|Total results: 54||
|Developing Churn Models Using Data Mining Techniques and Social Network Analysis
Goran Klepac, Robert Kopal, Leo Mršic.
Churn prediction, recognition, and mitigation have become essential topics in various industries. As a means for forecasting and managing risk, further research in this field can greatly assist companies in making informed decisions based on future possible scenarios.
Developing Churn Models Using...
Innovative Approaches of Data Visualization and Visual Analytics
Mao Lin Huang, Weidong Huang.
Due to rapid advances in hardware and software technologies, network infrastructure and data have become increasingly complex, requiring efforts to more effectively comprehend and analyze network topologies and information systems.Innovative Approaches of Data Visualization and Visual Analytics...
Econometric Methods for Analyzing Economic Development
Peter V. Schaeffer, Eugene Kouassi.
Exploring and understanding the analysis of economic development is essential as global economies continue to experience extreme fluctuation. Econometrics brings together statistical methods for practical content and economic relations. Econometric Methods for Analyzing Economic Development is a...
Aesthetics in Data Visualization: Case Studies and Design Issues
Heekyoung Jung, Tanyoung Kim, Yang Yang, Luis Carli, Marco Carnesecchi, Antonio Rizzo, Cathal Gurrin.
Data visualization has been one of the major interests among interaction designers thanks to the recent advances of visualization authoring tools. Using such tools including programming languages with Graphics APIs, websites with chart topologies, and open source libraries and component models...
A Visual Analytics Approach for Correlation, Classification, and Regression Analysis
Chad A. Steed, J. Edward Swan, Patrick J. Fitzpatrick, T.J. Jankun-Kelly.
New approaches that combine the strengths of humans and machines are necessary to equip analysts with the proper tools for exploring today’s increasingly complex, multivariate data sets. In this chapter, a visual data mining framework, called the Multidimensional Data eXplorer (MDX), is described that...
Understanding Spatial and Non-spatial Cues in Representing Categorical Information
Moonyati Yatid, Masahiro Takatsuka.
The continuously increasing amount of digital information available to computer users has led to the wide use of notification systems. Although these systems could support the management of information, they could also be an interruption to primary work. To minimize this interruption, a number of...
Feature-Based Uncertainty Visualization
Keqin Wu, Song Zhang.
While uncertainty in scientific data attracts an increasing research interest in the visualization community, two critical issues remain insufficiently studied: (1) visualizing the impact of the uncertainty of a data set on its features and (2) interactively exploring 3D or large 2D data sets with...
Cognitive Processes and Traits Related to Graphic Comprehension
Angela M. Zoss.
The subject of how visualizations and graphics in general can be understood by their viewers draws on theories from many fields of research. Such theories might address the formal structure of the visualization, the style and graphic design skills of the creator, the task driving the viewer’s...
Virtual Reality Technologies (Visual, Haptics, and Audio) in Large Datasets Analysis
Bob-Antoine J. Menelas.
With the latest developments in technology, several researchers have integrated other sensorymotor channels in the analysis of scientific datasets. In addition to vision, auditory feedbacks and haptic interactions have been exploited. In this chapter we study how these modalities can contribute to...
The Importance of Visualization and Interaction in the Anomaly Detection Process
Large volumes of heterogeneous data from multiple sources need to be analyzed during the surveillance of large sea, air, and land areas. Timely detection and identification of anomalous behavior or any threat activity is an important objective for enabling homeland security. While it is worth...
Highlighting in Visual Data Analytics
Mao Lin Huang, Jie Liang, Weidong Huang.
Highlighting has been known as a basic viewing control mechanism in computer graphics and visualization for guiding users’ attention in reading diagrams, images, graphs, and digital texts. Due to the rapid development of theory and practice in information visualization and visual analytics, the role of...
Articulate: Creating Meaningful Visualizations from Natural Language
Yiwen Sun, Jason Leigh, Andrew Johnson, Barbara Di Eugenio.
This chapter presents an approach to enable non-visualization experts to craft advanced visualizations through the use of natural language as the primary interface. The main challenge in this research is in determining how to translate imprecise verbal queries into effective visualizations. To...
Visualization of Human Behavior Data: The Quantified Self
Alessandro Marcengo, Amon Rapp.
Although in recent years the Quantified Self (QS) application domain is growing, there are still some palpable fundamental problems that relegate the QS movement in a phase of low maturity. The first is a technological problem, and specifically, a lack of maturity in technologies for the collection...
From Data-Centered to Activity-Centered Geospatial Visualizations
Olga Buchel, Kamran Sedig.
As geospatial visualizations grow in popularity, their role in human activities is also evolving. While maps have been used to support higher-level cognitive activities such as decision-making, sense making, and knowledge discovery, traditionally their use in such activities has been partial. Nowadays...
A Framework for Developing Diagram Applications
Wei Lai, Weidong Huang.
This chapter presents a framework for developing diagram applications. The diagrams refer to those graphs where nodes vary in shape and size used in real world applications, such as flowcharts, UML diagrams, and E-R diagrams. The framework is based on a model the authors developed for diagrams. The...
Community Management Matters: Advanced Visual Analytics for Online Community Managers
John McAuley, Alex O’Connor, Dave Lewis.
Online communities provide technical support for organisations on a range of products and services. These communities are managed by dedicated online community managers who nurture and help the community grow. While visual analytics are increasingly used to support a range of data-intensive management...
A Programmer-Centric and Task-Optimized Object Graph Visualizer for Debuggers
Anthony Savidis, Nikos Koutsopoulos.
Today, existing graph visualizers are not popular for debugging purposes because they are mostly visualization-oriented, rather than task-oriented, implementing general-purpose graph drawing algorithms. The latter explains why prominent integrated development environments still adopt traditional tree...
A New Keynesian Phillips Curve for South Africa
Rulof Burger, Stan du Plessis.
In South Africa, as elsewhere, economists have not reached an agreed upon model for the Phillips curve, despite its importance for understanding the process of inflation and its relevance for policy makers. It has been a particular challenge to identify the role of aggregate economic activity in the...