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Author: Vivek K. Singh
Publisher: Springer
ISBN: 3319305379
Category : Computers
Languages : en
Pages : 152
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Book Description
This book presents a framework for converting multitudes of data streams available today including weather patterns, stock prices, social media, traffic information, and disease incidents into actionable insights based on situation recognition. It computationally defines the notion of situations as an abstraction of millions of data points into actionable insights, describes a computational framework to model and evaluate such situations and presents an open-source web-based system called EventShop to implement them without necessitating programming expertise. The book is useful for both practitioners and researchers working in the field of situation-aware computing. It acts as a primer for data-enthusiasts and information professionals interested in harnessing the value of heterogeneous big data for building diverse situation-based applications. It also can be used as a reference text by researchers working in areas as varied as database design, multimodel concept recognition, and middle-ware and ubiquitous computing to design and develop frameworks that allow users to create their own situation recognition frameworks.
Author: Vivek K. Singh
Publisher: Springer
ISBN: 3319305379
Category : Computers
Languages : en
Pages : 152
Get Book Here
Book Description
This book presents a framework for converting multitudes of data streams available today including weather patterns, stock prices, social media, traffic information, and disease incidents into actionable insights based on situation recognition. It computationally defines the notion of situations as an abstraction of millions of data points into actionable insights, describes a computational framework to model and evaluate such situations and presents an open-source web-based system called EventShop to implement them without necessitating programming expertise. The book is useful for both practitioners and researchers working in the field of situation-aware computing. It acts as a primer for data-enthusiasts and information professionals interested in harnessing the value of heterogeneous big data for building diverse situation-based applications. It also can be used as a reference text by researchers working in areas as varied as database design, multimodel concept recognition, and middle-ware and ubiquitous computing to design and develop frameworks that allow users to create their own situation recognition frameworks.
Author: Shih-Fu Chang
Publisher: Morgan & Claypool
ISBN: 1970001054
Category : Computers
Languages : en
Pages : 416
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Book Description
The field of multimedia is unique in offering a rich and dynamic forum for researchers from “traditional” fields to collaborate and develop new solutions and knowledge that transcend the boundaries of individual disciplines. Despite the prolific research activities and outcomes, however, few efforts have been made to develop books that serve as an introduction to the rich spectrum of topics covered by this broad field. A few books are available that either focus on specific subfields or basic background in multimedia. Tutorial-style materials covering the active topics being pursued by the leading researchers at frontiers of the field are currently lacking. In 2015, ACM SIGMM, the special interest group on multimedia, launched a new initiative to address this void by selecting and inviting 12 rising-star speakers from different subfields of multimedia research to deliver plenary tutorial-style talks at the ACM Multimedia conference for 2015. Each speaker discussed the challenges and state-of-the-art developments of their prospective research areas in a general manner to the broad community. The covered topics were comprehensive, including multimedia content understanding, multimodal human-human and human-computer interaction, multimedia social media, and multimedia system architecture and deployment. Following the very positive responses to these talks, the speakers were invited to expand the content covered in their talks into chapters that can be used as reference material for researchers, students, and practitioners. Each chapter discusses the problems, technical challenges, state-of-the-art approaches and performances, open issues, and promising direction for future work. Collectively, the chapters provide an excellent sampling of major topics addressed by the community as a whole. This book, capturing some of the outcomes of such efforts, is well positioned to fill the aforementioned needs in providing tutorial-style reference materials for frontier topics in multimedia. At the same time, the speed and sophistication required of data processing have grown. In addition to simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in addition to batch processing, streaming analysis of real-time data is required to let organizations take timely action. Future computing platforms will need to not only scale out traditional workloads, but support these new applications too. This book, a revised version of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance. And whereas most deployed systems only support simple one-pass computations (e.g., SQL queries), ours also extends to the multi-pass algorithms required for complex analytics like machine learning. Finally, unlike the specialized systems proposed for some of these workloads, our architecture allows these computations to be combined, enabling rich new applications that intermix, for example, streaming and batch processing. We achieve these results through a simple extension to MapReduce that adds primitives for data sharing, called Resilient Distributed Datasets (RDDs). We show that this is enough to capture a wide range of workloads. We implement RDDs in the open source Spark system, which we evaluate using synthetic and real workloads. Spark matches or exceeds the performance of specialized systems in many domains, while offering stronger fault tolerance properties and allowing these workloads to be combined. Finally, we examine the generality of RDDs from both a theoretical modeling perspective and a systems perspective. This version of the dissertation makes corrections throughout the text and adds a new section on the evolution of Apache Spark in industry since 2014. In addition, editing, formatting, and links for the references have been added.
Author: Osvaldo Gervasi
Publisher: Springer
ISBN: 3319951629
Category : Computers
Languages : en
Pages : 754
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Book Description
The five volume set LNCS 10960 until 10964 constitutes the refereed proceedings of the 18th International Conference on Computational Science and Its Applications, ICCSA 2018, held in Melbourne, Australia, in July 2018. Apart from the general tracks, ICCSA 2018 also includes 34 international workshops in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as computer graphics and virtual reality. The total of 265 full papers and 10 short papers presented in the 5-volume proceedings set of ICCSA 2018, were carefully reviewed and selected from 892 submissions.
Author: Laleh Jalali
Publisher: Morgan & Claypool
ISBN: 1450384854
Category : Computers
Languages : en
Pages : 162
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Book Description
This book introduces the concept of Event Mining for building explanatory models from analyses of correlated data. Such a model may be used as the basis for predictions and corrective actions. The idea is to create, via an iterative process, a model that explains causal relationships in the form of structural and temporal patterns in the data. The first phase is the data-driven process of hypothesis formation, requiring the analysis of large amounts of data to find strong candidate hypotheses. The second phase is hypothesis testing, wherein a domain expert’s knowledge and judgment is used to test and modify the candidate hypotheses. The book is intended as a primer on Event Mining for data-enthusiasts and information professionals interested in employing these event-based data analysis techniques in diverse applications. The reader is introduced to frameworks for temporal knowledge representation and reasoning, as well as temporal data mining and pattern discovery. Also discussed are the design principles of event mining systems. The approach is reified by the presentation of an event mining system called EventMiner, a computational framework for building explanatory models. The book contains case studies of using EventMiner in asthma risk management and an architecture for the objective self. The text can be used by researchers interested in harnessing the value of heterogeneous big data for designing explanatory event-based models in diverse application areas such as healthcare, biological data analytics, predictive maintenance of systems, computer networks, and business intelligence.
Author: Vivek Kumar Singh
Publisher:
ISBN: 9781267646385
Category :
Languages : en
Pages : 192
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Book Description
With the growth in internet-of-things, social media, mobile devices, and planetary-scale sensing, there is an unprecedented opportunity to assimilate spatio-temporally distributed streams into actionable situations. Detecting situations in realtime can be used to benefit human lives and resources in multiple applications. However, the progress in the field of situation recognition, is still sluggish because: (a) the notion of situations is still vague and ill-defined, (b) there is a lack of abstractions and techniques to help users model their situations of interest, and (c) there is a lack of computational tools to rapidly implement, refine, and personalize these situation models to build various situation-based applications. This dissertation computationally defines situations and presents a framework for personalized situation recognition by providing support for conceptual situation modeling, data unification, real-time situation recognition, personalization, and action-taking. The proposed framework defines a situation as ``An actionable abstraction of observed spatio-temporal descriptors'', and identifies a data representation, a set of analysis operations, and lays out a workflow for modeling different situations of interest. Considering Space and Time as the unifying axes, it represents data in a grid-based E-mage data structure. It defines an algebra of operations (viz. Selection, Aggregation, Classification, Spatio-temporal Characterization, and Spatio-temporal Pattern Matching) for situation recognition; and defines a step-by-step guide to help domain experts model their situations based on the data, the operations, and the transformations. The framework is operationalized via EventShop - a web based system which lets users graphically select, import, combine, and operate, on real-time data streams to recognize situations for generating appropriate information and actions. EventShop allows different designers to quickly configure their situation models, evaluate the results, and refine the models until a satisfactory level of performance for supporting various applications is achieved. The detected situations can also be personalized and used for undertaking control actions via Situation-Action rule templates. The framework has been used to build multiple applications including flu monitoring and alerting, wildfire recognition, business decision making, flood alerts, asthma recommendation system, seasonal characteristics analysis, and hurricane monitoring.
Author: Ana Cristina Franco da Silva
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: Edwige Pissaloux
Publisher: Springer Nature
ISBN: 3030942090
Category : Computers
Languages : en
Pages : 240
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Book Description
This book constitutes selected papers presented at the First International Conference on ICT for Health, Accessibility and Wellbeing, IHAW 2021, held in Larnaca, Cyprus, in November 2021. The 12 full papers and 7 short papers were thoroughly reviewed and selected from 36 submissions. One invited paper was also included in this volume. The papers are organized in topical sections on active aging; assistive devices and systems; brain functions support and mHealth; brain functions support and oncology; ICT and wellbeing.
Author: Bailee Abbott
Publisher: Crooked Lane Books
ISBN: 1643857754
Category : Fiction
Languages : en
Pages : 287
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Book Description
A quiet lakeside town in western New York state is the new home of Manhattan artist Chloe Abbington and the backdrop for murder in this series debut by Bailee Abbott. For Chloe Abbington, the transition from fine art painter in New York City to painting-event business owner in charming Whisper Cove is more than a little jarring. But when poison-pen journalist Fiona Gimble writes a viciously negative review of the newly opened Paint with a View, Chloe learns that critics are the same everywhere. And when she finds Fiona's body behind her shop with a painting knife in her neck, Chloe realizes that this picture-perfect town offers anything but peace and quiet. Suddenly, bustling Artisan Alley is a crime scene, and Chloe is the prime suspect. Her sister and business partner, Izzie, isn't much help--she's busy running the shop, and besides, she has secrets of her own. As shrewd Detective Barrett tries to paint her into a corner, Chloe soon finds that Fiona had plenty of enemies. The Whisper Cove Gazette columnist wielded her pen like a sword, slicing and dicing just about every shop owner in the lakeside town. With the help of her affectionate canine buddy, Max, Chloe sets out to prove that she's been framed for Fiona's murder. But she'd better learn the fine art of detection quickly, before the real killer paints the town red again. Otherwise, she may end up trading in her paint smock for an orange jumpsuit...or a green burial plot.
Author: Shih-Fu Chang
Publisher: Morgan & Claypool
ISBN: 1970001062
Category : Computers
Languages : en
Pages : 492
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Book Description
The field of multimedia is unique in offering a rich and dynamic forum for researchers from “traditional” fields to collaborate and develop new solutions and knowledge that transcend the boundaries of individual disciplines. Despite the prolific research activities and outcomes, however, few efforts have been made to develop books that serve as an introduction to the rich spectrum of topics covered by this broad field. A few books are available that either focus on specific subfields or basic background in multimedia. Tutorial-style materials covering the active topics being pursued by the leading researchers at frontiers of the field are currently lacking. In 2015, ACM SIGMM, the special interest group on multimedia, launched a new initiative to address this void by selecting and inviting 12 rising-star speakers from different subfields of multimedia research to deliver plenary tutorial-style talks at the ACM Multimedia conference for 2015. Each speaker discussed the challenges and state-of-the-art developments of their prospective research areas in a general manner to the broad community. The covered topics were comprehensive, including multimedia content understanding, multimodal human-human and human-computer interaction, multimedia social media, and multimedia system architecture and deployment. Following the very positive responses to these talks, the speakers were invited to expand the content covered in their talks into chapters that can be used as reference material for researchers, students, and practitioners. Each chapter discusses the problems, technical challenges, state-of-the-art approaches and performances, open issues, and promising direction for future work. Collectively, the chapters provide an excellent sampling of major topics addressed by the community as a whole. This book, capturing some of the outcomes of such efforts, is well positioned to fill the aforementioned needs in providing tutorial-style reference materials for frontier topics in multimedia. At the same time, the speed and sophistication required of data processing have grown. In addition to simple queries, complex algorithms like machine learning and graph analysis are becoming common. And in addition to batch processing, streaming analysis of real-time data is required to let organizations take timely action. Future computing platforms will need to not only scale out traditional workloads, but support these new applications too. This book, a revised version of the 2014 ACM Dissertation Award winning dissertation, proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. Whereas early cluster computing systems, like MapReduce, handled batch processing, our architecture also enables streaming and interactive queries, while keeping MapReduce's scalability and fault tolerance. And whereas most deployed systems only support simple one-pass computations (e.g., SQL queries), ours also extends to the multi-pass algorithms required for complex analytics like machine learning. Finally, unlike the specialized systems proposed for some of these workloads, our architecture allows these computations to be combined, enabling rich new applications that intermix, for example, streaming and batch processing. We achieve these results through a simple extension to MapReduce that adds primitives for data sharing, called Resilient Distributed Datasets (RDDs). We show that this is enough to capture a wide range of workloads. We implement RDDs in the open source Spark system, which we evaluate using synthetic and real workloads. Spark matches or exceeds the performance of specialized systems in many domains, while offering stronger fault tolerance properties and allowing these workloads to be combined. Finally, we examine the generality of RDDs from both a theoretical modeling perspective and a systems perspective. This version of the dissertation makes corrections throughout the text and adds a new section on the evolution of Apache Spark in industry since 2014. In addition, editing, formatting, and links for the references have been added.
Author: Daniel Funk
Publisher: Routledge
ISBN: 113644162X
Category : Business & Economics
Languages : en
Pages : 252
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Book Description
Consumer Behaviour in Sport and Events emphasises the role of consumer behaviour in sport marketing. Given the social, economic, and environmental benefits of sport events, the challenge for marketers is to understand the complexity of sport and event participation. Through a heightened understanding of consumer behaviour, marketers are able to develop communication strategies to enhance the experience, while identifying key elements of the consumer’s decision-making process. This book provides students and industry professionals with the knowledge and skills necessary to meet the current marketing challenges facing professionals working in the sport and event industries. This comprehensive text covers a wide range of determinants that influence both active recreation and passive spectator participation, and offers the reader: A detailed understanding of the personal, psychological and environmental factors that influence sport and event related consumer behaviour A basis for the development of marketing actions useful in sport and related business, community and government sectors A comprehensive understanding of how individuals associate themselves with sport and event products and services A quick and simple segmentation tool to guide discussion of marketing actions and strategies for four stages of involvement with sport and events A comprehensive events checklist to help understand marketing actions related to the development, promotion and delivery of a sport event. Sport and event consumer behaviour is a rapidly growing area of interest and this book is considered a valuable resource for those involved in the sport and events industries from students to marketers to academics.
