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 Department of Management Sciences and welcomes participation from students and faculty across the university.

Contact DMIG 

Fall 2018

August 24th
12:30–2:30p.m.
C320R PBB

Barrett Thomas PhD
Management Sciences
TOPIC: From Models to Methods: MDPs, ADP, and Reinforcement Learning
August 31st
1:30–3:00p.m.
C320R PBB
Yuanyang Liu
Management Sciences
TOPIC: The Effect of Skilled Immigrants and IT Skills on Employee Retention

September 7th
1:00–2:30p.m.
C320R PBB

John Rios
Management Sciences
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
Management Sciences
TOPIC: Mining Big Mobility Data for Large Urban Event Analytics
September 21st
1:30–2:20p.m.
C320R PBB
Maryam Rahmani Moghaddam
Management Sciences
TOPIC: Multi-Frequency Convolutional LSTM for Crime Prediction
September 28th
2:00–3:30p.m.
C320R PBB
Sadjad Anzabi Zadeh
Management Sciences
TOPICNew Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes
October
5th
12:30–2:30p.m.
C320R PBB
Yichen Ding
Management Sciences
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
Management Sciences
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
Management Sciences
TOPIC: This presentation is a job talk practice
December
7th
1:30–3:00p.m.
C320R PBB
Ling Tong
Management Sciences
TOPIC: Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models
November
14th
Room: TBD
End of the Semester Party

 

Spring 2018

January 19th
12:30–2:00p.m.
S364 PBB

Welcome/Logistics
January 26th
12:30–2:00p.m.
S364 PBB

Yuanyang Liu and John Rios
Management Sciences
TOPIC: Tuitorial on Instrument Variables

February 2nd
1:30–2:00p.m.
C323 PBB

Kristina Bigsby
Information Science
TOPIC: Friends, Followers, and Football Or
(What I've Learned from Studying College Sports Recruiting on Social Media)

February 9th
12:00–1:30p.m.
C323 PBB

Xiangyu Wang
Information Science
TOPIC: Tracing the Use of Practices through Networks of Collaboration

February 16th
12:30–2:00p.m.
C323 PBB

Amin Vahedian
Management Sciences
TOPIC: Predicting Urban Disperal Events:
A Two-Stage Framework through Survival Analysis

February 23rd
12:30–2:00p.m.
C323 PBB

Buhpesh Shetty
Management Sciences
TOPIC: Process Pattern Mining: Identifying Sources of Assignable
Error Using Process Event Logs

March 2nd
1:30–2:30p.m.
C323 PBB

John Rios
Management Sciences
TOPIC: Learning Convolutional Neural Networks for Graphs

March 9th
12:30–2:00p.m.
C323 PBB

Zhiya Zuo
Information Science
TOPIC: Variational Inference and its Applications in Topic Modeling

March 23rd Spring 2018 Informatics Day
March 30th
12:00–1:30p.m.
C323 PBB
Ling Tong and Runchao Ma
Information Science/Management Siences
TOPIC: Deep Reinforcement Learning for Solving the Vehicle Routing Problem
 
April 6th       
1:30–2:30p.m.
C323 PBB

Apoorva Joshi
Electrical and Computer Engineering
TOPICA Trajectory-Based Approach to Predict Churn in Online Health Communities

April 13th       
12:30–2:00p.m.
C323 PBB
Yichen Ding
Management Sciences
TOPICModeling Trajectories with Recurrent Neural Networks
April 20th       
12:30–2:00p.m.
W307 PBB

Zhuoning Yuan
Computer Science
TOPICHetero-ConvLSTM: A Deep Learning Approach to Traffic Accident Prediction on Heterogeneous Spatio-Temporal Data

April 27th       
12:30–2:00p.m.
W307 PBB
Sadjad Anzabi
Management Sciences
TOPIC: Reinforcement Learning-based Control of Drug Dosing for Cancer Chemotherapy Treatment
May 4th
1:30–2:50p.m.
C125 PBB
Barrett Thomas PhD
Management Sciences

May 4th
Time and Room: TBD       

End of the Year Party