Visitors to the velvet underground of computing are apt to encounter fuzzy sets, neural networks, genetic algorithms, Bayesian belief networks, rough sets, and other methodologies of uncertainty. Comp
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
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
Editors Saxena, Singh, and Pant present readers with a collection of academic essays and scholarly articles focused on the use of contemporary and emerging optimization techniques as solutions for pro
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
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
The chapters of this volume offer a wide range of areas where the technology of soft computing, fuzzy logic, neural networks, evolutionary computation, and probabilistic reasoning are applied, includi
Sixteen contributions describe the role of pervasive computing in intelligent decision making, online advertising, manufacturing systems, quality control, human resource management, and financial syst
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
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 collection explains cutting-edge handheld computing technologies for mobile commerce, related techniques for wireless networks and security, and new approaches to delivering image and videos to m
Author Hu (computer science, U. of North Dakota) examines the current status of handheld computing and application development, and covers topics such as advanced wireless markup language and J2ME pro
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
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 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
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
This work characterizes the latest research on the use of quality of service (QoS) in grid computing, for academicians, engineers, IT professionals, and researchers in fields such as parallel and dist
This book presents leading examples of radio frequency identification (RFID) research being developed for part identification and health systems, and examines the data convergence required for the tec
The latest generations and classes of context-aware mobile applications are reviewed in this collection of research articles aimed at practitioners and students in the fields of artificial intelligenc
Massive amounts of textual data make up most organizations' stored information. Therefore, there is increasingly high demand for a comprehensive resource providing practical hands-on knowledge for rea
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 reveals conceptual and algorithmic perspectives on research issues, findings, and approaches to mobile and wireless peer-to-peer (P2P) computing. Chapters are in sections on information retr
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
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
Contributed by computer scientists and engineers from Asia, the US, and Iran, the 18 chapters in this volume examine image and video processing in different applications using intelligent computing te
Computer scientists, electrical engineers, and other researchers from India and Iran present 12 essays on the use of bio-inspired computing for information retrieval applications. They discuss the
Nineteen articles from academics in computing and telecommunications showcase current scholarship in the use of open source mobile computing technologies for distance and distributed educational proje
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
The 13 chapters in the collection describe computational techniques inspired in part by nature and natural systems to represent and organize information from business, science, computing, and engineer
For academics, researchers, practitioners, and students, this volume details pattern-recognition techniques and applications. Verma (computing sciences, Central Queensland U., Australia) and Blumenste
Computer scientists provide a bridge between cloud computing and big data analytics in terms of systems, processing, and applications. Their topics include cloud-based platforms and infrastructures
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
Noting that social network analysis falls within the realm of big data computing, computer and information scientists synthesize recent research in using graph theory for analyzing large-scale soc
