Session: Knowledge Base & Machine Learning Techniques
July 27, 2017(Thursday) 13:00-14:40, Location: Room D
Chair: Agnieszka Turek , Co-Chair: Thannob Aribarg

13:00 - 13:20 Application of Decision Trees in the Development of a Knowledge Base for a System of Support for Revitalization Processes
Agnieszka Turek
13:20 - 13:40 ABC Metaheuristic Based Optimized Adaptation Planning Logic for Decision Making Intelligent Agents in Self Adaptive Software System
Binu Rajan and Vinod Chandra
13:40 - 14:00 A Knowledge-based Framework for Mitigating Hydro-Meteorological Disasters
Pg Hj Asmali Pg Badarudin, Thien Wan Au and Somnuk Phon-Amnuaisuk
14:00 - 14:20 Spectral-Spatial Mineral Classification Of Lunar Surface Using Band Parameters With Active Learning
Sukanta Roy, Sujai Subbanna, Srinidhii Venkatesh Channagiri, Sharath R Raj and S N Omkar
14:20 - 14:40 Simulated Precipitation and Reservoir Inflow in the Chao Phraya River Basin by Multi-Model Ensemble CMIP3 & CMIP5
Thannob Aribarg and Seree Supratid

Session: Data Analysis
July 27, 2017(Thursday) 14:50-16:30, Location: Room D
Chair: Makoto Tsukai

14:50 - 15:10 Design of a Quality-Aware Data Capture System
Vasanth Kumar Mehta and Shubham Verma
15:10 - 15:30 Machine Learning in Data Lake for Combining Data Silos
Merlinda Wibowo, Sarina Sulaiman and Siti Mariyam Shamsuddin
15:30 - 15:50 Development of 3D Earth Visualization for Taiwan Ocean Environment Demonstration
Franco Lin, Wen-Yi Chang, Whey-Fone Tsai and Chien-Chou Shih
15:50 - 16:10 Exploring Potential Use of Mobile Phone Data Resource to Analyze Inter-Regional Travel Patterns in Japan
Canh Xuan Do and Makoto Tsukai

Session: Association Analysis
July 27, 2017(Thursday) 16:45-18:25, Location: Room D
Chair: Hung-Min Sun , Co-Chair: Toshiro Minami

16:45 - 17:05 A Process for Exploring Employees' Relationships via Social Network and Sentiment Analysis
Jeydels Barahona and Hung-Min Sun
17:05 - 17:25 Mining Relationship between User Purposes and Product Features towards Purpose-Oriented Recommendation
Sopheaktra Yong and Yasuhito Asano
17:25 - 17:45 Association Rule Mining in Healthcare Analytics
Anand Hareendran S and Vinodchandra S.S.
17:45 - 18:05 Does Student's Diligence to Study Relate to His/Her Academic Performance?
Toshiro Minami, Yoko Ohura and Kensuke Baba
Dongye Zha, Wei Qin, Jie Zhang and Zilong Zhuang

Session: Schedule and Sequence Analysis
July 28, 2017(Friday) 11:30-12:50, Location: Room D
Chair: Yihong Yuan , Co-Chair: Junghoon Lee

11:30 - 11:50 Modeling Inter-Country Connection from Geotagged News Reports: A Time-Series Analysis
Yihong Yuan
11:50 - 12:10 Mining Sequential Patterns of Students' Access on Learning Management System
Leonard Poon, Siu-Cheung Kong, Michael Wong and Thomas Yau
12:10 - 12:30 Design of a dynamic electricity trade scheduler based on genetic algorithms
Junghoon Lee
12:30 - 12:50 Increasing Coverage of Information Spreading in Social Networks with Supporting Seeding
Jaroslaw Jankowski and Radoslaw Michalski

Session: Data Mining
July 28, 2017(Friday) 11:30-13:10, Location: Room 1
Chair: Yenming J. Chen , Co-Chair: Jiwei Fei

11:30 - 11:50 L2 Learners' Proficiency Evaluation Using Statistics Based on Relationship among CEFR Rating Scales
Hajime Tsubaki
11:50 - 12:10 Research Hotspots and Trends in Data Mining: From 1993 to 2016
Zili Li and Zeng Li
12:10 - 12:30 Proposal for a New Reduct Method for Decision Tables and an Improved STRIM
Jiwei Fei, Tetsuro Saeki and Yuichi Kato
12:30 - 12:50 Post-marketing Drug Safety Evaluation using Data Mining Based on FAERS
Rui Duan, Xinyuan Zhang, Jingcheng Du, Jing Huang, Cui Tao and Yong Chen
12:50 - 13:10 Crowd density estimation from few RF tracking devices: I. Modelling Framework
Yenming J. Chen

Session: Big Data & Clustering
July 28, 2017(Friday) 14:00-15:40, Location: Room D
Chair: Shifei Ding , Co-Chair: Zili Li

14:00 - 14:20 Mapping Knowledge Domain Research in Big Data: From 2006 to 2016
Zeng Li, Zili Li, Tong Wu and LiXin Yang
14:20 - 14:40 Template based Industrial Big Data Information Extraction and Query System
Jie Wang, Yan Peng, Yun Lin and Kang Wang
14:40 - 15:00 A Solution for Mining Big Data Based on Distributed Data Streams and Its Classifying Algorithms
Guojun Mao and Jiewei Qiao
15:00 - 15:20 Comparative Study of Apache Spark MLlib Clustering Algorithms
Sasan Harifi, Ebrahim Byagowi and Madjid Khalilian
15:20 - 15:40 l-DP algorithm: a hybrid density peaks clustering
Mingjing Du and Shifei Ding

Session: Fuzzy Control & Text Mining
July 28, 2017(Friday) 16:00-18:00, Location: Room D
Chair: Tatiana Avdeenko , Co-Chair: Hongwei Xia

16:00 - 16:20 Improved Stability and Stabilization Criteria for T-S Fuzzy Systems with Distributed Time-Delay
Qianqian Ma, Hongwei Xia, Guangcheng Ma, Yong Xia and Chong Wang
16:20 - 16:40 Adaptive Neuro-Fuzzy Inference System: Overview, Strengths, Limitations, and Solutions
Noreen Talpur
16:40 - 17:00 Acquisition of Knowledge in the Form of Fuzzy Rules for Cases Classification
Tatiana Avdeenko and Ekaterina Makarova
17:00 - 17:20 Mining Textual Reviews with Hierarchical Latent Tree Analysis
Leonard Poon, Chun Fai Leung and Nevin L. Zhang
17:20 - 17:40 Extraction of Temporal Events from Clinical Text using Semi-Supervised Conditional Random Fields
Gandhimathi Moharasan and Tu-Bao Ho
17:40 - 18:00 Characteristics of language usage in inquires asked to an online help desk
Haruka Adachi and Mikito Toda

Session: Prediction & Deep Learning
July 29, 2017(Saturday) 09:00-10:40, Location: Room D
Chair: Ichise Ryutaro , Co-Chair: Sarina Sulaiman

09:00 - 09:20 Incremental Adaptive Time Series Prediction for Power Demand Forecasting
Petra Vrablecova, Viera Rozinajova and Anna Bou Ezzeddine
09:20 - 09:40 Food Sales Prediction with Meteorological Data -- A Case Study of a Japanese Chain Supermarket
Xin Liu and Ichise Ryutaro
09:40 - 10:00 Machine Learning Techniques for Prediction of Pre-fetched Objects in Handling Big Data Storage
Nur Syahela Hussien, Sarina Sulaiman and Siti Mariyam Shamsuddin
10:00 - 10:20 A Novel Diagnosis Method for SZ by Deep Neural Networks
Chen Qiao, Yan Shi, Bin Li and Tai An
10:20 - 10:40 A Novel Data-driven Fault Diagnosis Method Based on Deep Learning
Zhang Yuyan, Gao Liang, Li Xinyu and Li Peigen

Session: Classification
July 29, 2017(Saturday) 10:55-12:15, Location: Room D
Chair: Hsin-Hung Wu , Co-Chair: Ryoko Hayashi

10:55 - 11:15 LBP vs. LBP Variance for Texture Classification
Gerald Schaefer and Niraj Doshi
11:15 - 11:35 A Decision Tree Of Ignition Point For Simple Inflammable Chemical Compounds
Ryoko Hayashi
11:35 - 11:55 Learning Analytics for SNS-Integrated Virtual Learning Environment
Fang-Fang Chua, Chia-Ying Khor and Su-Cheng Haw
11:55 - 12:15 Analyzing Consumption Behaviors of Pet Owners in a Veterinary Hospital
Jo Ting Wei, Shih-Yen Lin, You-Zhen Yang and Hsin-Hung Wu

Special Session on "Big data and Financial Regulation"
July 29, 2017(Saturday) 09:00-11:55, Location: Room C
Chair: Dominique Guegan , Co-Chair: Bertrand Hassani

09:00 - 09:30 On the Governance of Blockchains without an Authority and under an Authority
Hitoshi Okada
09:30 - 10:00 Study on Risk Factors in Oil Futures Price Curves for Speculation and Hedging in the Short and Long-Term
Tomoko Matsui
10:00 - 10:30 The volatility memory gap between CBOE VIX, VIX futures and Realized Volatility
Oren Tapiero
10:30 - 10:55 coffee break
10:55 - 11:25 Regulatory Learning : what framework can be proposed to ensure that the financial environment can be controlled ?
Dominique Guegan
11:25 - 11:55 Regulatory Learning : Credit Scoring Application of Machine Learning
B. Hassani