MORITA Hiroyuki

J-GLOBAL         Last updated: Oct 16, 2019 at 13:57
 
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Name
MORITA Hiroyuki
Affiliation
Osaka Prefecture University
Section
School of Economics Department of Business Administration
Job title
Professor
Degree
Master of Business Administration(*Kobe University of Commerce*)

Research Interests

 
 

Research Areas

 
 

Academic & Professional Experience

 
1997
   
 
- Osaka Prefecture University, Associate Professor
 

Education

 
 
 - 
1997
Graduate School, Division of Administration, Kobe University of Commerce
 
 
 - 
1992
Faculty of Commerce and Economics, Kobe University of Commerce
 

Published Papers

 
Hiroyuki Morita,Mizuki Sakai
Fuzzy Systems and Data Mining IV - Proceedings of FSDM 2018, Bangkok, Thailand, 16-19 November 2018.   629-635   2018   [Refereed]
Xavier Gandibleux,Hiroyuki Morita,Naoki Katoh
Computers & OR   79 291-303   2017   [Refereed]
Mao Nishiguchi,Hiroyuki Morita
JIKM   15(4) 1-19   2016   [Refereed]
Stephane Cheung,Yasuyuki Shirai,Hiroyuki Morita,Hiroyuki Takashima,Masakazu Nakamoto,Edward Hak-Sing Ip
49th Hawaii International Conference on System Sciences, HICSS 2016, Koloa, HI, USA, January 5-8, 2016   1557-1566   2016   [Refereed]
Classification Model Using Contrast Patterns and GRASP
Hiroyuki MORITA, Arthur MAHEO
Journal of Information Assurance and Security   9(5) 235-243   2014   [Refereed]
Stephane Cheung,Yasuyuki Shirai,Hiroyuki Morita,Masakazu Nakamoto
2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014   274-283   2014   [Refereed]
Y. Shirai, H. Morita, Masakazu Nakamoto, and Satoshi Oyama
Advances in Data Mining. Applications and Theoretical Aspects - 14th Industrial Conference, ICDM 2014, St. Petersburg, Russia, July 16-20, 2014. Proceedings   8557 100-114   2014   [Refereed]
H.Morita, Y.Hamuro
187-192   2013   [Refereed]
Hiroyuki Morita,Mao Nishiguchi
ICEIS 2013 - Proceedings of the 15th International Conference on Enterprise Information Systems, Volume 1, Angers, France, 4-7 July, 2013   334-339   2013   [Refereed]
A Sequential Pattern Analysis to Predict Brand Switching using Item Taxonomy
Hiroyuki Morita, Mao Nishiguchi
International Journal of Arts and Sciences   5(1) 443-450   2012   [Refereed]
Hiroyuki Morita,Masashi Kondo,Tomonori Ishigaki,Nagateru Araki,Yuji Nakayama
CSEDU 2010 - Proceedings of the Second International Conference on Computer Supported Education, Valencia, Spain, April 7-10, 2010 - Volume 2   177-180   2010   [Refereed]
Takanobu Nakahara,Hiroyuki Morita
Knowledge-Based and Intelligent Information and Engineering Systems, 13th International Conference, KES 2009, Santiago, Chile, September 28-30, 2009, Proceedings, Part II   259-269   2009   [Refereed]
Takanobu Nakahara,Hiroyuki Morita
Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 18-22 December 2006, Hong Kong, China   570-574   2006   [Refereed]
Xavier Gandibleux,Hiroyuki Morita,Naoki Katoh
Evolutionary Multi-Criterion Optimization, Second International Conference, EMO 2003, Faro, Portugal, April 8-11, 2003, Proceedings   43-57   2003   [Refereed]
Xavier Gandibleux,Hiroyuki Morita,Naoki Katoh
Evolutionary Multi-Criterion Optimization, First International Conference, EMO 2001, Zurich, Switzerland, March 7-9, 2001, Proceedings   429-442   2001   [Refereed]

Misc

 
佐々木誠治, 阿部蕉太, 高島悠佑, 石丸悠太郎, 薮内天貴, 金井宙斗, 川上広海, 後藤裕介, 森田裕之, 石原正彦, 白井康之
経営情報学会全国研究発表大会要旨集(Web)   2019 ROMBUNNO.1J1‐5(J‐STAGE)   Aug 2019
Sasaki Seiji, Ishihara Masahiko, Shirai Yasuyuki, Abe Shota, Takashima Yusuke, Ishimaru Yutaro, Yabuuchi Tenki, Kanai Hiroto, Kawakami Hiromi, Goto Yusuke, Morita Hiroyuki
Abstracts of Annual Conference of Japan Society for Management Information   201906(0) 101-104   2019
<p>In existing researches, the methods of measuring viewer loyalties for TV program were limited to grasping the viewing situation of the program at one point of the program unit. These methods cannot evaluate based on viewer tendency, viewing con...
黒川通典, 荒井秋恵, 黒川浩美, 森田裕之
日本未病システム学会雑誌   24(2) 62‐67   Aug 2018
後藤裕介, 森田裕之, 白井康之
日本経営工学会春季大会予稿集   2018 150‐151   May 2018
Hiroyuki Morita, Mizuki Sakai
Frontiers in Artificial Intelligence and Applications   309 629-635   Jan 2018
© 2018 The authors and IOS Press. All rights reserved. As IoT has been progressed, a lot of revolutions have been brought in various fields. Nowadays, Bluetooth Low Energy (BLE) beacons and smart devices are not so specific ones, but we can get co...
石丸悠太郎, 森田裕之
経営情報学会全国研究発表大会要旨集(Web)   2018(0) ROMBUNNO.1P1‐10(J‐STAGE)-143   2018
Analysis of ID-POS data has been used to support decision making such as sales promotion and product arrangement. However, it is difficult to grasp extent of customer's interest about products that were not purchased, and to identify that it is pl...
黒川 通典, 荒井 秋恵, 黒川 浩美, 森田 裕之
日本未病システム学会雑誌 = The journal of Japan Mibyo System Association   24(2) 62-67   2018
UENO Yasuhiro, MORITA Hiroyuki, KONDO Masashi
Transactions of the Academic Association for Organizational Science   7(2) 338-343   2018
<p>Many traditional industries have matured and declined. However, some companies have changed their business system and have survived for a long time. This paper investigates the business system and innovation of traditional industry. We specific...
西口浩司, 森田裕之
経営情報学会全国研究発表大会要旨集(Web)   2018(0) ROMBUNNO.1D2‐4(J‐STAGE)-84   2018
In retail and service industries, it is strategically important to identify a customer segment whose lifetime value (LTV) is higher, and to continue trading with them. However, it is not so easy because it is difficult to identify factors that are...
白井康之, 森田裕之, 後藤裕介
日本経営工学会春季大会予稿集   2017 154‐155   May 2017
Xavier Gandibleux, Hiroyuki Morita, Naoki Katoh
Computers and Operations Research   79 291-303   Mar 2017
© 2017 The paper presents a population-based algorithm for computing approximations of the efficient solution set for the linear assignment problem with two objectives. This is a multiobjective metaheuristic based on the intensive use of three ope...
白井康之, 森田裕之, 後藤裕介
オペレーションズ・リサーチ   62(2) 91‐99   Feb 2017
Morita Hiroyuki, Shirai Yasuyuki, Goto Yusuke
Abstracts of Annual Conference of Japan Society for Management Information   2017(0) 10-13   2017
Although there exist some big-data that are collected at reasonable cost easily, many other data take much cost to collect them. One of the latter cases includes historical purchasing and questionnaire data with IDs, simultaneously. For such case,...
Sakai Mizuki, Morita Hiroyuki
Abstracts of Annual Conference of Japan Society for Management Information   2017(0) 14-17   2017
To clarify consumer behavior in more detail, it is important to grasp customer interests in purchasing. To do so, it is useful to analyze both ID-POS data and the data of customer's moving log in store simultaneously, and it is needed that the log...
酒井瑞樹, 森田裕之
経営情報学会全国研究発表大会要旨集(Web)   2017 ROMBUNNO.C1‐2(J‐STAGE)   2017
森田裕之, 白井康之, 後藤裕介
経営情報学会全国研究発表大会要旨集(Web)   2017 ROMBUNNO.C1‐1(J‐STAGE)   2017
後藤裕介, 白井康之, 森田裕之
計測自動制御学会システム・情報部門学術講演会講演論文集(CD-ROM)   2016 ROMBUNNO.GS07‐9   Dec 2016
Mao Nishiguchi, Hiroyuki Morita
Journal of Information and Knowledge Management   15    Dec 2016
© 2016 World Scientific Publishing Co. In this paper, we propose a class predictive model for categorical data; this model uses the contrast patterns (CPs) that characteristically appear in a specific class. In a previous study, Morita and Nishigu...
森田裕之
オペレーションズ・リサーチ   61(10) 682‐683   Oct 2016
Stephane Cheung, Yasuyuki Shirai, Hiroyuki Morita, Hiroyuki Takashima, Masakazu Nakamoto, Edward Hak Sing Ip
Proceedings of the Annual Hawaii International Conference on System Sciences   2016-March 1557-1566   Mar 2016
© 2016 IEEE. This study investigates the dynamics of customers' buying behavior of a prominent lifestyle brand in Japan with an unique brand community. The analysis examines the lifestyle of its customers, from dimensions of customers' enthusiasm ...
白井康之, 森田裕之, CHEUNG Stephane, 中元政一, 高嶋宏之
オペレーションズ・リサーチ   61(2) 80-87   Feb 2016
Nishiguchi Koji, Morita Hiroyuki
Abstracts of Annual Conference of Japan Society for Management Information   2016(0) 71-74   2016
In a competitive market like mail order market, it is crucial for companies in the market to identify key factors that affect customer retention, and to make action plans based on the factors and the corporate strategy. Then, it is needed for data...
Sakai Mizuki, Morita Hiroyuki
Abstracts of Annual Conference of Japan Society for Management Information   2016(0) 53-56   2016
To implement an analysis of consumer behavior effectively, it is important to grasp customer interests in purchasing, and the reactions to sales promotion. So it is useful to analyze both ID-POS data and the data of customer's action log simultane...
酒井瑞樹, 森田裕之
経営情報学会全国研究発表大会要旨集(Web)   2016 ROMBUNNO.F1‐3(J‐STAGE)   2016
西口浩司, 森田裕之
経営情報学会全国研究発表大会要旨集(Web)   2016 ROMBUNNO.F1‐8(J‐STAGE)   2016
森田裕之
日本情報経営学会誌   36(2) 51-62   Dec 2015
中元政一, 高嶋宏之, CHEUNG Stephane, 白井康之, 森田裕之
経営システム   25(3) 164-170   Oct 2015
西口真央, 森田裕之
マーケティング・サイエンス   23(1) 90-91   Jul 2015
白井康之, 森田裕之, 中元政一, CHEUNG Stephane, 高嶋宏之
日本経営工学会春季大会予稿集   2015 12-13   May 2015
Stephane Cheung, Yasuyuki Shirai, Hiroyuki Morita, Masakazu Nakamoto
IEEE International Conference on Data Mining Workshops, ICDMW   2015-January 274-283   Jan 2015
© 2014 IEEE. This study cross examines consumers' diverse switching behavior in various product categories, by proposing the Purchase Preference Attenuation Curve to describe the changes in consumers' choice and purchase of frequently purchased it...
MORITA Hiroyuki
Journal of Information and Management   36(2) 51-62   2015
Recently, as many people require business applications for big-data, human resources who can perform data-mining enough, are needed. In order to develop such human resources, we have to provide practical data-mining education program. In the educa...
Nishiguchi Mao, Morita Hiroyuki, Sakai Mizuki, Kusumoto Hiroki
Abstracts of Annual Conference of Japan Society for Management Information   2015(0) 224-227   2015
It is needed to sustain hot-selling products for company which develops original products. To do so, it is important to grasp customer's reactions maintaining their own product philosophy, although customer's behaviors are so complicated. In this ...
西口真央, 森田裕之, 酒井瑞樹, 楠本広樹
経営情報学会全国研究発表大会要旨集(Web)   2015 K1‐13(J‐STAGE)   2015
森田裕之
日本情報経営学会全国大会予稿集   69th 87-90   Nov 2014
白井康之, 森田裕之, 中元政一, CHEUNG Stephane
日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集   2014 234-235   Aug 2014
Hiroyuki Morita, Arthur Mahéo
2013 3rd World Congress on Information and Communication Technologies, WICT 2013   147-153   May 2014
© 2013 IEEE. The volume of historical purchasing data has become huge, and it includes many kinds of data attributes. Specifically, categorical data, such as product codes, are difficult to handle. If the product is purchased repeatedly, we can ag...
白井康之, 森田裕之, 中元政一, 小山聡
オペレーションズ・リサーチ   59(2) 88-95   Feb 2014
Nishiguchi Mao, Morita Hiroyuki
Abstracts of Annual Conference of Japan Society for Management Information   2014(0) 105-108   2014
It's useful for thinking business applications to identify characteristic behaviors common in a customer class from access log data. An appropriate model to solving this problem is Classification by Aggregating Contrast Patterns(CACP). But this mo...
西口真央, 森田裕之
経営情報学会全国研究発表大会要旨集(Web)   2014 A1-8(J-STAGE)   2014
Hiroyuki Morita, Mao Nishiguchi
ICEIS 2013 - Proceedings of the 15th International Conference on Enterprise Information Systems   1 334-339   Nov 2013
A frequent pattern that occurs in a database can be an interesting explanatory variable. For instance, in market basket analysis, a frequent pattern is used as an association rule for historical purchasing data. Moreover, specific frequent pattern...
森田裕之, 西口真央
オペレーションズ・リサーチ   58(4) 212-218   Apr 2013
Morita Hiroyuki, Shirai Yasuyuki, Nakamoto Seiichi
Abstracts of Annual Conference of Japan Society for Management Information   2013(0) 329-332   2013
In this paper, we propose analysis method for historical purchasing data of a group buying coupon website. In the method, we define three kinds of diversification on purchasing coupons. They are expressed by using the concept of entropy. <br>In co...
森田裕之, 白井康之, 中元政一
経営情報学会全国研究発表大会要旨集(Web)   2013 D3-3 (WEB ONLY)   2013
森田裕之, 荒木長照, 近藤真司, 中山雄司, 樋口友紀
情報処理学会研究報告(CD-ROM)   2012(2) ROMBUNNO.IS-120,NO.6   Aug 2012
HAMURO Yukinobu, NAKAMOTO Masakazu, MORITA Hiyroyuki, Yukinobu Hamuro, Masakazu Nakamoto, Hiyroyuki Morita
人工知能学会誌 = Journal of Japanese Society for Artificial Intelligence   27(3) 261-270   May 2012
片岡弘貴, 森田裕之
オペレーションズ・リサーチ   57(2) 70-78   Feb 2012
西口真央, 森田裕之
オペレーションズ・リサーチ   57(2) 79-87   Feb 2012
森田裕之, 荒木長照, 近藤真司, 中山雄司, 樋口友紀
PC Conference論文集   2011 354-357   Aug 2011
Takanobu Nakahara, Hiroyuki Morita, Yukinobu Hamuro
Proceedings of the 11th IASTED International Conference on Artificial Intelligence and Applications, AIA 2011   177-184   Jun 2011
Recommender systems have become more important in terms of e-business. The rapid increase of information provided to customers has resulted in an information explosion. As a result, we have to provide customers with information that is really nece...
Kataoka Hiroki, MORITA Hiroyuki
Abstracts of Annual Conference of Japan Society for Management Information   2011(0) 78-78   2011
In this paper, we propose an unsupervised learning algorithm to predict an anomaly detection which loyal customers lose their loyalty. A flow of our method is that finds characteristic items for loyal customers, enumerates sequential item patterns...
NISHIGUCHI MAO, MORITA HIROYUKI
Abstracts of Annual Conference of Japan Society for Management Information   2011(0) 77-77   2011
Here we propose a predictive model that identifies customers who switches their brand loyalty. Our basic idea is that enumerates emerging sequential patterns and classifies customers by "CAESP". In our experiments, we select a target brand and its...
片岡弘貴, 森田裕之
経営情報学会全国研究発表大会要旨集(Web)   2011 F3-4 (WEB ONLY)   2011
西口真央, 森田裕之
経営情報学会全国研究発表大会要旨集(Web)   2011 F3-3 (WEB ONLY)   2011
中原孝信, 森田裕之, 羽室行信, 米田知弘
マーケティング・サイエンス   18(1) 77-78   Dec 2010
Hiroyuki Morita, Masashi Kondo, Tomonori Ishigaki, Nagateru Araki, Yuji Nakayama
CSEDU 2010 - 2nd International Conference on Computer Supported Education, Proceedings   2 177-180   Sep 2010
To provide effective data mining education, practical data, high-level mining tools supported by computer, and students' interests are essential factors. To provide such education, we incorporated data analysis competition into our data mining edu...
羽室行信, 岡田克彦, 森田裕之
日本オペレーションズ・リサーチ学会秋季研究発表会アブストラクト集   2010 128-129   2010
Takanobu Nakahara, Hiroyuki Morita
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   5712 LNAI 259-269   Dec 2009
Collaborative filtering is used for the prediction of user preferences in recommender systems, such as for recommending movies, music, or articles. This method has a good effect on a company's business. E-commerce companies such as Amazon and Netf...
Hiroyuki Morita, Takanobu Nakahara, Yukinobu Hamuro, Shoji Yamamoto
Digest of Technical Papers - IEEE International Conference on Consumer Electronics   858-860   Oct 2009
In the last ten years, studies that focus on the extraction of patterns among contrast classes and reveal the differences among these classes have been conducted. There exist two major streams in such studies, namely, emerging patterns (EPs) and c...
Hiroyuki Morita, Takanobu Nakahara
Lecture Notes in Economics and Mathematical Systems   618 135-144   Feb 2009
In data mining, graph mining is a promising new approach and some algorithms are proposed. However, their application is limited in the field of business. This is because of the wide diversity of business data. In this paper, we propose a method w...
中原孝信, 森田裕之, 羽室行信, 本橋信次
オペレーションズ・リサーチ   54(2) 65-72   Feb 2009
Hamuro Yukinobu, Morita Hiroyuki
Proceedings of the Conference of Transdisciplinary Federation of Science and Technology   2009(0) 105-105   2009
In this paper, we propose a new methodology to diffuse data mining technology developed by researcherswho belong to universities. In order to this, we need that universities redefine the software developmentas a research, and sophisticate the data...
羽室行信, 森田裕之
横幹連合コンファレンス(CD-ROM)   3rd ROMBUNNO.3A3-3   2009
中原孝信, 森田裕之, 米田知弘
オペレーションズ・リサーチ   53(2) 85-93   Feb 2008
Hamuro Yukinobu, Morita Hiroyuki, Katoh Naoki, MATSUDA Yasuyuki, NAKAMOTO Seiichi
Abstracts of Annual Conference of Japan Society for Management Information   2008(0) 114-114   2008
Progress of IT makes it possible to obtain and to accumulate a huge amount of business data easily and cheaply. According to this, it is getting more important to clean the data, to process them, and to discover a new chance and a new knowledge fr...
Nakahara Takanobu, Morita Hiroyuki
Abstracts of Annual Conference of Japan Society for Management Information   2008(0) 117-117   2008
Recommendation systems of items such as movie and music are valuable for e-commerce companies like Amazon and TSUTAYA. To provide good recommendations, collaborative filtering methods generally need rating score for items. It is usually difficult ...
中原孝信, 森田裕之
オペレーションズ・リサーチ   52(2) 79-86   Feb 2007
Nakahara Takanobu, Morita Hiroyuki, Yoneda Tomohiro
Abstracts of Annual Conference of Japan Society for Management Information   2007(0) 47-47   2007
In recent years, e-commerce users have increased rapidly with an increase in Internet users. Therefore, the Internet has become an important marketing tool for companies. Website design and Web browsing analysis are very important to attract users...
MORITA Hiroyuki, ISHIGAKI Tomonori, NAKAHARA Takanobu
Abstracts of Annual Conference of Japan Society for Management Information   2007(0) 50-50   2007
Sales promotion based on cash discounts is one of the important marketing tools for retail stores. The progress of IT has enabled easy accumulation of POS data. However, it is difficult to estimate the effects. Because the number of items handled ...
Takanobu Nakahara, Hiroyuki Morita
Proceedings - IEEE International Conference on Data Mining, ICDM   570-574   Dec 2006
In this paper, we propose a pattern mining method using POS data. Firstly, we transform raw POS data into tree structured data, extract some promising patterns from it by using a multiobjective evolutionary algorithm (MOEA), and construct a decisi...
米田知弘, 森田裕之
オペレーションズ・リサーチ   51(2) 97-103   Feb 2006
中原孝信, 森田裕之
オペレーションズ・リサーチ   51(2) 89-96   Feb 2006
Nakahara Takanobu, Morita Hiroyuki
Abstracts of Annual Conference of Japan Society for Management Information   2006(0) 6-6   2006
In this paper, we propose an application of graph partitioning problem to the POS data. Graph partitioning problem is used in the design of VSLI or some network problems mainly, but the application to business data is few. Firstly, we transform P...
Morita Hiroyuki, Nakahara Takanobu
Abstracts of Annual Conference of Japan Society for Management Information   2006(0) 7-7   2006
Retailers have to implement price discount in order to increase their sales amount or gross profit efficiently. However, it is difficult to optimize their price discount, because there are so many items, which they provide, the effect of price dis...
Fujii Aogu, Morita Hiroyuki
Abstracts of Annual Conference of Japan Society for Management Information   2006(0) 8-8   2006
The sales amount of music CDs has been decreasing in order to the diversification of market channels at a CD shops. It is important for them to keep loyal customers by using CRM in the long term. In this paper, we propose a model that classifies c...

Conference Activities & Talks

 
Application of Hidden Markov Model to Analyze Enthusiast's Dynamics of A Lifestyle Brand
Stephane Cheung, Y. Shirai, H. Morita, Hiroyuki Takashima, Masakazu Nakamoto and Edward Hak-Sing Ip
The Hawaii International Conference on System Sciences   Jan 2016   
Understanding Changes in Customer Purchase Behavior: Study of Attenuation Model for Multiparametric Purchase Preferences
Stephane Cheung, Y. Shirai, H. Morita, and Masakazu Nakamoto
IEEE International Workshop on Data Mining for Service (DMS2014) (in conjunction with The 2014 IEEE International Conference on Data Mining (ICDM 2014))   Dec 2014   

Works

 
A study on Evolutionary Algorithms for Multiobjective Optimization Problems
1997
A study on Electronic Commerce
2001

Research Grants & Projects

 
A study on genetic algorithms for multiobjective combinatorial optimization problems
A study on Executive Information Systems
A study on Multiobjective Optimization Problems
A study on Datamining