TRACK 1: Innovative Applications in the Public Sector The integration of multimedia based applications and the information superhighway fundamentally concerns the creation of a communication technology to support the ac- tivities of people.
The number of new applications in need of database support is exploding and there is an increasing need to link and access database systems supporting these new applications via computer networks.
Many organisations are using an increased range of information technologies to support a variety of new organisational practices and organisational forms.
Semantic Issues in e-Commerce Systems comprises the proceedings of the Ninth Working Conference on Database Semantics, which was sponsored by the International Federation for Information Processing (IFIP) and held in Hong Kong in April 2001.
Research Directions in Data and Applications Security describes original research results and innovative practical developments, all focused on maintaining security and privacy in database systems and applications that pervade cyberspace.
Signal Processing Methods for Music Transcription is the first book dedicated to uniting research related to signal processing algorithms and models for various aspects of music transcription such as pitch analysis, rhythm analysis, percussion transcription, source separation, instrument recognition, and music structure analysis.
Several works on multimedia storage appear in literature today, but very little if any, have been devoted to handling long duration video retrieval, over large scale networks.
Hyperspectral Data Compression provides a survey of recent results in the field of compression of remote sensed 3D data, with a particular interest in hyperspectral imagery.
The concept of content delivery (also known as content distribution) is be- coming increasingly important due to rapidly growing demands for efficient distribution and fast access of information in the Internet.
Modern applications are both data and computationally intensive and require the storage and manipulation of voluminous traditional (alphanumeric) and nontraditional data sets (images, text, geometric objects, time-series).
Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.
Data Mining and Knowledge Discovery Handbook organizes all major concepts, theories, methodologies, trends, challenges and applications of data mining (DM) and knowledge discovery in databases (KDD) into a coherent and unified repository.
Coding is a highly integral component of viable and efficient computer and data communications, yet the often heavy mathematics that form the basis of coding may prevent a serious and practical understanding of this important area.
Existence of huge amounts of data on the Web has developed an undeferring need to locate right information at right time, as well as to integrating information effectively to provide a comprehensive source of relevant information.
Introduction The International Federation for Information Processing (IFIP) is a non-profit umbrella organization for national societies working in the field of information processing.
Managing and Mining Uncertain Data, a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a structured and concise way.
Recent years have seen a dramatic growth of natural language text data, including web pages, news articles, scientific literature, emails, enterprise documents, and social media such as blog articles, forum posts, product reviews, and tweets.
Enhance your skills in building scalable infrastructure for your cloud-based applicationsKey FeaturesLearn to design a scalable architecture by building continuous integration (CI) pipelines with KubernetesGet an in-depth understanding of role-based access control (RBAC), continuous deployment (CD), and observabilityMonitor a Kubernetes cluster with Prometheus and GrafanaBook DescriptionKubernetes is among the most popular open-source platforms for automating the deployment, scaling, and operations of application containers across clusters of hosts, providing a container-centric infrastructure.
Discover the unified, distributed storage system and improve the performance of applications Key FeaturesExplore the latest features of Ceph's Mimic releaseGet to grips with advanced disaster and recovery practices for your storageHarness the power of Reliable Autonomic Distributed Object Store (RADOS) to help you optimize storage systemsBook DescriptionCeph is an open source distributed storage system that is scalable to Exabyte deployments.
Over 60 recipes to achieve a robust and advanced backup and recovery solution leveraging SCDPMKey FeaturesAdapt to the modern data center design challenges and improve storage efficiencyEffective recipes to help you create your own robust architectural designs Solve data protection and recovery problems in your organizationBook DescriptionSystem Center Data Protection Manager (SCDPM) is a robust enterprise backup and recovery system that contributes to your BCDR strategy by facilitating the backup and recovery of enterprise data.
This invaluable guide addresses the Why, What, and How of enterprise cloud adoption, leveraging a clear framework and proven best practices from Microsoft's own experience.
This fully revised and updated edition of the bestselling Chief Data Officer's Playbook offers new insights into the role of the CDO and the data environment.
This fully revised and updated edition of the bestselling Chief Data Officer's Playbook offers new insights into the role of the CDO and the data environment.
Published in association with the Society of American Archivists Trusting Records in the Cloud presents key findings of InterPARES Trust, an international research project that has investigated issues of trust in, and trustworthiness of records and data online, with respect to privacy, accessibility, portability, metadata and ownership.
Social tagging (including hashtags) is used over platforms such as Twitter, Facebook, Instagram, Pinterest, WordPress, Tumblr and YouTube across countries and cultures meaning that one single hashtag can link information from a variety of resources.