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 2019

January 18th
12:30–2:00p.m. C320R PBB

Welcome/Logistics
January 25th
12:25–1:25p.m.
C320R PBB

Runchao Ma
Management Sciences
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
Management Sciences
TOPIC: 

March 1st
1:30–3:00p.m.
C320R PBB

Maryam Rahmani Moghaddam
Management Sciences
TOPIC: 

March 8th
12:30–2:00p.m.
C320R PBB

Ling Tong
Management Sciences
TOPIC:

March 15th
12:30–2:00p.m.
C320R PBB

Yichen Ding
Management Sciences
TOPIC:

March 22nd Spring Break
March 29th
12:30–2:00p.m.
C320R PBB
Sena Chae
College of Nursing
TOPIC:
 
April 5th       
1:30–3:00p.m.
C320R PBB

Shenghao Wang
Management Sciences
TOPIC:

April 12th       
12:30–2:00p.m.
C320R PBB
Sadjad Anzabi Zadeh
Management Sciences
TOPIC:
April 19th       
12:30–2:00p.m.
C320R PBB

John Rios
Management Sciences
TOPIC:

April 26th       
12:30–2:00p.m.
C320R PBB
Yuanyang Liu
Management Sciences
TOPIC:
May 3th
1:30–3:00p.m.
C320R PBB
Junho Yoon
Management Sciences
TOPIC: