PROGRAM

Workshop on DAta mining meets Visual Analytics at big data era (DAVA’16)
Lei Shi, Hanghang Tong, Chaoli Wang, Leman Akoglu
Room Regency A&B, Hyatt Regency, Indianapolis, 2:00pm~5:30pm, Oct. 28, 2016

The world is awash with big data now – we are generating ten exabytes of data in a variety of different forms every day. In this wave, there is a trend to integrate the data mining methods with interactive visualizations to advance the so-called visual analytics (VA) technology. Various aspects of the data mining method need to be inspected, justified, organized and evaluated for a successful VA system. This workshop will bring together interdisciplinary researchers from academy, labs and practice to share, exchange, learn, develop preliminary results, new concepts and methodologies in applying data mining method to help advance the VA technology.

2:00 - 3:30
DAVA’16 Opening Remarks

Keynote Talk Session 1 (Chair: Chaoli Wang)

Visual Analytics of Human Brain Connectome
Shiaofen Fang, IUPUI

Visual Analysis in China AI 2.0
Wei Chen, Zhejiang University
3:30 - 3:45
DAVA Paper Session 1 (Chair: Chaoli Wang)

A Framework for Interactive t-SNE Clustering
Jared Bond, Christan Grant, Josh Imbriani and Erik Holbrook
3:45 - 4:00 Coffee break
4:00 - 4:45
Keynote Talk 2 (Chair: Lei Shi)

Deconstructing Graphs by Learning their Grammars
Tim Weninger, University of Notre Dame
4:45 - 5:30
DAVA Paper Session 2 (Chair: Lei Shi)

Exploration of Linked Anomalies in Sensor Data for Suspicious Behavior Detection
Ian Turk, Matthew Sinda, Xin'An Zhou, Jun Tao, Chaoli Wang and Qi Liao

Visual Comparison of Customer Stickiness in Retail Stores
Tao Jiang, Lei Shi, Ye Zhao, Xiatian Zhang and Yao Lu

Visualization for Knowledge Graph Based on Education Data
Kai Sun, Yuhua Liu, Zongchao Guo and Changbo Wang

DAVA’16 Closing
2:00 - 5:30
DAVA Poster Session

Comparison of Clustered Force-directed Graph Drawing for Large Dataset Visual Analytics
Jie Hua, Jie Liang and Maolin Huang

Performance Histogram Curve: Abstractive Visualization and Analysis of NBA Games
Biao Zhu and Wei Chen

Mining frequent patterns of personal trajectory based on base station data
Qi Shuai, Shan Guihua, Tian Dong, Dong Bin and Jiang Shanshan