers are continually challenged to find different ways of investigating political, economic and social issues in Africa. This book describes social research methods and applications within African contexts. It features examples of social research conducted in various African countries.
History and Computingintroduces its readers to the history and practice of historical computing. While functioning as a practical introduction to the field, this book is designed also to raise awareness of the use of computers as an important tool for the historian, discussing such topics as the pattern of 19th century emigration from the UK; the performance of the American and German economies in the 1930s; and the Lancashire cotton industry, all of which demonstrate possibilities which computers offer to the historian. Through practical workshop exercises, History and Computingprovides a skills-enabling introduction to basic computer terminology. Examining the use of spreadsheets and how historians design and work with them, the book includes spreadsheet exercises based around a range of historical data sets. In addition, the authors explore the use of databases and demonstrate how to construct them. Merging historical exploration and practical instruction, History and Computingencourages further study and prompts its readers to apply the skills they have learnt to a number of examples.
Winner of a Shingo Prize for Excellence in Manufacturing Research Training Within Industry, by Donald Dinero, explores a crucial piece of a Lean initiative that has been overlooked throughout U.S. industry. The Training Within Industry (TWI) program developed by the United States during World War II has
Perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques About This Book Identify, collect, and analyze Hadoop evidence forensically Learn about Hadoop's internals and Big Data file storage concepts A step-by-step guide to help you perform forensic analysis using freely available tools Who This Book Is For This book is meant for statisticians and forensic analysts with basic knowledge of digital forensics. They do not need to know Big Data Forensics. If you are an IT professional, law enforcement professional, legal professional, or a student interested in Big Data and forensics, this book is the perfect hands-on guide for learning how to conduct Hadoop forensic investigations. Each topic and step in the forensic process is described in accessible language. What You Will Learn Understand Hadoop internals and file storage Collect and analyze Hadoop forensic evidence Perform complex forensic analysis for fraud and other investigations Use state-of-the-art forensic tools Conduct interviews to identify Hadoop evidence Create compelling presentations of your forensic findings Understand how Big Data clusters operate Apply advanced forensic techniques in an investigation, including file carving, statistical analysis, and more In Detail Big Data forensics is an important type of digital investigation that involves the identification, collection, and analysis of large-scale Big Data systems. Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. With the explosion of Big Data, forensic investigators need to be prepared to analyze the petabytes of data stored in Hadoop clusters. Understanding Hadoop's operational structure and performing forensic analysis with court-accepted tools and best practices will help you conduct a successful investigation. Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop's internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience. Style and approach This book is a complete guide that follows every step of the forensic analysis process in detail. You will be guided through each key topic and step necessary to perform an investigation. Hands-on exercises are presented throughout the book, and technical reference guides and sample documents are included for real-world use.