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Advanced Visual Interfaces Supporting Big Data Applications
Advanced Visual Interfaces Supporting Big Data Applications in Virtual Research Environments, AVI-BDA 2016, held in Bari, Italy, in June 2016. The;
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User-Centered Data Management
Query Systems / Beyond Querying / More Advanced Applications / Non-Visual Interfaces / Conclusions;
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Big Data and Visual Analytics
This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to;
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Object-Oriented Programming with Visual Basic.NET
Michael McMillan provides a complete presentation of the object-oriented features of the Visual Basic .NET language for advanced Visual;
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Programming Microsoft Visual Basic 6.0
-oriented programming capabilities in the Visual Basic 6.0 development system. From Windows common controls to data access, Internet, and ActiveX;
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Handbook of Deep Learning Applications
object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data;
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Intelligence Science and Big Data Engineering. Visual Data Engineering
submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics;
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Hybrid Artificial Intelligent Systems
computing; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent;
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Hybrid Artificial Intelligent Systems
computation; learning algorithms; visual analysis and advanced data processing techniques; data mining applications; and hybrid intelligent;
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Big Data and Computational Intelligence in Networking
This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its;
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Mission Oriented Sensor Networks and Systems Art and Science
object recognition, driverless cars, semantic image segmentation, deep visual residual abstraction, brain-computer interfaces, big data;
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Neural Approaches to Dynamics of Signal Exchanges
models; and social and biometric data for applications in human-computer interfaces, it discusses processing of audio-visual signals for the;
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Neural Approaches to Dynamics of Signal Exchanges
models; and social and biometric data for applications in human-computer interfaces, it discusses processing of audio-visual signals for the;
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Intelligence Science and Big Data Engineering. Big Data and Machine Learning
submissions.The papers are organized in two parts: visual data engineering; and big data and machine learning. They cover a large range of topics;
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Advanced Deep Learning Applications in Big Data Analytics
major issue in today's digital world. Advanced Deep Learning Applications in Big Data Analytics is a pivotal reference source that aims to;
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Product Data Interfaces in CAD/CAM Applications
Dit is de van Product Data Interfaces in CAD/CAM Applications;
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User-Centered Data Management
This lecture covers several core issues in user-centered data management, including how to design usable interfaces that suitably support;
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Advanced Hybrid Information Processing
research and application. The theme of ADHIP 2020 was Industrial applications of aspects with big data . The papers are named in topical;
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Advanced Hybrid Information Processing
research and application. The theme of ADHIP 2020 was Industrial applications of aspects with big data . The papers are named in topical;
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The Image-Interface - Graphical Supports for Visual Information
interfaces, programming languages and code, algorithms, data structures, and data types in their relationship with graphical outcomes and design;
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Handbook of Big Data Analytics: Applications in ICT, security and business analytics
analytics, traffic predictions, gender based classification on e-commerce data, recommender systems, Big Data regression with Apache Spark, visual;
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Big Data Concepts, Theories, and Applications
This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this;
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Advances in Visual Data Compression and Communication
theoretical and technical basis for advanced research on visual data compression and communication. The book studies the drifting problem;
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Professional Visual Basic 2012 and .NET 4.5 Programming
2012 and .NET 4.5, this book moves quickly into advanced topics such as data access with ADO.NET, security, ASP.NET web programming with Visual;
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Big Visual Data Analysis
This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene;
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