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
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
"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 collection introduces higher order neural network (HONN) group models and adaptive HONNs for simulating nonlinear data. The computer science chapters describe adaptive tolerance trees for transla
"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
Outlining recent trends in cybernetics and systems science, contributors in computer science, information technology, and mathematics present expository articles that include a number of open prob
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
Selected readings on the subject of model-driven software are presented in this handbook for engineers, developers and computer science students, with an emphasis placed on how quality assurance techn
"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
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
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
Written for college students, software engineers, corporate executives, IT professionals, and scholars, this handbook of research offers a compendium of terms, definitions, and experiences on technolo
This handbook provides answers to questions on the design of secure multimedia distribution systems. It addresses a variety of issues related to the protection of digital multimedia content, digital r
Online Science Learning: Best Practices and Technologies reviews trends and efforts in Web-based science instruction and evaluates contemporary philosophies and pedagogies of online science instructi
"This handbook investigates a variety of ePortfolio uses through case studies, the technology that supports the case studies, and it also explains the conceptual thinking behind current uses as well a
"This book explores how information literacy skills are used by the library and information science professionals on the job the ability to find, evaluate, use and share information is an essential sk
"This book explores the Massive Open Online Course (MOOC) concept with its potential in library and information science domain. It focuses on exploring how library and information science professional
"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 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
"This book is a comprehensive publication about sociopolitical factors impacting Islamic countries. It aims to be a reference book for the political science and political economy literature since ther
Editors Narasimharao, Wright, Prasad, and Joshi present readers with a collection of research on the contemporary and emerging uses of outreach and science education as tools for regional developme
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
Editors Potocan, Üngan, and Nedelko present readers with a handbook of collected research focused on managerial best practices in the non-profit sector. The twenty-three contributions that make up the
Editors Keengwe and Onchwari present readers with a handbook of research on contemporary and emerging learner-centered pedagogy collected from various academic authors and researchers in the field of
This handbook encompasses all subject matters of relevance in the education and empowerment of information-oriented twenty-first century individuals. It aims to illustrate precisely what is needed for
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
This book offers 21 chapters by international contributors in education, language teaching, computer science, media studies, student affairs, leadership studies, educational studies, and STEM teaching
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
Computer scientists and related researchers survey examples of the increasing application of information science in selling services of all kinds. In sections on basic concepts and theories, intellige
