Innovative analysis of a growing industry.

The Data Mining Iowa Group (DMIG) is an academic space for presenting, discussing, and improving cutting-edge research projects conducted by members and/or by leading experts in Data Mining, Information Systems, and Business Analytics. The research group is hosted by the Business Analytics Department and welcomes participation from students and faculty across the university.

Contact DMIG 

Fall 2020 Seminars

August 28th
12:30–2:00 p.m.
Zoom

Welcome/Logistics

September 4th
1:00–2:30 p.m.
Zoom

Ronilo Ragodos
Business Analytics
TOPIC: Interpretable Reinforcement Learning Agent Using Prototype Based Q-Learning

September 11st
12:30–2:00 p.m.
Zoom

John Rios
Business Analytics
TOPIC:
September 18th
12:30–2:00 p.m.
Zoom

Han Bao
Informatics
TOPIC:

September 25th
12:30–2:00 p.m.
Zoom
Xiangyu Wang
Informatics
TOPIC:
October 2nd
1:00–2:30 p.m.
Zoom
Yichen Ding
Business Analytics
TOPIC:
October 9th
12:30–2:00 p.m.
Zoom
Chengyue Huang
Business Analytics
TOPIC:
October 16th
12:30–2:00 p.m.
Zoom
Junho Yoon
Business Analytics
TOPIC:
October 23rd
12:30–2:00 p.m.
Zoom
Sulyun Lee
Informatics
TOPIC:
October 30th
12:30–2:00 p.m.
Zoom
Sadjad Anzabi Zadeh
Business Analytics
TOPIC:
November 6th
1:00–2:30 p.m.
Zoom
Nima Safaei
Business Analytics
TOPIC:
November 13rd
12:30–2:00 p.m.
Zoom
Shenghao Wang
Business Analytics
TOPIC:
November 20th
12:30–2:00 p.m.
Zoom
Naveenkumar Ramaraju
Business Analytics
TOPIC:
November 27th

Thanksgiving Break

December 4th
1:00–2:30 p.m.
Zoom
Ling Tong
Business Analytics
TOPIC:

 

Past Seminars

January 24th
12:30–2:00 p.m.
C320R PBB

Welcome/Logistics

January 31st
1:30–3:00 p.m.
C320R PBB

Dr. Xun Zhou
Business Analytics
TOPIC: Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach (Extended version is available here)

February 7th
12:30–2:00 p.m.
C320R PBB

Han Bao
Informatics
TOPICDeep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information

February 14th
1:30–3:00 p.m.
C320R PBB

Junho Yoon
Business Analytics
TOPIC: Differentiating buzzwords from innovations through the discovery of technology ecosystems

February 21st
12:30–2:00 p.m.
C320R PBB

Naveenkumar Ramaraju
Business Analytics
TOPIC: A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms

February 28th
12:30–2:00 p.m.
C320R PBB

John Rios
Business Analytics
TOPICPredicting Dynamic Embedding Trajectory in Temporal Interaction Networks

March 6th
12:30–2:00 p.m.
C320R PBB

Prof. Nick Street
Business Analytics
TOPIC: Inverse Classification: Better Algorithms for Better Decision Making

March 13th
1:30–3:00 p.m.
C320R PBB

Xiangyu Wang
Information Science
TOPICInvestigate Transitions into Drug Addiction through Text Mining of Reddit Data

March 20th

 

Spring Break

March 27th
12:30–2:00 p.m.
Zoom Meeting

Sadjad Anzabi Zadeh
Business Analytics
TOPIC: Bandits and Reinforcement Learning

April 3rd
2:00–3:30 p.m.
Zoom Meeting

Ling Tong
Business Analytics
TOPICSelf-supervised Visual Feature Learning with Deep Neural Networks: A Survey

April 10th
1:30–3:00 p.m.
Zoom Meeting

Maryam Rahmani Moghaddam
Business Analytics
TOPICDynamic Routing Between Capsules

April 17th
12:30–2:00 p.m.
Zoom Meeting

Nima Safaei
Business Analytics
TOPICDeepSOFA: A Continuous Acuity Score for Critically Ill Patients using Clinically Interpretable Deep Learning

April 24th
12:30–2:00 p.m.
Zoom Meeting

Sulyun Lee
Business Analytics
TOPIC:

May 1st
12:30–2:00 p.m.
Zoom Meeting

Shenghao Wang
Business Analytics
TOPIC:

May 8th End of Semester Party

August 30th
13:30–3:00 p.m.
C320R PBB

Welcome/Logistics

September 6th
13:30–3:00 p.m.
C320R PBB

Xiangyu Wang
Information Science
TOPIC:Are All Successful Communities Alike? Characterizing and Predicting the Success of Online Communities

September 13th
13:30–3:00 p.m.
C320R PBB

John Rios
Business Analytics
TOPIC:Using Supply Chain and Competition Networks to Predict Firm Performance

September 20th
13:30–3:00 p.m.
C320R PBB

Maryam Rahmani Moghaddam
Business Analytics
TOPIC: AENet: Learning Deep Audio Features for Video Analysis

September 27th
13:30–3:00 p.m.
C320R PBB

Yunyi Li
Information Science
TOPIC: Piano Model: EmPower Interpretable Archetype with Orthogonal black boxes

October 4th
13:30–3:00 p.m.
C320R PBB

Xinwei Chen / Sadjad Anzabi Zadeh
Applied Math / Business Analytics
TOPIC 1: Deep Q-Learning for Same-Day Delivery with a Heterogeneous Fleet of Vehicles and Drones
TOPIC 2: Optimal Warfarin Dosing using Deep Reinforcement Learning

October 11th
13:30–3:00 p.m.
C320R PBB

Xiangyu Wang / Yichen Ding / Hassan Rafiq
Information Science / Business Analytics / Applied Math
TOPIC 1: Predicting User Posting Activities in Online Health Communities with Deep Learning
TOPIC 2: Deep Learning with Interaction Terms: An Experimental Explorations
TOPIC 3: Model-Agnostic Linear Competitors - When Interpretable Models Compete and Collaborate with Black-box Models

October 18th
13:30–3:00 p.m.
C320R PBB

Sulyun Lee
Business Analytics 
TOPIC: Link Predictions For Social Networks in Online Health Communities

October 25th
13:30–3:00 p.m.
C320R PBB

Junho Yoon
Business Analytics 
TOPICIdentifying customer needs from user-generated content

November 1st
13:30–3:00 p.m.
C320R PBB

Sena Chae / Yichen Ding
College of Nursing / Business Analytics 
TOPIC 1: Prediction of cancer symptom trajectories using longitudinal EHR data and long-short term memory based algorithm
TOPIC 2: Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism

November 8th
13:30–3:00 p.m.
C320R PBB

Ling Tong
Business Analytics 
TOPICEstimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective

November 15th
13:30–3:00 p.m.
C320R PBB

Shenghao Wang
Business Analytics
TOPIC: Real-time Personalization using Embeddings for Search Ranking at Airbnb

November 29th
13:30–3:00 p.m.
C320R PBB

Thanksgiving Break

December 6th
13:30–3:00 p.m.
C320R PBB

John Rios
Business Analytics
TOPICTemporal Relational Ranking for Stock Prediction

January 18th
12:30–2:00p.m. C320R PBB

Welcome/Logistics

January 25th
12:25–1:25p.m.
C320R PBB

Runchao Ma
Business Analytics 
TOPICGenerative Adversarial Networks
Improved Training of Wasserstein GANs

February 1st
12:30–2:00p.m.
C320R PBB

Zhiya Zuo
Information Science
TOPIC:

February 8th
12:30–2:00p.m.
C320R PBB

Xiangyu Wang
Information Science
TOPIC: I Know You’ll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application

February 15th

Spring 2019 Informatics Day

February 22th
12:30–2:00p.m.
C320R PBB

Amin Vahedian / Yichen Ding
Business Analytics 
TOPIC: A Tutorial on LSTM Networks

March 1st
1:30–3:00p.m.
C320R PBB

Maryam Rahmani Moghaddam
Business Analytics 
TOPIC: DeepCrime: Attentive Hierarchical Recurrent Networks for Crime Prediction

March 8th
12:30–2:00p.m.
C320R PBB

Ling Tong
Business Analytics 
TOPICTieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays

March 15th
12:30–2:00p.m.
C320R PBB

Yichen Ding
Business Analytics 
TOPICYou Are How You Drive: Peer and Temporal-Aware Representation Learning for Driving Behavior Analysis

March 22nd

Spring Break

March 29th
12:30–2:00p.m.
C320R PBB

Sadjad Anzabi Zadeh
Business Analytics
TOPIC:The Voice of Optimization

April 5th       
1:30–3:00p.m.
C320R PBB

Shenghao Wang
Business Analytics 
TOPICStructural Deep Network Embedding

 

April 12th       
12:30–2:00p.m.
C320R PBB

Sena Chae
College of Nursing
TOPIC: Comparison of Groups with Different Patterns of Symptom Cluster Intensity across the Cancer Treatment Trajectory

 

April 19th       
12:30–2:00p.m.
C320R PBB

John Rios
Business Analytics 
TOPICGATED GRAPH SEQUENCE NEURAL NETWORKS 

 

April 26th       
12:30–2:00p.m.
C320R PBB

Junho Yoon
Business Analytics 
TOPICPredicting High-Cost Patients at Point of Admission Using Network Science

 

May 3th
1:30–3:00p.m.
C320R PBB

Ling Tong/Yichen Ding
Business Analytics 
TOPIC:

 

May 10th

End of the Semester Party

 

August 24th
12:30–2:30p.m.
C320R PBB

Barrett Thomas PhD
Business Analytics 
TOPIC: From Models to Methods: MDPs, ADP, and Reinforcement Learning

August 31st
1:30–3:00p.m.
C320R PBB

Yuanyang Liu
Business Analytics 
TOPIC: The Effect of Skilled Immigrants and IT Skills on Employee Retention

September 7th
1:00–2:30p.m.
C320R PBB

John Rios
Business Analytics 
TOPIC: Multi-relational Inter-firm Network Embedding for the Prediction of Stock Price Movements

September 14th
12:30–2:00p.m.
C320R PBB

Amin Vahedian
Business Analytics 
TOPIC: Mining Big Mobility Data for Large Urban Event Analytics

September 21st
1:30–2:20p.m.
C320R PBB

Maryam Rahmani Moghaddam
Business Analytics 
TOPIC: Multi-Frequency Convolutional LSTM for Crime Prediction

September 28th
2:00–3:30p.m.
C320R PBB

Sadjad Anzabi Zadeh
Business Analytics 
TOPICNew Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes

October 5th
12:30–2:30p.m.
C320R PBB

Yichen Ding
Business Analytics 
TOPICLearning to Navigate in Cities Without a Map

October 12th
1:30–3:00p.m.
C320R PB

Zhiya Zuo
Information Science
TOPIC: Systematic Investigation on Faculty Hiring

October 19th
12:30–2:00p.m.
C320R PBB

Kyle Peterson
Health Informatics
TOPIC: Belief Updating in the NCAA

October 26th
12:30–2:00p.m.
C320R PBB

Mike Lash (1st)/Yunyi Li (2nd)
Computer Science/Information Science
TOPIC (1st): Optimizing Patient Outcomes via Inverse Classification
TOPIC (2nd): Next Hit Predictor: Self-exciting Risk Modeling for Predicting Next Locations of Series Crimes

November 2nd

INFORMS Annual Meeting

November 9th
12:30–2:00p.m.
C320R PBB

Ronilo Ragodos
Math (AMCS)
TOPIC: Disjunctive Rule Lists for Interpretable Regression

November 16th
12:30–2:00p.m.
C320R PBB

Bhupesh Shetty
Business Analytics 
TOPIC: Process pattern mining: Identifying sources of assignable error using process event logs.

November 23rd

Thanksgiving Break

November 30th
12:30–2:00p.m.
C320R PBB

Yuanyang Liu
Business Analytics 
TOPIC: This presentation is a job talk practice

December 7th
1:30–3:00p.m.
C320R PBB

Ling Tong
Business Analytics 
TOPIC: Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models

November 14th
Room: TBD

End of the Semester Party