Data Visualization and Knowledge Engineering: Spotting Data Points with Artificial Intelligence (Lecture Notes on Data Engineering and Communications Technologies Book 32) 1st ed. 2020 Edition [NulledPremium]

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Book details
File Size: 14 MB
Format: pdf
Print Length: 328 pages
Publisher: Springer; 1st ed. 2020 edition (August 9, 2019)
Publication Date: August 9, 2019
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B07W9CSD44

This book presents the fundamentals and advances in the field of data visualization and knowledge engineering, supported by case studies and practical examples. Data visualization and engineering has been instrumental in the development of many data-driven products and processes. As such the book promotes basic research on data visualization and knowledge engineering toward data engineering and knowledge.

Visual data exploration focuses on perception of information and manipulation of data to enable even non-expert users to extract knowledge. A number of visualization techniques are used in a variety of systems that provide users with innovative ways to interact with data and reveal patterns. A variety of scalable data visualization techniques are required to deal with constantly increasing volume of data in different formats.

Knowledge engineering deals with the simulation of the exchange of ideas and the development of smart information systems in which reasoning and knowledge play an important role.

Presenting research in areas like data visualization and knowledge engineering, this book is a valuable resource for students, scholars and researchers in the field.

Each chapter is self-contained and offers an in-depth analysis of real-world applications. It discusses topics including (but not limited to):

spatial data visualization
biomedical visualization and applications
image/video summarization and visualization
perception and cognition in visualization
visualization taxonomies and models
abstract data visualization
information and graph visualization
knowledge engineering
human–machine cooperation
metamodeling
natural language processing
architectures of database, expert and knowledge-based systems
knowledge acquisition methods
applications, case studies and management issues
data administration issues and knowledge
tools for specifying and developing data and knowledge bases using tools based on communication aspects involved in implementing, designing and using KBSs in cyberspace
Semantic Web.
Table of contents (13 chapters)

Cross Projects Defect Prediction Modeling
Recommendation Systems for Interactive Multimedia Entertainment
Image Collection Summarization: Past, Present and Future
Deep Learning Based Semantic Segmentation Applied to Satellite Image
A Deep Dive into Supervised Extractive and Abstractive Summarization from Text
Semantic Web and Data Visualization
Challenges and Responses Towards Sustainable Future Through Machine Learning and Deep Learning
Brain Tumor Segmentation Using OTSU Embedded Adaptive Particle Swarm Optimization Method and Convolutional Neural Network
Analysis and Visualization of User Navigations on Web
Research Trends for Named Entity Recognition in Hindi Language
Data Visualization Techniques, Model and Taxonomy
Prevalence of Visualization Techniques in Data Mining
Relevant Subsection Retrieval for Law Domain Question Answer System