Generating data is the defining aspect of empirical work. Data in this respect is understood as information-capacitated material that must be discovered, mined, unearthed - or a near limitless range o
This ground-breaking book takes an interdisciplinary approach to language, religion and media using an audience-response study. In this book, the author investigates how the three Abrahamic faiths - C
This book discusses data privacy in banking and financial services, anonymization principles and practice, test data management, and synthetic data generation. From a practice standpoint, it provides
A systematic introduction to the theory, development and latest research results of radar data processing technology• Presents both classical theory and development methods of radar data processing• P
Designed for senior-level and graduate courses in Dynamics of Structures and Earthquake Engineering. Dynamics of Structures includes many topics encompassing the theory of structural dynamics and
This book presents cutting edge research on the newethical challenges posed by biomedical Big Data technologies and practices.‘Biomedical Big Data’ refers to the analysis of aggregated, very large dat
This textbook approaches optimization from a multi-aspect, multi-criteria perspective. By using a Multiple Criteria Decision Making (MCDM) approach, it avoids the limits and oversimplifications that c
Although the disciplines of architecture and structural engineering have both experienced their own historical development, their interaction has resulted in many fascinating and delightful structures
This book focuses on basic and advanced concepts of wave propagation in diverse material systems and structures. Topics are organized in increasing order of complexity for better appreciation of the s
The tool for visualization is Microsoft Visual C++. This popular software has the standard C++ combined with the Microsoft Foundation Classes (MFC) libraries for Windows visualization.
Biclustering is a data-mining technique that allows simultaneous clustering of rows and columns within a matrix. This book focuses on biclustering as an unsupervised learning method for high-dimension
Data uncertainty widely exists in many applications, and an uncertain data stream is a series of uncertain tuples that arrive rapidly. However, traditional techniques for deterministic data streams ca
This book covers evolutionary studies using molecular data – sequences, structure, etc. – which are now routine and have become a central part of the life sciences curriculum. The new edition has been
Criminalized power structures (CPS) are illicit networks that profit from transactions in black markets and from criminalized state institutions while perpetuating a culture of impunity. The book arti
For courses in Political and Social Statistics ? Using the popular SPSS software to de-mystify statistics ? Using SPSS for Windows and Macintosh guides students through basic SPSS techniques
This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and
Vera Mackie, a leading scholar of Japanese history, takes the original approach of using examples of the extraordinary visual culture of the last century to bring new insights into the political and c
This book presents the latest numerical solutions to initial value problems and boundary value problems described by ODEs and PDEs. The author offers practical methods that can be adapted to solve wide ranges of problems and illustrates them in the increasingly popular open source computer language R, allowing integration with more statistically based methods. The book begins with standard techniques, followed by an overview of 'high resolution' flux limiters and WENO to solve problems with solutions exhibiting high gradient phenomena. Meshless methods using radial basis functions are then discussed in the context of scattered data interpolation and the solution of PDEs on irregular grids. Three detailed case studies demonstrate how numerical methods can be used to tackle very different complex problems. With its focus on practical solutions to real-world problems, this book will be useful to students and practitioners in all areas of science and engineering, especially those using R.
This book is about innovation, big data, and data science seen from a business perspective. Big data is a buzzword nowadays, and there is a growing necessity within practitioners to understand better
This book presents and explains the methods utilized to apply techniques from big data to massive structural data sets, especially those relating to the generation and analysis of very large networks
Criminalized power structures (CPS) are illicit networks that profit from transactions in black markets and from criminalized state institutions while perpetuating a culture of impunity. These crimina
A fully updated, hands-on guide to the design of steel structuresSteel Structures Design for Lateral and Vertical Forces, Second Edition, covers the fundamentals of behavior and the latest design meth
While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data.
The book deals with the geotechnical analysis and design of foundation systems for high-rise buildings and other complex structures with a distinctive soil-structure interaction. The basics of the ana
Incorporating an innovative focus on data visualization and time series forecasting,Data Mining for Business Intelligence supplies insightful, detailed guidance on fundamental data mining techniques.
From the first tally, scratched on a wolf bone over thirty thousand years ago, to the Large Hadron Collider, which produces forty million megabytes of data per second, data is big, and getting bigger.
Econometrics is a branch of economics that aims to analyze financial and economic data sets by using various statistical, mathematical and computational tools. The aim of this book is to present resea
This book presents different use cases in big data applications and related practical experiences. Many businesses today are increasingly interested in utilizing big data technologies for supporting t
Big data is a broad term that defines the structured or unstructured data sets. It is a challenging field which includes analysis, transfer and visualization of data. This book presents in-depth descr
This book addresses three challenging issues related to Big Data. First, how do we aggregate heterogeneous types of data from numerous sources and then use fast database management technology to store
Addressing structures, this book presents a classical subject in a modern setting by combining illustrated examples with insights into the solutions. It is the fruit of the authors’ many years of teac
This revised, fully updated second edition covers the analysis, design, and construction of reinforced concrete structures from a real-world perspective. It examines different reinforced concrete elem
This book advances an environmental approach to enhancing creativity in secondary schools, by interweaving educational creativity theory with creative industries environmental approaches. Using Anna C
This comprehensive study provides a perceptive portrait of workplace employment relations in Britain and France using comparable data from two large-scale surveys: the British Workplace Employment Rel
This volume details several important databases and data mining tools. Data Mining Techniques for the Life Sciences, Second Editionguides readers through archives of macromolecular three-dimensional s
Recent Progress in Steel and Composite Structures includes papers presented at the XIIIth International Conference on Metal Structures (ICMS 2016, Zielona Góra, Poland, 15-17 June 2016). The contribut
From the characterization of materials to accelerated life testing, experimentation with solids and structures is present in all stages of the design of mechanical devices. Sometimes only an experimen
Robert John Ackermann deals decisively with the problem of relativism that has plagued post-empiricist philosophy of science. Recognizing that theory and data are mediated by data domains (bordered da
The author traces 19th-century origins of sociology in post-Revolutionary Europe, and contrasts European and American approaches to sociological data. Using the concepts of mass behavior and mass soci
An attempt to discover whether a foreign policy consensus can exist among the diverse groups in America, using data from 1,065 national leaders.Originally published in 1963.The Princeton Legacy Librar
