Faculty Introduction Ja

NIIMI, Ayahiko

Professor

Message for Students

Try to analyze dataset together!

Research Contents

Interests: Data Mining, Database, Artificial Intelligence

Attractive Factors of My Research

To think the methods of analysis for a variety of data, is fun.

Achievements

Reward

  • December, 2010 : Incentive Award at the General Software Contest Session (Fourth International Workshop on Computational Intelligence & Applications
  • WorldCIS-2016 Best Papre Award, 2016.
  • WorldCIS-2018 Best Papre Award, 2018.
  • General Vice-Chair, World Congress on Internet Security (WorldCIS-2012) , Guelph, Ontario, Canada , 2012
  • General Chair, World Congress on Internet Security (WorldCIS-2013) , London, UK , 2013
  • Part-time lecturer(National Institute of Technology, Hakodate College): Automaton (2015.04-2016.03)
  • Overseas Training for the Faculty Members(Short-term overseas training): Collaborative research in University Of Guelph, Canada (2012.09-2013.03)

Major Books and Papers

*Journals

  • Ayahiko Niimi, Hiroshi Shimada, Rika Goto, Masaaki Wada, Kei Ito, Osamu Konishi: Peer-to-peer Sensor Data Mining System for School Temperature Measurement System. Artificial Life and Robotics, Vol.12, No.1-2:pp.161-166, 2008
  • Ayahiko Niimi, Masaaki Wada, Kei Ito, Masashi Toda, Katsumori Hatanaka, Osamu Konishi: Broiler-House Environment Monitoring System using Sensor Network and Mail Delivery System. Artificial Life and Robotics, Vol.13, No.1:pp.264-270, 2008
  • Takehiro Yamaguchi, Ayahiko Niimi: Extraction of Community Transition Rules from Data Streams as Large Graph Sequence. Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol.15, No.8: pp.1073-1081, 2011
  • Tatsuya Minegishi, Ayahiko Niimi: Proposal of Credit Card Fraudulent Use Detection by Online-type Decision Tree Construction and Verification of Generality. International Journal for Information Security Research (IJISR), Volume 1, Issue 1:pp.229-235, 2013
  • Ayahiko Niimi, Masato Ikeda: Three Different Approaches for Fast Implementation of Deep Learning for Time Series Data, International Journal for Information Security Research (IJISR), Volume 6 Issue 4, ISSN 2042-4639 (Online), 2016
  • Ayahiko Niimi, Masato Ikeda: Majority Rule Approach of Deep Learning for Time Series Data, International Journal for Information Security Research (IJISR), Volume 6 Issue 3, pp.677 – Ayahiko Niimi: Majority Rule Approach to Deep Learning for Large Benchmark Data and Real Credit Card Transaction Data, Journal of Internet Technology and Secured Transaction (JITST), Vol6, Issue 1, pp.541-547, 2018
  • Ayahiko Niimi: Data Anonymization Using Imbalanced Data for Deep Learning with Uppersampling and Undersampling. International Journal of Intelligent Computing Research, Volume 10, Issue 1, pp.971-876, 2019.
  • Ayahiko Niimi, Koki Takahata: Attack Detection Approach by Packet Analysis Using Online Learning with Kernel Method and Correlation Change Method. International Journal of Intelligent Computing Research (IJICR), Volume 11, Issue 1, pp.1033-1040, 2020.
  • Ayahiko Niimi, Takahiro Arakawa: Privacy-Preserving Data Mining Metrics for Social Networking Services. International Journal for Digital Society (IJDS), Volume 12, Issue 1, pp.1672 – 1677, 2021.

*International Conferences

  • Ayahiko Niimi, Masaaki Wada, Kei Ito, Katsumori Hatanaka, Osamu Konishi: Broiler-House Environment Monitoring System using Sensor Network and Mail Delivery System. International Symposium on Artificial Life and Robotics (AROB 13th ’08), Beppu, Oita, Japan: 6pages (in CD-ROM), 2008.
  • Ayahiko Niimi, Yusako Saito, Osamu Konishi: Summary of Web News based on Relation between Articles and Identity Frequency of Contents. Joint 4th International Conference on Soft Computing and Intelligent Systems and 9th International Symposium on advanced Intelligent Systems (SCIS&ISIS 2008), Nagoya, Japan:7pages (in CD-ROM), 2008.
  • Ayahiko Niimi, Yusako Saito, Osamu Konishi: News summary system for Web news site. 4th International Workshop on Computational Intelligence and Applications 2008 (IWCIA 2008), Hiroshima, Hiroshima, Japan, IEEE Systems, Man & Cybernetics Society, ISSN 1883-3977: pp.155-156, 2008.
  • Ayahiko Niimi, Yusako Saito, Osamu Konishi: Web News Summary System with Clustering Algorithm to Identify Same Article. International Symposium on Artificial Life and Robotics (AROB 14th ’09), Beppu, Oita, Japan: 5pages (in CD-ROM), 2009.
  • Takehiro Yamaguchi, Ayahiko Niimi: Community Graph Sequence with Sequence Data of Network Structured Data. 5th International Workshop on Computational Intelligence and Applications 2009 (IWCIA 2009), Hiroshima, Hiroshima, Japan, IEEE Systems, Man & Cybernetics Society, ISSN 1883-3977: pp.196-201, 2009.
  • Masayuki Ise, Ayahiko Niimi, Osamu Konishi: Feature Selection in Large Scale Data Stream for Credit Card Fraud Detection. 5th International Workshop on Computational Intelligence and Applications 2009 (IWCIA 2009), Hiroshima, Hiroshima, Japan, IEEE Systems, Man & Cybernetics Society, ISSN 1883-3977: pp.202-207, 2009.
  • Tatsuya Minegishi, Masayuki Ise, Ayahiko Niimi, Osamu Konishi: Extension of Decision Tree Algorithm for Stream Data Mining Using Real Data. 5th International Workshop on Computational Intelligence and Applications 2009 (IWCIA 2009), Hiroshima, Hiroshima, Japan, IEEE Systems, Man & Cybernetics Society, ISSN 1883-3977: pp.208-212, 2009.
  • Ayahiko Niimi, Takehiro Yamaguchi, Osamu Konishi: Parallel Computing Method of Extraction of Frequent Occurrence Pattern of Sea Surface Temperature from Satellite Data. International Symposium on Artificial Life and Robotics (AROB 15th ’10), Beppu, Oita, Japan: 4pages (in CD-ROM), 2010.
  • Daisuke Yamaguchi, Ayahiko Niimi, Muneo Takahashi: Improvement of a Software Estimate Efficiency Centered PSP Parctice Support System Using Multiagent Techniques. International Symposium on Artificial Life and Robotics (AROB 15th ’10), Beppu, Oita, Japan: 4pages (in CD-ROM), 2010.
  • Takehiro Yamaguchi, Ayahiko Niimi: Time-Series Analysis of Communities using Adaptive Graph Kernels in Data Streams. 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2010), Okayama, Japan, TH-A4-5: pp.355-360, 2010.
  • Ayahiko Niimi, Kei Ito: Development of Practice Support System for System Administration based on Automatic Check Modules. 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2010), Okayama, Japan, SA-C5-2: pp.1423-1428, 2010.
  • Ayahiko Niimi, Takehiro Yamaguchi, and Osamu Konishi: Two-level time-series clustering for satellite data analysis. International Symposium on Artificial Life and Robotics (AROB 16th ’11), Beppu, Oita, Japan, OS18-1: 4pages (in CD-ROM), 2011.
  • Daisuke Yamaguchi, Ayahiko Niimi, Fumiyo Katayama, Muneo Takahashi: PSP practice support system using defect types based on phenomenon. International Symposium on Artificial Life and Robotics (AROB 16th ’11), Beppu, Oita, Japan, OS18-2: 4pages (in CD-ROM), 2011.
  • Tatsuya Minegishi, Ayahiko Niimi: Detection of Fraud Use of Credit Card by Extended VFDT. World Congress on Internet Security (WorldCIS-2011), London, UK, pp.166-173, 2011.
  • Ayahiko Niimi, Osamu Konishi: Social Bookmark Data Mining Using Extended Graph Kernel. The Eleventh International Workshop on Multimedia Data Mining (MDMKDD 2011) ,The 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2011), San Diego, CA, USA: 8pages (in CD-ROM), 2011
  • Takehiro Yamaguchi, Ayahiko Niimi: Extraction of Community Transition Rules from Social Bookmark Data as Graph Sequence. 2011 IEEE International Conference on Systems, Man, and Cybernetics, Anchorage, Alaska, USA, W.SPS.C12: 8pages (in CD-ROM), 2011
  • Kei Ito, Tomoki Sato, Ayahiko Niimi: Self-learning support system to increase motivation for learning. International Symposium on Artificial Life and Robotics (AROB 17th ’12), Beppu, Oita, Japan, OS10-2: 4pages (in CD-ROM), 2012.
  • Daisuke Yamaguchi, Ayahiko Niimi: The PSP low layer practice support used on the android personal digital assistant. International Symposium on Artificial Life and Robotics (AROB 17th ’12), Beppu, Oita, Japan, OS9-1: 4pages (in CD-ROM), 2012.
  • Ayahiko Niimi: Deep Learning for Credit Card Data Analysis. World Congress on Internet Security (WorldCIS-2015), Dublin, Ireland, pp.73-77, 2015.
  • Ryota Takei, Ayahiko Niimi: Performance of Graph Reconstruction Method for Large-Scale Web Graph Analysis. 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, 3pages(P227), pp.2587-2589, 2015.
  • Ryota Takei, Ayahiko Niimi: Large Graph Reconstruction Method for Fast Graph Analysis on Spark. Joint 8th International Conference on Soft Computing and Intelligent Systems and 17th International Symposium on Advanced Intelligent Systems (SCIS&ISIS2016), pp.898-901, 2016.
  • Ayahiko Niimi, Masato Ikeda: Three Different Approaches for Fast Implementation of Deep Learning for Time Series Data. World Congress on Internet Security (WorldCIS-2016), London, UK, 5pages, 2016.
  • Ayahiko Niimi: Deep Learning with Large Scale Dataset for Credit Card Data Analysis. Fuzzy Systems and Data Mining II, Proceedings of FSDM 2016, Macau, pp.149-158, ISO Press, 2016.
  • Ayahiko Niimi, Kousuke Sakamoto: Accelerated Bayesian Optimization For Deep Learning. 6th International Conference on Advanced Information Technologies and Applications (ICAITA 2017), Sydney, Australia, pp.1-13 ,2017.
  • Ayahiko Niimi: Deep Learning for Real Credit Card Data. Fuzzy Systems and Data Mining III, Proceedings of FSDM 2017, Hualien, Taiwan, pp.303-310, ISO Press, 2017.
  • Ayahiko Niimi: Majority Rule Approach of Deep Learning for Real Credit Card Transaction Data. World Congress on Internet Security (WorldCIS-2017), Church College, University of Cambridge, Cambridge, UK, 5pages, 2017.
  • Ayahiko Niimi: Study on Data Anonymization for Deep Learning. The 31st International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2018), Concordia University, Montreal, Quebec, Canada, M. Mouhoub et al. (Eds.): IEA/AIE 2018, LNAI 10868, pp. 762–767, 2018.
  • Ayahiko Niimi: Word Topic Prediction Model Using a Topic Model, FSDM 2018 Abstract Proceeiding, The 4th International Conference on Fuzzy Systems and Data Mining (FSDM2018), Bangkok, Thailand, pp.34-35, 2018.
  • Takeru Uchiyama and Ayahiko Niimi: 11:20-11:40 *Similar Code Fragment Recommendation Using Word2Vec. Joint 10th International Conference on Soft Computing and Intelligent Systems and 19th International Symposium on Advanced Intelligent Systems in conjunction with Intelligent Systems Workshop 2018 (SCIS&ISIS with ISWS2018), Toyama, Japan, pp.131-137,2018.
  • Ayahiko Niimi: Data Anonymization Using Imbalanced Data for Deep Learning. World Congress on Internet Security (WorldCIS-2018), Church College, University of Cambridge, Cambridge, UK, 5pages, 2018.
  • Ayahiko Niimi: Data Anonymization and Sampling Algorithms Using Imbalanced Datasets for Deep Learning. Proceedings of the 10th International Multi-Conference on Complexity, Informatics and Cybernetics: IMCIC 2019, Volume II, Orlando, Florida, USA, pp.9-13, 2019.
  • Keisuke Tanaka, Ayahiko Niimi: Word Topic Prediction Model for Polysemous Words and Unknown Words Using a Topic Model, Computing Conference 2019, London, UK, pp.860-866, 2019.
  • Ayahiko Niimi, Kosuke Sakamoto: Generating Data to Alleviate Data Imbalance Problems in Machine Learning, The 5th International Conference on Fuzzy Systems and Data Mining (FSDM2019), Kitakyushu City, Japan, pp.534-541, 2019.
  • Ayahiko Niimi: Data mining with generating data to improve data imbalance problem, Plenary Speech, International Conference on Big Data Analytics and Data Science, Las Vegas, USA, pp.30, 2019. (Plenary Speech)
  • Ayahiko Niimi, Koki Takahata: Attack Detection Method by Packet Analysis Using Online Learning Method and Correlation Change Method. World Congress on Internet Security (WorldCIS-2019), London, UK, 5pages, 2019.
  • Ayahiko Niimi, Takahiro Arakawa: Privacy-Preserving Data Mining with Partially Anonymized Data in Social Networking Service. World Congress on Internet Security (WorldCIS-2020), London, UK, (Virtual Conference), 5pages, 2020.
  • Ayahiko Niimi, Kentaro Sasaya: Frequency Analysis of Phrases Using Geotagged Tweets for COVID-19. COVID-19 Challenge International Virtual Summit, (Virt
    Conference), 2pages, 2021.