Intelligent Collaborative E Learning Systems And Applications
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Intelligent Collaborative E Learning Systems And Applications
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Author : Thanasis Daradoumis
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-28
Intelligent Collaborative E Learning Systems And Applications written by Thanasis Daradoumis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-28 with Mathematics categories.
Intelligent Collaborative e-Learning Systems and Applications is a major research theme in CSCL and CSCW research community. It comprises a variety of research topics that focus on developing systems that are more powerful and flexible and also more adaptable to the learning process and thus provide better answers to the paradigmatic principles of on-line collaborative learning and work. The chapters collected in this book provide new insights, findings and approaches both on the analysis and the development of more powerful e-collaboration settings. Researchers will find in this book the latest trends in these research topics. On the other hand, academics will find practical insights on how to use conceptual and experimental approaches in their daily tasks. Finally, developers from CSCL community can be inspired and put in practice the proposed models and evaluate them for the specific purposes of their own work and context.
Intelligent Collaborative E Learning Systems And Applications
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Author : Thanasis Daradoumis
language : en
Publisher: Springer
Release Date : 2009-10-01
Intelligent Collaborative E Learning Systems And Applications written by Thanasis Daradoumis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-01 with Technology & Engineering categories.
Intelligent Collaborative e-Learning Systems and Applications is a major research theme in CSCL and CSCW research community. It comprises a variety of research topics that focus on developing systems that are more powerful and flexible and also more adaptable to the learning process and thus provide better answers to the paradigmatic principles of on-line collaborative learning and work. The chapters collected in this book provide new insights, findings and approaches both on the analysis and the development of more powerful e-collaboration settings. Researchers will find in this book the latest trends in these research topics. On the other hand, academics will find practical insights on how to use conceptual and experimental approaches in their daily tasks. Finally, developers from CSCL community can be inspired and put in practice the proposed models and evaluate them for the specific purposes of their own work and context.
Inductive Inference For Large Scale Text Classification
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Author : Catarina Silva
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-11-13
Inductive Inference For Large Scale Text Classification written by Catarina Silva and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-13 with Mathematics categories.
Text classification is becoming a crucial task to analysts in different areas. In the last few decades, the production of textual documents in digital form has increased exponentially. Their applications range from web pages to scientific documents, including emails, news and books. Despite the widespread use of digital texts, handling them is inherently difficult - the large amount of data necessary to represent them and the subjectivity of classification complicate matters. This book gives a concise view on how to use kernel approaches for inductive inference in large scale text classification; it presents a series of new techniques to enhance, scale and distribute text classification tasks. It is not intended to be a comprehensive survey of the state-of-the-art of the whole field of text classification. Its purpose is less ambitious and more practical: to explain and illustrate some of the important methods used in this field, in particular kernel approaches and techniques.
The Plugged In Professor
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Author : Sharmila Ferris
language : en
Publisher: Elsevier
Release Date : 2013-05-15
The Plugged In Professor written by Sharmila Ferris and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-15 with Computers categories.
New technologies are transforming the way students work. The Plugged in Professor provides a timely and exceptional resource for using social media and other new technologies to help college students meet both general and discipline-specific objectives. The title covers techniques built around well-known social networking technologies, as well as other emerging technologies such as mobile phone and tablet apps. With a practical focus and reader-friendly format, this book shows educators how to apply techniques in each technology, and includes clear student learning objectives, step-by-step directions, observations and advice, and supplemental readings and resources. Twenty-five chapters by leading contributors cover key aspects of new technologies in education, in four parts: Writing, research and information fluency; Communication and collaboration; Critical thinking and creativity; and Integrative learning. - Provides a cutting-edge resource for academics and practitioners in effective ways of reaching today's students through the use of their favourite tool, social media - Outlines a range of strategies taking advantage of the unique learning styles and habits of net generation learners - Exposes students to ways in which these technologies can be used in their professional and personal lives
Innovations In Swarm Intelligence
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Author : Chee Peng Lim
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-28
Innovations In Swarm Intelligence written by Chee Peng Lim and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-28 with Mathematics categories.
Over the past two decades, swarm intelligence has emerged as a powerful approach to solving optimization as well as other complex problems. Swarm intelligence models are inspired by social behaviours of simple agents interacting among themselves as well as with the environment, e.g., flocking of birds, schooling of fish, foraging of bees and ants. The collective behaviours that emerge out of the interactions at the colony level are useful in achieving complex goals. The main aim of this research book is to present a sample of recent innovations and advances in techniques and applications of swarm intelligence. Among the topics covered in this book include: particle swarm optimization and hybrid methods, ant colony optimization and hybrid methods, bee colony optimization, glowworm swarm optimization, and complex social swarms, application of various swarm intelligence models to operational planning of energy plants, modeling and control of nanorobots, classification of documents, identification of disease biomarkers, and prediction of gene signals. The book is directed to researchers, practicing professionals, and undergraduate as well as graduate students of all disciplines who are interested in enhancing their knowledge in techniques and applications of swarm intelligence.
Non Standard Parameter Adaptation For Exploratory Data Analysis
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Author : Wesam Ashour Barbakh
language : en
Publisher: Springer
Release Date : 2009-09-30
Non Standard Parameter Adaptation For Exploratory Data Analysis written by Wesam Ashour Barbakh and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-30 with Computers categories.
Exploratory data analysis, also known as data mining or knowledge discovery from databases, is typically based on the optimisation of a specific function of a dataset. Such optimisation is often performed with gradient descent or variations thereof. In this book, we first lay the groundwork by reviewing some standard clustering algorithms and projection algorithms before presenting various non-standard criteria for clustering. The family of algorithms developed are shown to perform better than the standard clustering algorithms on a variety of datasets. We then consider extensions of the basic mappings which maintain some topology of the original data space. Finally we show how reinforcement learning can be used as a clustering mechanism before turning to projection methods. We show that several varieties of reinforcement learning may also be used to define optimal projections for example for principal component analysis, exploratory projection pursuit and canonical correlation analysis. The new method of cross entropy adaptation is then introduced and used as a means of optimising projections. Finally an artificial immune system is used to create optimal projections and combinations of these three methods are shown to outperform the individual methods of optimisation.
Natural Intelligence For Scheduling Planning And Packing Problems
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Author : Raymond Chiong
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-09-30
Natural Intelligence For Scheduling Planning And Packing Problems written by Raymond Chiong and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-09-30 with Computers categories.
Scheduling, planning and packing are ubiquitous problems that can be found in a wide range of real-world settings. These problems transpire in a large variety of forms, and have enormous socio-economic impact. For many years, significant work has been devoted to automating the processes of scheduling, planning and packing using different kinds of methods. However, poor scaling and the lack of flexibility of many of the conventional methods coupled with the fact that most of the real-world problems across the application areas of scheduling, planning and packing nowadays tend to be of large scale, dynamic and full of complex dependencies have made it necessary to tackle them in unconventional ways. This volume, "Natural Intelligence for Scheduling, Planning and Packing Problems", is a collection of numerous natural intelligence based approaches for solving various kinds of scheduling, planning and packing problems. It comprises 12 chapters which present many methods that draw inspiration from nature, such as evolutionary algorithms, neural-fuzzy system, particle swarm algorithms, ant colony optimisation, extremal optimisation, raindrop optimisation, and so on. Problems addressed by these chapters include freight transportation, job shop scheduling, flowshop scheduling, electrical load forecasting, vehicle routing, two-dimensional strip packing, network configuration and forest planning, among others. Along with solving these problems, the contributing authors present a lively discussion of the various aspects of the nature-inspired algorithms utilised, providing very useful and important new insights into the research areas.
New Trends In Software Methodologies Tools And Techniques
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Author : A. Selamat
language : en
Publisher: IOS Press
Release Date : 2014-08-29
New Trends In Software Methodologies Tools And Techniques written by A. Selamat and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-29 with Computers categories.
Software is the essential enabling means for science and the new economy. It helps us to create a more reliable, flexible and robust society. But software often falls short of our expectations. Current methodologies, tools, and techniques remain expensive and are not yet sufficiently reliable, while many promising approaches have proved to be no more than case-by-case oriented methods. This book contains extensively reviewed papers from the thirteenth International Conference on New Trends in software Methodology, Tools and Techniques (SoMeT_14), held in Langkawi, Malaysia, in September 2014. The conference provides an opportunity for scholars from the international research community to discuss and share research experiences of new software methodologies and techniques, and the contributions presented here address issues ranging from research practices and techniques and methodologies to proposing and reporting solutions for global world business. The emphasis has been on human-centric software methodologies, end-user development techniques and emotional reasoning, for an optimally harmonized performance between the design tool and the user. Topics covered include the handling of cognitive issues in software development to adapt it to the user's mental state and intelligent software design in software utilizing new aspects on conceptual ontology and semantics reflected on knowledge base system models. This book provides an opportunity for the software science community to show where we are today and where the future may take us.
Computational Intelligence For Technology Enhanced Learning
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Author : Fatos Xhafa
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-02-18
Computational Intelligence For Technology Enhanced Learning written by Fatos Xhafa and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-18 with Mathematics categories.
E-Learning has become one of the most wide spread ways of distance teaching and learning. Technologies such as Web, Grid, and Mobile and Wireless networks are pushing teaching and learning communities to find new and intelligent ways of using these technologies to enhance teaching and learning activities. Indeed, these new technologies can play an important role in increasing the support to teachers and learners, to shorten the time to learning and teaching; yet, it is necessary to use intelligent techniques to take advantage of these new technologies to achieve the desired support to teachers and learners and enhance learners’ performance in distributed learning environments. The chapters of this volume bring advances in using intelligent techniques for technology enhanced learning as well as development of e-Learning applications based on such techniques and supported by technology. Such intelligent techniques include clustering and classification for personalization of learning, intelligent context-aware techniques, adaptive learning, data mining techniques and ontologies in e-Learning systems, among others. Academics, scientists, software developers, teachers and tutors and students interested in e-Learning will find this book useful for their academic, research and practice activity.
Advanced Methods For Complex Network Analysis
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Author : Meghanathan, Natarajan
language : en
Publisher: IGI Global
Release Date : 2016-04-07
Advanced Methods For Complex Network Analysis written by Meghanathan, Natarajan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-07 with Computers categories.
As network science and technology continues to gain popularity, it becomes imperative to develop procedures to examine emergent network domains, as well as classical networks, to help ensure their overall optimization. Advanced Methods for Complex Network Analysis features the latest research on the algorithms and analysis measures being employed in the field of network science. Highlighting the application of graph models, advanced computation, and analytical procedures, this publication is a pivotal resource for students, faculty, industry practitioners, and business professionals interested in theoretical concepts and current developments in network domains.