Session 5: Data-driven co-design of communication, computing and control for IoT security
Design of a Force Balance Geophone Utilizing Bandwidth Extension and Data Acquisition Interface
Application of 3ds Max Technology in Archaeology
The Application of Virtual Reality Technology in ESP Teaching
Application of Simulation Method Based on Computer Bionic Design
The Implementation and Application of Computer Simulation Technology in PE Teaching
Construction of College Communities in the New Media Based on Network Environment
Political and Ideological Personnel Management Mode Based on Computer Network
Analysis of Mapping Knowledge Domain on Health and Wellness Tourism in the Perspective of Cite Space
Application of Smart Retail Mode in Suning.Com
Construction and Development of High-tech Smart City
Design and Implementation of Self-Service Tourism Management Information System Based on B/S Architecture
Chinese Culture Penetration in Teaching Chinese as a Foreign Language in the Era of Mobile Internet
Application and Outlook of Digital Media Technology in Smart Tourism
Accounting Informationization in Computer Network Environment
Mobile Phone GPS and Sensor Technology in College Students' Extracurricular Exercises
Design of Networking Network Model Based on Network Function Virtualization Technology
Intelligent Media Technology Empowered Brand Communication of Chinese Intangible Cultural Heritage
Construction Strategy of Smart English Teaching Platform from the Perspective of "Internet + Education"
Online Writing Effectiveness under the Blended Teaching Mode of Moscotech APP
A Narrative Environment Model for the Sustainability of Intangible Cultural Heritage under the 5G Era
Application Study of VPN on the Network of Hydropower Plant
Prediction of Technology Trend of Educational Robot Industry Based On Patent Map Analysis
Coal Handling System of Power Plant Based On PLC
Discussion on the Construction of Wireless Campus Network Based On SDN Architecture
Applicational Status Analysis of Artificial Intelligence Technology in Middle School Education and Teaching
Virtual Enterprise Partner Selection by Improved Analytic Hierarchy Process with Entropy Weight and Range Method
Research and implementation of Intelligent Tourism Guide System Based on cloud computing platform
Analysis of financial needs of new agricultural operators based on K-means clustering algorithm
Research on the application of virtual network technology in computer network security
Application of Bionics in Underwater Acoustic Covert Communication
Energy-saving and efficient underwater wireless sensor network security data aggregation model
False Data Filtering in Underwater Wireless Sensor Networks
Research on Underwater Bionic Covert Communication
Session 6: Authentication and access control for data usage in IoT
The Application of Virtual Reality Technology in Architectural Design
Computer-assisted Teaching and Cultivate Students' Innovative Thinking Ability
The Reform Progress and Practical Difficulties of State-owned Hospitals under Information Age―Case Analysis Based on the Reform in a Medical Institution of A Group in China
Financing Efficiency of SMEs in New Third Board Market in the Information Times
Application of Virtual Instrument Technology in Electronic Course Teaching
A Solution for Internet of Things based on Blockchain and Edge Computer
Discovery and Advice of Free Charging of Electronic Devices
Design and Implementation of Tourism Information Management System Based on .NET
A Computer Model for Decision of Equipment Maintenance Spare Parts Reserve
Risk Level Determination of Science a
Автор: Guo, Song (the Hong Kong Polytechnic University) Qu, Zhihao (the Hong Kong Polytechnic University) Название: Edge learning for distributed big data analytics ISBN: 1108832377 ISBN-13(EAN): 9781108832373 Издательство: Cambridge Academ Рейтинг: Цена: 9502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduces fundamental theory, basic and advanced algorithms, and system design issues. Essential reading for experienced researchers and developers, or for those who are just entering the field.
Автор: Anandakumar Haldorai, Arulmurugan Ramu Название: Cognitive Social Mining Applications in Data Analytics and Forensics ISBN: 1522575227 ISBN-13(EAN): 9781522575221 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28413.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community. Cognitive radios are expected to play a major role in meeting this exploding traffic demand on social networks due to their ability to sense the environment, analyze outdoor parameters, and then make decisions for dynamic time, frequency, space, resource allocation, and management to improve the utilization of mining the social data.Cognitive Social Mining Applications in Data Analytics and Forensics is an essential reference source that reviews cognitive radio concepts and examines their applications to social mining using a machine learning approach so that an adaptive and intelligent mining is achieved. Featuring research on topics such as data mining, real-time ubiquitous social mining services, and cognitive computing, this book is ideally designed for social network analysts, researchers, academicians, and industry professionals.
Автор: Ho Anthony T S Название: Handbook of Digital Forensics of Multimedia Data and Devices ISBN: 1118640500 ISBN-13(EAN): 9781118640500 Издательство: Wiley Рейтинг: Цена: 21059.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Digital forensics and multimedia forensics are rapidly growing disciplines whereby electronic information is extracted and interpreted for use in a court of law.
Автор: Jahankhani Hamid Et Al Название: Handbook Of Electronic Security And Digital Forensics ISBN: 9812837035 ISBN-13(EAN): 9789812837035 Издательство: World Scientific Publishing Рейтинг: Цена: 33106.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cybercrime is one of the biggest growth industries around the globe, whether it is in the form of violation of company policies, fraud, hate crime, extremism, or terrorism. This book provides literature on e-security needs across applications, implementation, testing or investigative techniques, judicial processes and criminal intelligence.
Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics ISBN: 179981193X ISBN-13(EAN): 9781799811930 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 27027.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics ISBN: 1799811921 ISBN-13(EAN): 9781799811923 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 35897.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.
Автор: Suneeta Satpathy, Sachi Nandan Mohanty Название: Big Data Analytics and Computing for Digital Forensic Investigations ISBN: 0367456788 ISBN-13(EAN): 9780367456788 Издательство: Taylor&Francis Рейтинг: Цена: 12095.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The book investigates the areas of digital forensics, digital investigation, and data analysis procedures as they apply to computer fraud and cyber crime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence.
Описание: The accepted chapters covered many themes including artificial intelligence and data mining applications, machine learning and applications, deep learning technology for big data analytics, and modeling, simulation, and security with big data.
Автор: Abu-Salih Bilal, Wongthongtham Pornpit, Zhu Dengya Название: Social Big Data Analytics: Practices, Techniques, and Applications ISBN: 9813366516 ISBN-13(EAN): 9789813366510 Издательство: Springer Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Chapter 1: Big data technologies
Big data is no more "all just hype" but widely applied in nearly all aspects of our business, governments, and organizations with the technology stack of AI. Its influences are far beyond a simple technique innovation but involves all rears in the world. This chapter will first have historical review of big data; followed by discussion of characteristics of big data, i.e. the 3V's to up 10V's of big data. The chapter then introduces technology stacks for an organization to build a big data application, from infrastructure/platform/ecosystem to constructional units/components; following by several successful examples. Finally, we provide some big data online resources for reference.
Chapter 2: Credibility and influence in social big data
Online Social Networks (OSNs) are a fertile medium through which users can express their sentiments and share their opinions, experiences and knowledge of several topics. There is a deficiency of assessment mechanisms that incorporate domain-based trustworthiness. In OSNs, determining users' influence in a particular domain has been driven by its significance in a broad range of applications such as personalized recommendation systems, opinion analysis, expertise retrieval, to name a few. This chapter presents a comprehensive framework that aims to infer value from BSD by measuring the domain-based trustworthiness of OSN users, addressing the main features of big data, and incorporating semantic analysis and the temporal factor.
Chapter 3: Semantic data discovery from social big data
The challenge of managing and extracting useful knowledge from social media data sources has attracted much attention from academia and industry. Social big data is an important big data island; thus, social data analytics are intended to make sense of data and to obtain value from data. Social big data provides a wealth of information that businesses, political governments, organisations, etc. can mine and analyse to exploit value in a variety of areas. This chapter discusses the development of an approach that aims to semantically analyse social content, thus enriching social data with semantic conceptual representation for domain-based discovery.
Chapter 4: Predictive analytics using social big data and machine learning
Previous works in the area of topic distillation and discovery lack an appropriate and applicable technical solution that can handle the complex task of obtaining an accurate interpretation of the contextual social content. This is evident through the inadequacy of these endeavours in addressing the topics of microblogging short messages like tweets, and their inability to classify and predict the messages' actual and precise domains of interest at the user level. Hence, this chapter intends to address this problem by presenting solutions to domain-based classification and prediction of social big data at the user and tweet levels incorporating comprehensive knowledge discovery tools and well-known machine learning algorithms.
Chapter 5: Affective design in the era of big social data
In today's competitive market, product designers not only need to optimize functional qualities when developing a new product, but also they need to optimize the affective qualities of the product. The reason is that products with high affective qualities is more likely to attract more potential consumers to buy. In the past, affective design is generally conducted based on the limited amount of customer survey data which is collected from marketing questionnaires and consumer interviews. Since the data amount is limited, the affective design cannot fully reflect the current or even the recent situation of the marketplaces. Thanks to the advanced computing and web technologies, big data from social media or product reviews in w
Session 1: Novel machine learning methods for IoT security
The Innovation of UI Design Courses in Higher Vocational Colleges Based on the Internet Perspective
Predicting the Getting-on and Getting-off Points Based on the Trafic Big Data
The Prediction analysis of Passengers Boarding and Alighting Points Based on the Big Data of Urban Traffic
Verifiable Random Number Based on B-Spline Curve
An Improved Particle Swarm Optimization Algorithm Based on DFC&HRS
Application and Practice of ID3 Algorithms in College Students' Education
Construction of Human Knee Joint Mechanics Model and Study on Mechanical Characteristics of Flexion movement based on neural network algorithm
Application of Artificial Intelligence Technology in Physical Fitness Test of College Students
Theoretical Research on College Students' Professional Literacy Design Based on Deep Learning
Artificial Intelligence is the Technical Guarantee of Network Security
Intelligent Question Answering System of Medical Knowledge Map Based on Deep Learning
Construction and Practice of Red Teaching Resources Based on Machine Learning
Reasonable Approach and Development Trend of Artificial Intelligence Sports Development
Returnee Migrant Workers' Entrepreneurship Based on Artificial Intelligence
Improvement of College Teachers' Teaching Ability under the Background of the Development of Artificial Intelligence Platform
Influence Factors of Using Modern Teaching Technology in the Classroom of Junior Middle School Teachers under the Background of Artificial Intelligence--Analysis Based on HLM
Analysis and Design of Personalized Learning System Based on Decision Tree Technology
Deep Learning Classification and Recognition Model Construction of Face Living Image Based on Multi-Feature Fusion
A Prediction Method of Blood Glucose Concentration Based On Nonlinear Auto-Regressive Model
Signal Processing Based On Machine Learning Optical Communication
Refined Management of Installation Engineering Cost based on Artificial Intelligence Technology
Application of Artificial Intelligence Technology in International Trade Finance
An Improved Genetic Algorithm for Vehicle Routing Problem
A Machine-Learning Based Store Layout Strategy in Shopping Mall
Risk Analysis in Online Peer-to-Peer Loaning Based on Machine Learning: A Decision Tree Implementation on PPDai.com
The Application of BP Neural Network in the Opioid Crisis
Design of Personalized Intelligent Learning Assistant System under Artificial Intelligence Background
Application of Artificial Intelligence in Intelligent Decision-making of Human Resource Allocation
Research on Early Warning of Security Risk of Hazardous Chemicals Storage Based on BP-PSO
The Application of Artificial Intelligence and Machine Learning in Financial Stability
Application of alternative routing configuration mechanism based on Genetic Algorithm in power communication network
Safety Situation Assessment of Underwater Nodes based on BP Neural Network
Session 2: Big data analytics for IoT security
The Innovation of College Counsellor's Work Based On Big Data Analysis
Analysis of India's Big Data Industry
The Application of Computer Virtual Technology in Modern Sports Training
The Research on the Development and Utilization of Hospital Archive Information in the Big Data Era
Integration and Optimization of College English Teaching Information Resources in the Context of Big Data
Discussion on the Training of Cross-border E-commerce Application Talents Based on the Internet Era
Level of Technology Innovation Development and Promotion Strategies of High Technology Industry in Hubei Province Based on Smart City
Описание: This book presents the latest advances in machine intelligence and big data analytics to improve early warning of cyber-attacks, for cybersecurity intrusion detection and monitoring, and malware analysis.
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