A big amount of important, 'economically relevant' information, is buried within the huge mass of multimedia documents that correspond to some form of 'narrative' description.
This book draws together experts from the multimedia, the knowledge and the integrated multimedia-knowledge domains to explore how knowledge technologies can be exploited to create new multimedia applications, and how multimedia technologies can provide new contexts for the use of knowledge technologies.
Information technology has been used in organisational settings and for organisational purposes such as accounting, for a half century, but IT is now increasingly being used for the purposes of mediating and regulating complex activities in which multiple professional users are involved, such as in factories, hospitals, architectural offices, and so on.
As we enter the third decade of the World Wide Web (WWW), the textual revolution has seen a tremendous change in the availability of online information.
This volume was born from the experience of the authors as researchers and educators,whichsuggeststhatmanystudentsofdataminingarehandicapped in their research by the lack of a formal, systematic education in its mat- matics.
Interval computing combined with fuzzy logic has become an emerging tool in studying artificial intelligence and knowledge processing (AIKP) applications since it models uncertainties frequently raised in the field.
II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations.
This tightly-edited collection of papers from leading researchers worldwide provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research.
Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas.
The topic this book addresses originated from a panel discussion at the 2004 ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining) Conference held in Seattle, Washington, USA.
This book contains the proceedings of the Second European Conference on Computer Network Defence to take place in December 2006 at the School of Computing, University of Glamorgan, in the UK, and the Workshop preceding it.
Although the Web is growing at an astounding pace, surpassing the 8 billion page mark, most pages are still designed for human consumption and cannot be processed by machines.
In the second edition of this very successful book, Tony Sammes and Brian Jenkinson show how information held in computer systems can be recovered and how it may be deliberately hidden or subverted for criminal purposes.
This book includes selected papers presented at the International Conference on Marketing and Technologies (ICMarkTech 2023), held at Faculty of Economics and Management (FEM), Czech University of Life Sciences Prague (CZU), in partnership with University College Prague (UCP), in Prague, Czech Republic, between 30 November and 2 December 2023.
Information visualization is not only about creating graphical displays of complex and latent information structures; it contributes to a broader range of cognitive, social, and collaborative activities.
The 15th International Workshop on Conceptual Structures ICCS 2007 brings together numerous discussions between international groups of researchers from the field of Information and Communications Technology (ICT).
This book contains the First European Conference on Computer Network Defence to take place in December 2005 at the School of Computing, University of Glamorgan, in the UK.
Space support in databases poses new challenges in every part of a database management system & the capability of spatial support in the physical layer is considered very important.
The growth in the amount of data collected and generated has exploded in recent times with the widespread automation of various day-to-day activities, advances in high-level scienti?
Thisiswherewetrytoconvinceyoutobuythisbook,tellyouwhatittriestodo, define a few terms and generally set the scene - all of which makes this more like an introduction than a first chapter, but no-one reads introductions so we called it a chapter.
Mobile crowdsensing is a new sensing paradigm that utilizes the intelligence of a crowd of individuals to collect data for mobile purposes by using their portable devices, such as smartphones and wearable devices.
Convolutional Neural Networks for Medical Applications consists of research investigated by the author, containing state-of-the-art knowledge, authored by Dr Teoh Teik Toe, in applying Convolutional Neural Networks (CNNs) to the medical imagery domain.
The book aims to present a multi-dimensional view on the blockchain-driven supply chain management and its linkage with open innovation, digital technologies, supply chain sustainability, mapping, visibility, and resilience.
In the ever-evolving landscape of digital marketing, influencer marketing has emerged as a game-changer, captivating audiences and driving brand engagement like never before.
This book constitutes revised papers from the International Workshops held at the 22nd International Conference on Business Process Management, BPM 2024, in Krakow, Poland, during September 2024.
This six-volume set, LNAI 15387-15392, constitutes the refereed proceedings of the 20th International Conference on Advanced Data Mining and Applications, ADMA 2024, held in Sydney, New South Wales, Australia, during December 3-5, 2024.
Precision measurements of the Higgs boson's properties are a powerful tool to look for deviations from the predictions of the Standard Model (SM) of particle physics.
The authors of this book assert that Grid Square statistics, a method of aggregating data within a geographically defined Grid, may be an effective solution to approach geospatial data for big data integration.
In this book, we explain the development of a new filtering method to estimate the hidden states of random variables for multiple non-stationary time series data.
This book constitutes the proceedings of the 36th International Conference on Advanced Information Systems Engineering, CAiSE 2024, which was held in Limassol, Cyprus, during June 3-7, 2024.
This book constitutes the proceedings of the 12th International Conference on Big Data and Artificial Intelligence, BDA 2024, held in Hyderabad, India, during December 17-20, 2024.
