The 13 chapters in this collection survey current work in storing and analyzing data and using algorithms to search and discover new knowledge automatically from multidimensional data sets. Several co
So much data is being generated these days that scientists spend a lot of time on such matters as where to store it, how to access it, or how to move it to visualization or computer resources for furt
The 22 papers in this collection explore simulation theory, Petri nets, Monte Carlo, visualization, real-time simulation, and applications to neural networks, data mining, wireless networks, banks, an
"This book provides relevant theoretical frameworks and the latest empirical research findings in the area of information visualization. It explores the application of Infovis in humanity and social s
"This book addresses the challenges associated with data analysis through providing guidance in data retrieval and analysis and examples of high-quality research making use of these data sets. It incl
"This book addresses different aspects of data management and ethical issues in research such as data collection, data processing, data storage and retention among others to produce a very comprehensi
Even though 4G (fourth-generation mobile cellular networks) is not yet mainstream, computer scientists here say that a new generation is already needed with multidimensional requirements and challe
Computer scientists from around the world report recent developments in data warehousing, focusing not on the static storage of data, but on how the data can be used to devise or refine business strat
This work reviews practical and theoretical aspects of sensor network data management, for those working in database, data warehousing, data mining, and sensor network research. Chapters by internatio
"This book helps lay the groundwork for how to use the large amounts of available data from the myriad online learning systems. Its approach of looking at online learning data will advance the field o
Computer scientists describe the current state and trends in big data analytics, its technologies, and applications. Among their topics are a brief review on deep learning and types of implementati
Focusing on classifying and clustering techniques, computer scientists look at the multidisciplinary nature of big data and its applications and challenges in various fields. Their topics include
"This book covers the fundamental concepts of big data management and analytics along with recent research development in big data. It also includes various real time/offline applications and case stu
"This book aims at analyzing impact of such changes in developing countries on the information and data generated, owned and maintained by the government. The book focus on the challenges, weaknesses
For readers who may not be statisticians or data analysts, Sarmento and Costa explain how to analyze data using the Python and R languages. They have particularly in mind, students and researchers
Oceanographers and other environmental scientists, and engineers engaged with technology used in such fields, explore theoretical and historical aspects of cross-domain data management as applied to t
To explore how to conduct research using social media, contributors from a wide range of fields--among them computer engineering, economics, and education--discuss modeling with social data, analytics
"This book explores emerging research on the ever-growing field of big data and facilitates further knowledge development on methods for handling and interpreting large data sets, providing multi-disc
Data analysis forms the basis of many forms of research ranging from the scientific to the governmental. With the advent of machine intelligence and neural networks, extracting, modeling, and approach
It's a research discipline in the throes of growth because of the quantity of data that can be assembled and the need to make sense of it. Effective mining of huge amounts of complex data requires a f
International contributors present new developments in the areas of data warehousing and data mining. An introduction gives an overview of data warehousing and its importance in providing support for
"This book explores the extraction and prediction of patterns at multiple levels of abstraction. It involves a procedure handling both numeric and nominal data at once using a single method and the me
"This book provides information the on techniques and processes in the changing arena of data that will help the world for the next generation and yet protect the instructional concerns for today's st
Explaining how to develop and evaluate decision support systems based on web data mining, computer scientists cover developing decision support systems, developing web mining systems, developing ef
Web usage mining is the application of data mining technologies to discover interesting usage patterns from web data in order to understand and better serve the needs of web-based applications. The bu
The volume, complexity, and irregularity of computational data in modern algorithms and simulations necessitates an unorthodox approach to computing. Understanding the facets and possibilities of soft
Ultimately the large volumes of data that reside in or move through the electronic dimension of information must be presented for human consideration in some manner of simple visual form--chart, diagr
This collection of fifteen articles on advanced data mining technologies provides an overview of current scholarship in this increasingly important field of information management. Divided into sectio
For academics, researchers, engineers, and data mining and other professionals, Koyuncugil and Ozgulbas (Baskent U., Turkey) compile 14 chapters on the use of surveillance systems, early warning syste
The first half of this volume examines the sources of interaction data that exist in the United Kingdom while the second half presents descriptive analyses of internal migration propensities and patte
Meant for those in government agencies, practicing managers, and academicians, this volume details how data mining can be used at various levels of management. Syvajarvi (administrative science, Lapla
This introduction to basic methodology, current research, and advanced techniques of data mining will be useful as a handbook for researchers, practitioners, and technologists. It can also serve as te
The entire process of designing and using a data warehouse is detailed in this work, encompassing requirement specification, conceptual, logical, and physical design, and tuning and evolution manageme
The issue of missing data imputation has been extensively explored in information engineering in recent years. Marwala's (systems engineering, U. of Witwatersrand, S. Africa) text examines various met
Consisting of 16 chapters in four sections, this third volume in the series focuses on research and applications in data warehousing, covering conceptual modeling and development, OLAP and patterns, s
Technical, legal, social, and philosophical approaches are brought to bear on the tension between the need to collect data and information for disparate operational objectives, and the need to preserv
Enterprise information systems (EIS), such as electronic data interchange, e-commerce, and radio frequency identification, are used to automate business processes and provide access to data from globa
"This book explores the development of intelligent techniques for the information security in the area of biomedical image and signal processing. It emphasizes on data security and content protection
"This book analyzes the interaction between Internet culture and the bureaucratic culture of secrecy. It explores how the collection of data enables the acquisition of a solid body of evidence leads t
"This book examines how consistent and compatible are the usage reports librarians receive from various e-books vendors by analyzing three vendor cases. It focuses on what types of usage data are deli
