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    (Last updated : 2019-10-16 03:30:13)
  CLASTER William B.
   Department   College of International Management
   Position   Professor
■ Education
1. 2012/03/31
Degree Acquisition
Ritsumeikan University,
2. 2008/06~2012/03 〔Doctoral course〕, *, Asia Pacific Studies, Completed
3. 1990/09 〔Master degree program〕, University of Pennsylvania Moore School of Engineering, Unfinished course
■ Academic and professional experience
1. 2000/02~2002/06 KK Ablecommerce Japan Director
■ Books and theses
1. 2008/01 Article Text Mining of Medical Records for Radiodiagnostic Decision-Making, Journal of computers Vol. 3 No.1 January 2008, 3(1),pp.6 (Collaboration) 
2. 2011/09 Article A Machine-Learning Algorithm for Wind Gust Prediction Journal of Computers and the Geosciences, Elsevier Press 37(9),pp.1337-1344 (Collaboration) 
3. 2009/01 Article Increased Risk of Rickets among Infants Raised in the Uzbek Cradle, Beshik, Journal of Acta Medica Nagasakiensia  (Collaboration) 
4. 2013/12 Article The Impact of Technology Innovativeness on Four and Five Star Hotels in Switzerland Journal of Hospitality and Tourism (JOHAT) Volume 11 Number 1, 2013, ISSN : 0972-7787 11(1),pp.1-18 (Collaboration) 
5. 2007/12 Article Statistical Methods in Ecological Dynamics Modelling. Eds., Oxley, L. and Kulasiri, D., MODSIM 2007. Proceedings of the International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, December 2007, ISBN : 978-0-9758400-4-7. pp. 2967-2973. www.mssanz.org.au/MODSIM07/papers/53_s52/StatisticalMethods52_Shammuganathan_.pdf  (Collaboration) 
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■ Conference presentations
1. 2018/09/12 LESSONS LEARNED IN LAUNCHING A PILOT BUSINESS ANALYTICS UNDERGRADUATE PROGRAM (11th Annual Conference of the EuroMed Academy of Business (EMAB))
2. 2015/09/25 THE LINK BETWEEN SOCIAL SENTIMENT OF CURRENCY VALUE AND TOURISM BEHAVIOR: A CASE OF THE RUBBLE CRISIS (EUROMED 2015)
3. 2013/09/23 “Social Media, Predictive Analytics and Tourism” (The EuroMed Academy of Business, 6th Annual EuroMed Conference - Confronting Contemporary Business Challenges through Management Innovation)
4. 2013/08/22 The Canary in The Room: The Predictive Value Of Social Media For Hospitality And Tourism Stocks (International Colloquium on Tourism & Leisure)
5. 2011/07/01 Ascertaining tourism in Sri Lanka through the social media lens. (Presentation to the Ministry of Tourism)
■ Research topic, funded research and KAKENHI
1. 2017  AACSB Business Analytics Program Initiation. AACSBビジネス分析プログラムの開始  (Key Word : 教育、ビジネスアナリティクス、AACSB)
2. 2014~2015  APU Subsidy: Forecasting Hotel Occupancy Rates with traditional methods supplemented with social media data.  (Key Word : )
3. 2011~2014  Equity forecasts using a combination of tradition methods and data mining and social media  (Key Word : Stocks, Social Media, Time Series)
4. 2010  Analysis of social media data to understand trends in tourism  (Key Word : Tourism, informatics, sentiment mining, text mining.)
5. 2010~2010  APU Research Subsidy for Mining Social Media for Tourism Sentiment  (Key Word : )
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■ Awards and honors
1. 2012/03 APU Award for Outstanding Service in the Field of Research
■ Educational ability
● Practice example of education method
1. 2013/01/01 Data Mining in Action: a novel method for assigning group projects to students
2. 2012/10~2013/03 Conducting initial student on feasibility of circumventing need for in class "clicker" technology.
3. 2010/01/01 Production and online publication of more than 300 videos for improved learning
● Made textbook and teaching material
1. 2017/11/01 Case Study Development: LESSONS LEARNED IN LAUNCHING A PILOT BUSINESS ANALYTICS UNDERGRADUATE PROGRAM
2. 2017/10/01 Author (in progress) Math for Data Science and Deep Learning with R -Springer Publications
● Matter that should be mentioned specially in others educational activity
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■ Committee and society
1. AACSB committee member
2. Mathematics Cluster Leader
■ Exhibitions, concerts, and competitions
1. 2014/06/30~2015/03/30 SOLR INDEXING (Japan)
2. 2009/10/30~2013/03/31 Corpus of blogs currently with 800 million entries (Japan)