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 

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
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