Scalable Interactive Visualization

ISBN 10: 3038428035 / ISBN 13: 9783038428039

Published by MDPI AG, MDPI AG, 2018

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - Data available in today s information society is ever growing in size and complexity i.e., unstructured, multidimensional, uncertain, etc. making it impossible to survey and understand this data. Traditionally, most of these datasets are stored and depicted as huge tables, hindering efficient retrieval of salient information similarities, outliers, structures, origin, etc. Interactive visualization provides an interface to this data that can help gleaning valuable information from it, thus supporting better data understanding by significantly reducing cognitive load on the analyst. Two fundamental concepts, visualization and interaction, form the basis of the underlying scientific methods. Combining these concepts connects two key research areas in computer science: visualization and human-computer interaction (HCI) and brings together practitioners from many disciplines. The result is highly multi-disciplinary work with significant impact and virtually unlimited application areas. However, truly interactive visualizations are hard to design and implement, so researchers have to solve multiple problems. This Special Issue provides an overciew over the current state-of-the-art of 'Interactive Visualization.' It shows recent work in the field, as well as trends for future development.

Seller Inventory # 9783038428039

Bibliographic Details

• Title: Scalable Interactive Visualization
• Publisher: MDPI AG, MDPI AG
• Publication Date: 2018
• Language: English
• ISBN 10: 3038428035
• ISBN 13: 9783038428039
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 244W x 170H x 16D millimeters 244 millimeters width by 170 millimeters height by 16 millimeters depth
• Weight: 631 grams

About this title

Synopsis

Data available in today's information society is ever growing in size and complexity--i.e., unstructured, multidimensional, uncertain, etc.--making it impossible to survey and understand this data. Traditionally, most of these datasets are stored and depicted as huge tables, hindering efficient retrieval of salient information--similarities, outliers, structures, origin, etc. Interactive visualization provides an interface to this data that can help gleaning valuable information from it, thus supporting better data understanding by significantly reducing cognitive load on the analyst. Two fundamental concepts, visualization and interaction, form the basis of the underlying scientific methods. Combining these concepts connects two key research areas in computer science: visualization and human-computer interaction (HCI) and brings together practitioners from many disciplines. The result is highly multi-disciplinary work with significant impact and virtually unlimited application areas. However, truly interactive visualizations are hard to design and implement, so researchers have to solve multiple problems. This Special Issue provides an overciew over the current state-of-the-art of "Interactive Visualization." It shows recent work in the field, as well as trends for future development.