Автор: David Geiger Название: Personalized Task Recommendation in Crowdsourcing Systems ISBN: 3319222902 ISBN-13(EAN): 9783319222905 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the principles of and advances in personalized task recommendation in crowdsourcing systems, with the aim of improving their overall efficiency.
Автор: Wei Li; Michael N. Huhns; Wei-Tek Tsai; Wenjun Wu Название: Crowdsourcing ISBN: 3662512491 ISBN-13(EAN): 9783662512494 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents the latest research on the software crowdsourcing approach to develop large and complex software in a cloud-based platform. The book examines a variety of issues in software crowdsourcing processes, including software quality, costs, diversity of solutions, and the competitive nature of crowdsourcing processes.
Автор: Ghari Neiat Название: Crowdsourcing of Sensor Cloud Services ISBN: 3319915355 ISBN-13(EAN): 9783319915357 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 1 Introduction
1.1 Motivation
1.2 Problem Statement
1.3 Research Objectives
1.4 Contributions
1.5 Organization
2 Background
2.1 Sensor-Cloud Architecture
2.2 Service Composition
2.3 Spatio-Temporal Crowdsourced Services
2.4 Incentive Models
2.5 Chapter Summary
3 Spatio-Temporal Linear Composition of Sensor-Cloud Services
3.1 Introduction
3.2 Background
3.3 Spatio-Temporal Model for Sensor-Cloud Services
3.4 Spatio-Temporal Selection of Sensor-Cloud Services
3.5 Spatio-Temporal Quality Model for Line Segment Services
3.6 Spatio-Temporal Linear Composition of Sensor-Cloud Services
3.7 Failure-Proof Spatio-Temporal Composition of Sensor Cloud Services
3.8 Performance Study
3.9 Chapter Summary
4 Crowdsourced Coverage as a Service: Two-Level Composition of SensorCloud Services
4.1 Introduction
4.2 Coverage as a Service (CaaS)
4.3 Double-Layered Crowdsourced Sensor-Cloud Service Composition
4.4 Experimental Results
4.5 Chapter Summary
5 Incentive-Based Crowdsourcing of Hotspot Services 84
5.1 Introduction
5.2 Background
5.3 System Model and Problem Formulation
5.4 Spatio-Temporal Incentive-Based Approach
5.5 Experiment Results
5.6 Chapter Summary
6 Conclusion
6.1 Research Objectives Revisited
6.2 Future Research
Автор: Azadeh Ghari Neiat; Athman Bouguettaya Название: Crowdsourcing of Sensor Cloud Services ISBN: 3030082695 ISBN-13(EAN): 9783030082697 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book develops a crowdsourced sensor-cloud service composition framework taking into account spatio-temporal aspects. This book also unfolds new horizons to service-oriented computing towards the direction of crowdsourced sensor data based applications, in the broader context of Internet of Things (IoT). It is a massive challenge for the IoT research field how to effectively and efficiently capture, manage and deliver sensed data as user-desired services. The outcome of this research will contribute to solving this very important question, by designing a novel service framework and a set of unique service selection and composition frameworks.Delivering a novel service framework to manage crowdsourced sensor data provides high-level abstraction (i.e., sensor-cloud service) to model crowdsourced sensor data from functional and non-functional perspectives, seamlessly turning the raw data into “ready to go” services. A creative indexing model is developed to capture and manage the spatio-temporal dynamism of crowdsourced service providers.Delivering novel frameworks to compose crowdsourced sensor-cloud services is vital. These frameworks focuses on spatio-temporal composition of crowdsourced sensor-cloud services, which is a new territory for existing service oriented computing research. A creative failure-proof model is also designed to prevent composition failure caused by fluctuating QoS.Delivering an incentive model to drive the coverage of crowdsourced service providers is also vital. A new spatio-temporal incentive model targets changing coverage of the crowdsourced providers to achieve demanded coverage of crowdsourced sensor-cloud services within a region.The outcome of this research is expected to potentially create a sensor services crowdsourcing market and new commercial opportunities focusing on crowdsourced data based applications. The crowdsourced community based approach adds significant value to journey planning and map services thus creating a competitive edge for a technologically-minded companies incentivizing new start-ups, thus enabling higher market innovation.This book primarily targets researchers and practitioners, who conduct research work in service oriented computing, Internet of Things (IoT), smart city and spatio-temporal travel planning, as well as advanced-level students studying this field. Small and Medium Entrepreneurs, who invest in crowdsourced IoT services and journey planning infrastructures, will also want to purchase this book.
Автор: Omar Alonso Название: The Practice of Crowdsourcing ISBN: 1681735253 ISBN-13(EAN): 9781681735252 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 13999.00 р. Наличие на складе: Нет в наличии.
Описание: Many data-intensive applications that use machine learning or artificial intelligence techniques depend on humans providing the initial dataset, enabling algorithms to process the rest or for other humans to evaluate the performance of such algorithms. Not only can labeled data for training and evaluation be collected faster, cheaper, and easier than ever before, but we now see the emergence of hybrid human-machine software that combines computations performed by humans and machines in conjunction. There are, however, real-world practical issues with the adoption of human computation and crowdsourcing. Building systems and data processing pipelines that require crowd computing remains difficult. In this book, we present practical considerations for designing and implementing tasks that require the use of humans and machines in combination with the goal of producing high-quality labels.
Автор: Daniel Archambault; Helen Purchase; Tobias Ho?feld Название: Evaluation in the Crowd. Crowdsourcing and Human-Centered Experiments ISBN: 3319664344 ISBN-13(EAN): 9783319664347 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: As the outcome of the Dagstuhl Seminar 15481 on Crowdsourcing and Human-Centered Experiments, this book is a primer for computer science researchers who intend to use crowdsourcing technology for human centered experiments.
Автор: David Geiger Название: Personalized Task Recommendation in Crowdsourcing Systems ISBN: 3319370588 ISBN-13(EAN): 9783319370583 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book examines the principles of and advances in personalized task recommendation in crowdsourcing systems, with the aim of improving their overall efficiency.
Автор: Thuan Название: Business Process Crowdsourcing ISBN: 3319913905 ISBN-13(EAN): 9783319913902 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book conceptualises and develops crowdsourcing as an organisational business process. The book offers a process model to guide organisations towards the establishment of business process crowdsourcing (BPC), and empirically showcases and evaluates the model using two current major crowdsourcing projects.
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