This book describes comprehensive and fundamental aspects of object-oriented data modeling and implementation in Oracle. It covers the implementation of structural aspects of an object model, includin
Data warehousing is an important topic that is of interest to both the industry and the knowledge engineering research communities. Both data mining and data warehousing technologies have similar obje
"This book discusses the exponential growth of information size and the innovative methods for data capture, storage, sharing, and analysis for big data"--
With the purpose of building upon standard web technologies, open linked data serves as a useful way to connect previously unrelated data and to publish structured data on the web. The application of
"This book covers research topics of data mining on bioinformatics presenting the basics and problems of bioinformatics and applications of data mining technologies pertaining to the field"--Provided
The era of rapidly progressing technology we live in generates vast amounts of data; however, the challenge exists in understanding how to aggressively monitor and make sense of this data. Without a b
"This book investigates the incorporation of data mining into business technologies used in the decision making process, emphasizing cutting-edge research and relevant concepts in data discovery and a
"This book concentrates on one particular and fast-growing application of mobile technologies: data acquisition for the tourism industry, providing travel agents, visitors, and hosts with the most adv
"This book highlights contemporary findings in the area of biologically-inspired techniques in data mining domains and their implementation in real-life problems"--
"This book explores current research in data mining, including the important trends and patterns and their impact in fields such as software engineering, and focuses on modern techniques as well as pa
"This book highlights the advantages of using data envelopment analysis as a tool to improve business performances and identifying the source of inefficiency in public and private organizations"--Prov
"This book highlights entirely new and detailed spatial-temporal micro-simulation methodologies for human mobility and the emerging dynamics of our society, offering novel ideas grounded in big data f
"This book evaluates the latest trends and developments in force-based data visualization techniques, addressing issues in the design, development, evaluation, and application of algorithms and networ
"This book brings together research on the latest trends and patterns of data mining tools and techniques in dynamic social networks and fuzzy systems"--Provided by publisher.
"This book provides an overview of data mining techniques under an ethical lens, investigating developments in research best practices and examining experimental cases to identify potential ethical di
"This book provides an overview of the current and potential approaches towards data storage services and its relationship to cloud environments, bringing together research on storage technologies in
With a variety of media types, multimedia data engineering has emerged as a new opportunity to create techniques and tools that empower the development of the next generation of multimedia databases a
"This book is an essential collection of research on the area of data mining and analytics, presenting the most recent perspectives on data mining subjects and current issues"--Provided by publisher.
The original purpose of hiding data in electronic media was to identify authors, distributors, and other legitimate parties as part of combating piracy. Recently, however, meta data is also being hidd
"This book highlights comprehensive research that will enable readers to understand, manage, use, and maintain business data communication networks more effectively"--Provided by publisher.
Computer, electrical, and telecommunications engineers along with physicists, mathematicians, and other contributors approach intelligent data analysis from a practical perspective, focusing on solvin
International contributors in computer science, management, and information systems detail the latest perspectives on data mining and analytics. A preface reviews data mining techniques for spatio-tem
"This book contains case studies, theories, and empirical research aimed to assist individuals and organizations in understanding the critical concepts of data networking and communications"--Provided
Thomas (Rolls-Royce) examines the factors influencing the potential adoption of product data exchange and IT standards across target populations. An innovation-centric case study focuses on the adopti
Data mining applications are becoming a more common part of corporate intelligence systems, and this textbook shows how these techniques are used to preserve historical data as well as predict future
Computer scientists mostly from South America, Europe, and Australia explain how to enhance the process of finding meaningful patterns in large bodies of data by defining prior knowledge about what th
This book is ideal for graduates and undergraduates, as well as researchers working in either video data management or information retrieval. Video Data Management and Information Retrieval takes an i
Successfully competing in the new global economy requires immediate decision capability. This immediate decision capability requires quick analysis of both timely and relevant data. To support this an
Every second, users produce large amounts of image data from medical and satellite imaging systems. Image mining techniques that are capable of extracting useful information from image data are becomi
Research and development surrounding the use of data queries is receiving increased attention from computer scientists and data specialists alike. Through the use of query technology, large volumes of
"This book cuts through the haze of glitz and pomp surrounding big data and offers a simple, straightforward reference-source of practical academic utility by covering such topics as cloud computing,
As more and more of our data is stored remotely, accessing that data wherever and whenever it is needed is a critical concern. More concerning is managing the databanks and storage space necessary to
Data collection allows today’s businesses to cater to each customer’s individual needs and provides a necessary edge in a competitive market. However, any breach in confidentiality can cause serious c
This collection consists of 24 articles on how organizations can use big data analytics to make decisions. Researchers working in business, management, engineering, and other fields in North America,
"This book presents empirical research and acquired experience on the original solutions and mathematical algorithms for motion detection and object identification problems, emphasizing a wide variety
The 18 papers in this collection explore machine learning techniques for extracting information from large amounts of data with several variables. Six papers from Spanish universities review Bayesian
Contributors from the three fields--biology, computers, and art--explore how people look at nature and its organic forms, then use computers to transform them into art. They cover visual data formatio
Bose (University of Hong Kong) gathers contributors from12 countries to offer expert viewpoints on key issues in the field of network and data communications. Some areas discussed include empirical pr
This textbook on statistical techniques for network security reflect the current emphasis on data mining and modeling, as well as data reduction methods for network traffic. Wang (biostatistics, Yale
The 15 papers in this collection present a Java simulator for optical burst switched networks, a relay race methodology for life cycle models, an intelligent simulation framework for integrated produc
