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Program for stream Machine Learning, Data Mining and Analytics (contributed)
Monday
Tuesday
Tuesday, 10:00-11:40
TB-08: Machine Learning, Data Mining and Analytics 3
Stream: Machine Learning, Data Mining and Analytics (contributed)
Room: Room 8
Chair(s):
Yuichi Takano
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Analysis of changes in the daily smartphone usage during the COVID-19 pandemic period
Yuxuan Yang, Maiko Shigeno -
Auxiliary Information Based Disease Topic Mining for Hierarchical Clustering of Electronic Health Records
Wei Lu, Dinghao Xue -
An estimation method of the presence and absence of humans indoor based on RSSI
Yuichi Takano, Takahiro Nishigaki, Takashi Onoda
Tuesday, 14:00-15:40
TD-07: Machine Learning, Data Mining and Analytics 2
Stream: Machine Learning, Data Mining and Analytics (contributed)
Room: Room 7
Chair(s):
Małgorzata Wrzosek
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Experimental evaluation of the performance of some features selection algorithms on different machine learning methods
Thibault Agondja, François Delbot, Jean-François PRADAT-PEYRE -
Determining the best set of Molecular Descriptors for a Toxicity Classification Problem
Badri Toppur, Jaims KJ -
Integrating Predictive and Prescriptive Analytics to Make Better Business Decisions
Francis Miranda -
Application of data mining methods in identification of the skills indicators of people active in the labor market
Małgorzata Wrzosek
Wednesday
Wednesday, 10:00-11:40
WB-08: Machine Learning, Data Mining and Analytics 1
Stream: Machine Learning, Data Mining and Analytics (contributed)
Room: Room 8
Chair(s):
Yan Xu
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A Classification Model for Predicting Employee Historical Records: A Case Study in Data Migration
Raymond Freth Lagria -
Machine Learning, Logit and Structure: Analyses including Noncompensatory Linear Models
Steven Shugan -
A Wisdom of Crowds Approach for Enhancing Object Detection Capabilities
Romena Yasmin, Joshua Grassel, Adolfo R. Escobedo -
Novel Optimization Methods for Deep Learning
Yan Xu
Wednesday, 12:00-13:40
WC-06: Machine Learning, Data Mining and Analytics 4
Stream: Machine Learning, Data Mining and Analytics (contributed)
Room: Room 6
Chair(s):
Sunung Kim
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A reinforcement learning approach for a multi-item inventory control problem with a budget constraint
Daiki Min, XIA JIUN LAU, Nahee Park -
Theory of Simplicies Coveredness and Space Complex: Topological Data Clustering via Defining Persistent Interval
Jung Taekgeun, Hong Seo Ryoo -
Logical Analysis of Sociological Data: Case Study of ‘Participatory Surveys for Public Deliberation on Shin-Gori Nuclear Reactors No. 5 & 6’
Sunung Kim, Hong Seo Ryoo