Visual Analytics for enhancing supervised attack attribution in mobile networks∗ Stavros Papadopoulos, Vasilios Mavroudis, Anastasios Drosou, and Dimitrios Tzovaras Abstract Researchers have recently uncovered numerous

Source URL: mavroud.is

• Mobile technology
• Technology
• Data mining
• Wireless
• Mobile telecommunications
• Videotelephony
• Anomaly detection
• Data security
• Machine learning
• Local outlier factor
• Computer network
• UMTS

Visual Analytics  Facilitates the combination of  analytical techniques with data  visualization.  Allows for interaction between  data and decision makers, 

Source URL: www.nlogic.com

1 Evaluating Approaches to Crowdsourced Visual Analytics JESSICA HULLMAN, University of Washington ERIN KRUPKA, University of Michigan EYTAN ADAR, University of Michigan

Source URL: www.cond.org

IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, VOL. -, NO. -, MONTH - 1 Approximated and User Steerable tSNE for Progressive Visual Analytics

Source URL: nicola17.github.io

Progressive Visual Analytics: User-Driven Visual Exploration of In-Progress Analytics Charles D. Stolper, Adam Perer, and David Gotz Fig. 1. The Progressive Insights system features progressive visual analytics, and supp

Source URL: perer.org

MatrixFlow: Temporal Network Visual Analytics to Track Symptom Evolution during Disease Progression Adam Perer, PhD and Jimeng Sun, PhD IBM T.J. Watson Research Center, Hawthorne, NY Abstract Objective: To develop a visu

Source URL: perer.org

Accepted at the Hawaii International Conference on System Sciences (HICSSMixed-Initiative for Big Data: The Intersection of Human + Visual Analytics + Prediction Stephen Makonin∗ , Daniel McVeigh† , Wolfgang S

Source URL: makonin.com

Employing Visual Analytics to Aid the Design of White Matter Hyperintensity Classifiers Renata Georgia Raidou1,2 , Hugo J. Kuijf3 , Neda Sepasian1 , Nicola Pezzotti2 , Willem H. Bouvy4 , Marcel Breeuwer5,1 , and Anna Vil

Source URL: graphics.tudelft.nl

Visual Analytics for Ontology Matching Using Multi-Linked Views Jillian Aurisano1 , Amruta Nanavaty2 , and Isabel F. Cruz2 1 2

Source URL: ceur-ws.org

PrEVIEw: Clustering and Visualising PubMed using Visual Interface Syeda Sana e Zainab1 , Qaiser Mehmood1 , Durre Zehra1 , Dietrich Rebholz-Schuhmann1 , and Ali Hasnain1 Insight Centre for Data Analytics, National Univers

Source URL: ceur-ws.org