Modeling Intention In Email
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Modeling Intention In Email
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Author : Vitor R. Carvalho
language : en
Publisher: Springer
Release Date : 2011-03-29
Modeling Intention In Email written by Vitor R. Carvalho and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-29 with Computers categories.
Everyday more than half of American adult internet users read or write email messages at least once. The prevalence of email has significantly impacted the working world, functioning as a great asset on many levels, yet at times, a costly liability. In an effort to improve various aspects of work-related communication, this work applies sophisticated machine learning techniques to a large body of email data. Several effective models are proposed that can aid with the prioritization of incoming messages, help with coordination of shared tasks, improve tracking of deadlines, and prevent disastrous information leaks. Carvalho presents many data-driven techniques that can positively impact work-related email communication and offers robust models that may be successfully applied to future machine learning tasks.
Modeling Intention In Email
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Author : Vitor R. Carvalho
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-11-06
Modeling Intention In Email written by Vitor R. Carvalho 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 2011-11-06 with Computers categories.
Everyday more than half of American adult internet users read or write email messages at least once. The prevalence of email has significantly impacted the working world, functioning as a great asset on many levels, yet at times, a costly liability. In an effort to improve various aspects of work-related communication, this work applies sophisticated machine learning techniques to a large body of email data. Several effective models are proposed that can aid with the prioritization of incoming messages, help with coordination of shared tasks, improve tracking of deadlines, and prevent disastrous information leaks. Carvalho presents many data-driven techniques that can positively impact work-related email communication and offers robust models that may be successfully applied to future machine learning tasks.
From Social Data Mining And Analysis To Prediction And Community Detection
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Author : Mehmet Kaya
language : en
Publisher: Springer
Release Date : 2017-03-21
From Social Data Mining And Analysis To Prediction And Community Detection written by Mehmet Kaya and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-21 with Computers categories.
This book presents the state-of-the-art in various aspects of analysis and mining of online social networks. Within the broader context of online social networks, it focuses on important and upcoming topics of social network analysis and mining such as the latest in sentiment trends research and a variety of techniques for community detection and analysis. The book collects chapters that are expanded versions of the best papers presented at the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM’2015), which was held in Paris, France in August 2015. All papers have been peer reviewed and checked carefully for overlap with the literature. The book will appeal to students and researchers in social network analysis/mining and machine learning.
User Modeling Adaptation And Personalization
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Author : Geert-Jan Houben
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-06-08
User Modeling Adaptation And Personalization written by Geert-Jan Houben 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 2009-06-08 with Computers categories.
This book constitutes the proceedings of the First International Conference on User Modeling, Adaptation, and Personalization, held in Trento, Italy, on June 22-26, 2009. This annual conference was merged from the biennial conference series User Modeling, UM, and the conference on Adaptive Hypermedia and Adaptive Web-Based Systems, AH. The 53 papers presented together with 3 invited talks were carefully reviewed and selected from 125 submissions. The tutorials and workshops were organized in topical sections on constraint-based tutoring systems; new paradigms for adaptive interaction; adaption and personalization for Web 2.0; lifelong user modelling; personalization in mobile and pervasive computing; ubiquitous user modeling; user-centred design and evaluation of adaptive systems.
Enterprise Business Process And Information Systems Modeling
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Author : Renata Guizzardi
language : en
Publisher: Springer Nature
Release Date : 2025-06-13
Enterprise Business Process And Information Systems Modeling written by Renata Guizzardi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-13 with Computers categories.
This book constitutes the refereed proceedings of two long-running events held along with the CAiSE conference and related to the areas of enterprise, business-process and information systems modeling: - the 26th International Conference on Business Process Modeling, Development and Support, BPMDS 2025 and - the 30th International Conference on Exploring Modeling Methods for Systems Analysis and Development, EMMSAD 2025. The conferences were taking place in Vienna, Austria, during June 16–17, 2025. For BPMDS 12 full papers were carefully reviewed and selected for publication from a total of 39 submissions. The BPMDS papers deal with a broad range of theoretical and applications-based research in business process modeling, development and support. For EMMSAD 13 full papers and 3 short papers were accepted from a total of 37 submissions after thorough reviews. EMMSAD focusses on modeling methods for systems analysis and development.
Technology Enhanced Systems And Tools For Collaborative Learning Scaffolding
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Author : Thanasis Daradoumis
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-06-07
Technology Enhanced Systems And Tools For Collaborative Learning Scaffolding 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 2012-06-07 with Computers categories.
Technology-Enhanced Systems and Tools for Collaborative Learning Scaffolding is a major research theme in CSCL and CSCW research community. This book presents up-to-date research approaches for developing technology-enhanced systems and tools to support functional online collaborative learning and work settings. It comprises a variety of research topics that span from the study of frameworks and infrastructures that foster collaborative learning and work through the application of different methods (distributed e-learning repositories, content creation and customization, social networks, collaborative ontologies building, and educational games) to the use of personalization and adaptation techniques to support the development of more powerful e-collaboration settings, including methodologies and tools for analyzing students' interactions with the aim to increase students' collaborative behaviors, performance and group organization. Researchers will find in this book the latest trends in these research topics, which gives them the opportunity to deepen further on the above issues and to extend their knowledge to other areas. Academics will find practical insights on how to use conceptual and experimental approaches in their daily tasks. 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.
Modeling Intention In Email
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Author : Vitor R. Carvalho
language : en
Publisher:
Release Date : 2008
Modeling Intention In Email written by Vitor R. Carvalho and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Electronic mail systems categories.
Abstract: "Email management has a fundamental role in modern work productivity. In this thesis we present evidence that email management can be potentially improved by the effective use of machine learning techniques to model different aspects of user intention. We initially propose a taxonomy of user intentions in terms of Speech Acts applied to email communication, or 'email acts,' and show that email act classification can be largely automated, potentially leading to better email prioritization and management. We then describe how machine learning can be used to reduce the chances of costly email addressing errors. One type of costly error is an 'email leaks,' i.e., mistakenly sending a message to an unintended recipient -- a widespread problem that can severely harm individuals and corporations. Another type of addressing error is forgetting to add an intended collaborator as recipient, a likely source of costly misunderstandings and communication delays that can be potentially addressed with intelligent recipient recommendation. We propose several different approaches to address these problems, and show very positive experimental results in a large email collection. In addition, we describe a 4-week long user study based on the implementation of some of the proposed models in a popular email client (Mozilla Thunderbird). More than 15% of the human subjects reported that it prevented real email leaks, and more than 47% of them utilized recipient recommendations. Overall the study shows that recipient recommendation and email leak detection can be valuable additions to real email clients, with more than 80% of the subjects reporting that they would permanently use these models if a few interface/optimization changes were implemented. Finally, we introduce a new robust rank learning algorithm to further improved recipient recommendation predictions. The algorithm is essentially a non-convex optimization procedure over a sigmoidal loss function, in which any linear baseline ranking model can be used as starting point. This new learning method provides substantial rank performance improvements on recipient recommendation tasks, outperforming all previously introduced models, including well-known state-of-the-art ranking algorithms."
Emotional Cognitive Neural Algorithms With Engineering Applications
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Author : Leonid Perlovsky
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-08-20
Emotional Cognitive Neural Algorithms With Engineering Applications written by Leonid Perlovsky 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 2011-08-20 with Computers categories.
Dynamic logic (DL) recently had a highest impact on the development in several areas of modeling and algorithm design. The book discusses classical algorithms used for 30 to 50 years (where improvements are often measured by signal-to-clutter ratio), and also new areas, which did not previously exist. These achievements were recognized by National and International awards. Emerging areas include cognitive, emotional, intelligent systems, data mining, modeling of the mind, higher cognitive functions, evolution of languages and other. Classical areas include detection, recognition, tracking, fusion, prediction, inverse scattering, and financial prediction. All these classical areas are extended to using mixture models, which previously was considered unsolvable in most cases. Recent neuroimaging experiments proved that the brain-mind actually uses DL. „Emotional Cognitive Neural Algorithms with Engineering Applications“ is written for professional scientists and engineers developing computer and information systems, for professors teaching modeling and algorithms, and for students working on Masters and Ph.D. degrees in these areas. The book will be of interest to psychologists and neuroscientists interested in mathematical models of the brain and min das well.
Next Generation Data Technologies For Collective Computational Intelligence
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Author : Nik Bessis
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-04-28
Next Generation Data Technologies For Collective Computational Intelligence written by Nik Bessis 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 2011-04-28 with Computers categories.
This book focuses on next generation data technologies in support of collective and computational intelligence. The book brings various next generation data technologies together to capture, integrate, analyze, mine, annotate and visualize distributed data – made available from various community users – in a meaningful and collaborative for the organization manner. A unique perspective on collective computational intelligence is offered by embracing both theory and strategies fundamentals such as data clustering, graph partitioning, collaborative decision making, self-adaptive ant colony, swarm and evolutionary agents. It also covers emerging and next generation technologies in support of collective computational intelligence such as Web 2.0 social networks, semantic web for data annotation, knowledge representation and inference, data privacy and security, and enabling distributed and collaborative paradigms such as P2P, Grid and Cloud Computing due to the geographically dispersed and distributed nature of the data. The book aims to cover in a comprehensive manner the combinatorial effort of utilizing and integrating various next generations collaborative and distributed data technologies for computational intelligence in various scenarios. The book also distinguishes itself by assessing whether utilization and integration of next generation data technologies can assist in the identification of new opportunities, which may also be strategically fit for purpose.
Chaos Based Cryptography
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Author : Ljupco Kocarev
language : en
Publisher: Springer
Release Date : 2011-06-17
Chaos Based Cryptography written by Ljupco Kocarev and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-06-17 with Technology & Engineering categories.
Chaos-based cryptography, attracting many researchers in the past decade, is a research field across two fields, i.e., chaos (nonlinear dynamic system) and cryptography (computer and data security). It Chaos' properties, such as randomness and ergodicity, have been proved to be suitable for designing the means for data protection. The book gives a thorough description of chaos-based cryptography, which consists of chaos basic theory, chaos properties suitable for cryptography, chaos-based cryptographic techniques, and various secure applications based on chaos. Additionally, it covers both the latest research results and some open issues or hot topics. The book creates a collection of high-quality chapters contributed by leading experts in the related fields. It embraces a wide variety of aspects of the related subject areas and provide a scientifically and scholarly sound treatment of state-of-the-art techniques to students, researchers, academics, personnel of law enforcement and IT practitioners who are interested or involved in the study, research, use, design and development of techniques related to chaos-based cryptography.