Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Temporal Data Mining via Unsupervised Ensemble Learning provides the principle knowledge of temporal data mining in association with unsupervised ensemble learning and the fundamental problems of temporal data clustering from different perspectives. By providing three proposed ensemble approaches of temporal data clustering, this book presents a practical focus of fundamental knowledge and techniques, along with a rich blend of theory and practice. Furthermore, the book includes illustrations of the proposed approaches based on data and simulation experiments to demonstrate all methodologies, and is a guide to the proper usage of these methods. As there is nothing universal that can solve all problems, it is important to understand the characteristics of both clustering algorithms and the target temporal data so the correct approach can be selected for a given clustering problem. Scientists, researchers, and data analysts working with machine learning and data mining will benefit from this innovative book, as will undergraduate and graduate students following courses in computer science, engineering, and statistics. Includes fundamental concepts and knowledge, covering all key tasks and techniques of temporal data mining, i.e., temporal data representations, similarity measure, and mining tasks Concentrates on temporal data clustering tasks from different perspectives, including major algorithms from clustering algorithms and ensemble learning approaches Presents a rich blend of theory and practice, addressing seminal research ideas and looking at the technology from a practical point-of-view

Data mining. --- Temporal databases. --- Temporal data bases --- Databases --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Cloud computing can provide virtually unlimited scalable high performance computing resources. Cloud workflows often underlie many large scale data/computation intensive e-science applications such as earthquake modelling, weather forecasting and astrophysics. During application modelling, these sophisticated processes are redesigned as cloud workflows, and at runtime, the models are executed by employing the supercomputing and data sharing ability of the underlying cloud computing infrastructures. Temporal QOS Management in Scientific Cloud Workflow Systems focuses on real w

Organization theory --- Personnel management --- Cloud computing. --- Quality control. --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Electronic data processing --- Web services --- Distributed processing --- Information Technology --- General and Others

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing

Cloud computing. --- Big data. --- Data sets, Large --- Large data sets --- Data sets --- Electronic data processing --- Web services --- Distributed processing

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The new multimedia standards (for example, MPEG-21) facilitate the seamless integration of multiple modalities into interoperable multimedia frameworks, transforming the way people work and interact with multimedia data. These key technologies and multimedia solutions interact and collaborate with each other in increasingly effective ways, contributing to the multimedia revolution and having a significant impact across a wide spectrum of consumer, business, healthcare, education, and governmental domains. This book aims to provide a complete coverage of the areas outlined and to bring together the researchers from academic and industry as well as practitioners to share ideas, challenges, and solutions relating to the multifaceted aspects of this field.

Engineering. --- Electronics and Microelectronics, Instrumentation. --- Image Processing and Computer Vision. --- Data Structures, Cryptology and Information Theory. --- Data structures (Computer science). --- Computer vision. --- Electronics. --- Ingénierie --- Structures de données (Informatique) --- Vision par ordinateur --- Electronique --- Data structures (Computer scienc. --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Information technology. --- IT (Information technology) --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Electrical engineering --- Physical sciences --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Data Structures and Information Theory. --- Microelectronics. --- Optical data processing. --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- Electronic data processing --- File organization (Computer science) --- Abstract data types (Computer science) --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Optical equipment

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book constitutes the thoroughly refereed post-conference proceedings of the 11th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2007, held in Melbourne, Australia, in April 2007. This book, as the fourth volume of its series on Computer-Supported Cooperative Work in Design, includes 60 articles that are the expanded versions of the papers presented at CSCWD 2007. The book is organized in topical sections on CSCW techniques and methods, collaborative design, collaborative manufacturing and enterprise collaboration, agents and multi-agent systems, Web services, Semantic Web, and Grid computing, knowledge management, security, privacy, and trust in CSCW systems, workflow management, e-learning, and other applications.

Programming --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- informatica --- informatiesystemen --- software engineering --- KI (kunstmatige intelligentie) --- OS (operating system) --- computernetwerken --- CAD (computer aided design)