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WORKSHOP on

DataScience

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ENCE INFORMS WORKSHOP ON DATA SCIENCE 2017

Saturday, October 21, 2017 | Hilton Americas | Houston, TexasBreakfast (343, Level 3) 7–8am

Opening Remarks (343, Level 3) 8–8:05am

Keynote Speech (343, Level 3) 8:05–8:50am(Dr. Ramayya Krishnan, Dean, H. John Heinz III College, Carnegie Mellon University; 2018 INFORMS President-Elect)

HILTON AMERICAS - 344, LEVEL 3 HILTON AMERICAS - 346, LEVEL 3

9–10:30amSESSION 1A (Data Science Methodology)Session Chair: Gautam Pant

9–10:30amSESSION 1B (Customer Intelligence)Session Chair: Zhepeng (Lionel) Li

The Turf is Always Greener: Predicting Decommitments in College Football Recruiting Using Social Network DataKristina Bigsby, Jeffrey Ohlmann, Kang Zhao

Leveraging External Consumer Experience: Exploitation, Exploration and Mobile App Product PerformanceZhilei Qiao, Wenqi Shen, Alan Wang, Weiguo Fan

Hiding Sensitive Information Prior to Sharing Distributed Transactional DatabasesAbhijeet Ghoshal, Syam Menon, Sumit Sarkar

Buyer Targeting Optimization: A Unified Customer Segmentation PerspectiveJingyuan Yang

Convex-constrained Sparse Additive Modeling and Its ExtensionsJunming Yin, Yaoliang Yu

Unlocking Our Behavioral Knowledge Inheritance Through Ontology Learning: A Design Framework, an Instantiation, and a Randomized ExperimentJingjing Li, Kai Larsen, Ahmed Abbasi

A Tree-based Approach for Addressing Self-Selection in Impact Studies with Big DataInbal Yahav, Galit Shmueli, Deepa Mani

Aspect Based Recommendations: Recommending Items with the Most Valuable Aspects Based on User ReviewsKonstantin Bauman, Bing Liu, Alexander Tuzhilin

10:30–10:45am - Coffee Break

10:45am–12:15pm SESSION 2A (Healthcare Analytics & Applications)Session Chair: Edward McFowland III

10:45am–12:15pm Session 2B (Business Data Science & Application)Session Chair: Junming Yin

To Predict or Not to Predict: The Case of Inpatient Admissions to the Emergency DepartmentSriram Somanchi, Idris Adjerid, Ralph Gross

Single Stage Prediction with Embedded Topic Modeling of Online Reviews for Mobile App ManagementYuan Cheng Shawn Mankad

Healthcare Fraud Detection at Physician Level Using Open DataLong Xia, Xuan Zhang, Brandon Fan, Weiguo Fan

From Multi-Class to Multi-Label: A Bayesian Approach to Annotation Aggregation in Crowdsourcing (Best Paper Nominee)Xuan Wei, Daniel Zeng, Junming Yin

Leveraging Similarity and Change Points for Patient Time Series Classification: The Case of Early ICU Mortality PredictionMohammad Morid, Olivia Sheng, Samir Abdelrahman

Carsharing Rental Business Site Selection Leveraging Multi-Source DataBowen Du, Shuo Lei, Wenjun Zhou, Chen Yang, Hui Xiong

Detecting Anomalous Patterns of Care using Health Insurance ClaimsSriram Somanchi, Edward McFowland III, Daniel Neill

Corporate Bankruptcy Prediction: A Penalized Semiparametric Index Hazard Model ApproachShaobo Li, Shaonan Tian, Yan Yu

LUNCH/ POSTER SLAM SESSION (343, Level 3 - 12:25–1:25pm)1. Confidence Sets for Split Points in Model-based Regression Trees

Suneel Babu Chatla, Galit Shmueli

2. Primary Tumor Classification of Medical Images using Deep Convolutional Neural Networks Mauro Damo, Wei Lin, Ronaldo Braga, William Schneider

3. A Uniqueness-Driven Clustering Algorithm and Its Application to Automated Identification of Local Competition Xin Ji, Yi-Lin Tsai, Adam Fleischhacker

4. Understanding Customers’ Product Upgrade Behavior—A Survival Analysis Approach Xinxue Qu, Aslan Lotfi, Zhengrui Jiang

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ENCE LUNCH/POSTER SLAM SESSION (Continued)

5. Using Engagement Data in Brand-Oriented Social Media Network to Identify Brand Similarity and Brand-to-Brand Relations Yu-Wei Lin, Wencui Han, Michael J. Shaw, Yi Yang, Kunpeng Zhang

6. Effective Training of Machine Learning Models for Natural Language Processing Based on Learning Theory Mathias Kraus, Stefan Feuerriegel, Dirk Neumann

7. Customer Selection and Acquisition Using Statistical Learning Xiaoping Liu, Xiaobai Li

8. How Much is the Value of a Genomic Test Information? Evidence from Post Cardiac Stent Care Decisions Kellas R. Cameron, Nachiketa Sahoo, Nitin Joglekar

9. Pareto Principle for Differential Privacy Hasan Kartal, Xiaobai Li

10. Big Data Location Analytics for Retail Site Selection and Optimization Karthik Babu Nattamai Kannan, Sridhar Narasimhan

DEANS PANEL ON DATA SCIENCE (343, Level 3 - 1:35–2:35pm)Moderator: Please refer to the attached workshop program for the correct information on deans panel.

Panelists: Paulo Goes, University of Arizona; Ramayya Krishnan, Carnegie Mellon University; Bruce Weber, University of Delaware; Qiang Ye, Harbin Institute of Technology

HILTON AMERICAS - 344, LEVEL 3 HILTON AMERICAS - 346, LEVEL 3

2:35–2:50pm - Coffee Break

2:50–4:20pmSESSION 3A (Network Data Science)Session Chair: Tomer Geva

2:50–4:20pmSESSION 3B (Business Data Science & Application)Session Chair: John Zhang

Forecasting Contagious Social Foci in Two-mode Social Networks (Best Paper Nominee)Zhepeng Li, Yong Ge, Bai Xue

Predicting Human Capital Flow With Inter-firm NetworkYuanyang Liu, Gautam Pant, Olivia Sheng

Utility-based Group Recommendation Considering Social InfluenceXiao Han, Leye Wang, Weiguo Fan

First, Do No Harm: Predictive Analytics for Risks of In-Hospital Adverse EventsYu-Kai Lin, Xiao Fang

Data-Driven Network Tie Selection for Node-Level PredictionTomer Geva, Inbal Yahav

Reciprocal Recommendation in Online Dating by Binary Matrix Completion with Data-Dependent Regularization (Best Paper Nominee)Qihang Lin, Xi Wang, Kang Zhao

Controlling for Latent Homophily in Social Networks through Inferring Latent LocationsCosma Shalizi, Edward McFowland III

The Phishing Funnel Model for Predicting User Susceptibility to Phishing WebsitesDavid Dobolyi, Ahmed Abbasi, Fatemeh Zahedi, Anthony Vance

PANEL: PUBLISHING DATA SCIENCE PAPERS IN IS JOURNALS: CHALLENGES & EDITORIAL ADVICE (343, Level 3 - 4:30–5:30pm)Moderator: Olivia Sheng, University of Utah

Panelists: Amit Basu, Southern Methodist University; Foster Provost, New York University; Arun Rai, Georgia State University; Alex Tuzhilin, New York University

RECEPTION (344, Level 3–5:30pm)