ICDATA'19 Schedule - Tuesday, July 30

by admin last modified Jul 24, 2019 10:32 PM

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07:00a - 05:00p: REGISTRATION
(LOCATION: Lotus Ballrooms 1-2; Registration Counter/Desk)


SESSION 2-ICDATA: CLUSTERING, ASSOCIATION + WEB / TEXT / MULTIMEDIA MINING
Chairs: Dr. Diego Galar*, Dr. Peter Geczy**,
Dr. Robert Stahlbock***, Dr. Gary M. Weiss****
* Lulea University of Technology, Sweden;
** National Institute of Advanced Industrial
Science and Technology (AIST), Japan
*** University of Hamburg, Germany;
****Fordham University, New York, USA
July 30, 2019 (Tuesday); 08:20am - 10:20am
(LOCATION: Galleria B)

08:20 - 08:40am: Consistency Constraints for Overlapping Data Clustering
Peter Stiller*, Jared Culbertson, Dan Guralnk, Jakob Hansen
Texas A&M University, College Station, Texas, USA

08:40 - 09:00am: The Sequence Prediction Model of Latent Variable
Conditional Random Fields
Jimmy Ming-Tai Wu, Jerry Chun-Wei Lin, Yinan Shao, and
Matin Pirouz
Shandong University of Science and Technology, China

09:00 - 09:20am: A Neural-Encoded Mention-Hypergraph Model for Mention
Recognition
Jerry Chun-Wei Lin, Jimmy Ming-Tai Wu, Yinan Shao, and
Matin Pirouz
Western Norway University of Applied Sciences, Norway

09:20 - 09:40am: Twitter Streaming API Data Collection for Infrequent
Keywords
Traian Marius Truta, Alina Campan, Parker Kain,
Tobel Atnafu, Joseph Nolan, Alyssa Appelman
Northern Kentucky University, USA

09:40 - 10:00am: Graph Based Version for Clustering Texts in Current Affair
Domain
Taeho Jo
School of Game, Hongik University, Korea

10:00 - 10:20am: Data Quality Assessment and Problem Severity Assessment
for Data Cleaning
Hong Liu*, Jongyeop Kim
Indiana University, USA

10:20 - 10:40am: BREAK


SESSION 3-ICDATA: CLASSIFICATION (Part I)
Chairs: Dr. Robert Stahlbock* and Dr. Gary M. Weiss**
* University of Hamburg, Germany;
**Fordham University, New York, USA
July 30, 2019 (Tuesday); 10:40am - 12:20pm
(LOCATION: Galleria B)

10:40 - 11:00am: Application of Artificial Neural Network on Speech Signal
Features for Parkinson's Disease Classification
John Wu*, Xin Ye, Shaun-Inn Wu
California State University San Marcos, California, USA

11:00 - 11:20am: Fine-Tuning Naive Bayes for Imbalanced Datasets
Fahad Alenezi*, Khalil El Hindi, Basil AsSadhan
King Saud Univeristy, SA

11:20 - 11:40am: Identifying Classification Algorithms Most Suitable for
Imbalanced Data
Ray Tischio*, Gary Weiss
Fordham University, Bronx, New York, USA

11:40 - 12:00pm: A Random Under-sampled Deep Architecture with Medical Event
Embedding: Highly Imbalanced Rare Disease Classification
with EHR Data
Yan Hu*, Feng Chen, Yong Cai, Yilian Yuan
State University of New York at Albany, New York, USA

12:00 - 12:20pm: Analysis of Binary Classification Metrics Using Empirical
Distributions of Prediction Scores
Andrei Chtcheprov, Srinivas Krovvidy, Hernando Vera
Fannie Mae, Reston, Virginia, USA

12:20 - 01:20pm: LUNCH (On Your Own)


SESSION 4-ICDATA: CLASSIFICATION (Part II) + DATA SCIENCE
Chairs: Dr. Robert Stahlbock* and Dr. Gary M. Weiss**
* University of Hamburg, Germany;
**Fordham University, New York, USA
July 30, 2019 (Tuesday); 01:20pm - 03:00pm
(LOCATION: Galleria B)

01:20 - 01:40pm: Parameter Optimization of RBF Kernel SVM from miniCV
Li-Chia Yeh*, Chung-Chin Lu
National Tsing Hua University, Taiwan

01:40 - 02:00pm: A Prediction Model for Backpack Programs
Derrick Black, Liping Liu, Seongtae Kim, Lauren Davis
North Carolina A&T State University, North Carolina, USA

02:00 - 02:20pm: Predictive Modeling of Unbalanced Binary Outcome in Food
Insecurity Data
Seong-Tae Kim*, Lauren Davis, Jonathan Fabish
North Carolina A&T State University, North Carolina, USA

02:20 - 02:40pm: Feature Extraction through Deepwalk on Weighted Graph
Jayesh Soni, Nagarajan Prabakar, Himanshu Upadhyay
Florida International University, Florida, USA

02:40 - 03:00pm: Cloud Based Big Data Infrastructure Platforms and Tools
for Data Analytics in the Data Science Curriculum
Yuri Demchenko*, Oleg Chertov
University of Amsterdam, Netherlands

03:00 - 03:40pm: POSTER DISCUSSION SESSION B-ICDATA
July 30, 2018 (Tuesday)
(LOCATION: Lotus Ballrooms 1-2)

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03:40 - 05:40pm: TUTORIAL
DEVELOPING DATA SCIENCE & ANALYTICS RELATED COMPETENCES &
PROFESSIONAL SKILLS: PRACTICAL RECOMMENDATIONS TO DATA
SCIENCE JOB SEEKERS, EDUCATOR & TEAM MANAGERS
Speaker: Dr. Yuri Demchenko
University of Amsterdam, The Netherlands
(LOCATION: Galleria B)


05:40 - 06:00pm: BREAK


06:00 - 08:00pm: TUTORIAL
WHAT'S YOURS IS MINE: HOW MODERN ATTACKERS ARE STEALING
YOUR DATA
Speaker: Andrew Johnston
Mandiant (Consultant)
(LOCATION: Galleria B)