Zettsu Koji 是津耕司

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是津耕司ゼツツコウジ

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Researcher Number	40415857
Other IDs	https://orcid.org/0000-0003-4062-2376
Affiliation (Current)	2024: 国立研究開発法人情報通信研究機構, ユニバーサルコミュニケーション研究所統合ビッグデータ研究センター, 研究センター長
Affiliation (based on the past Project Information) *help	2021 – 2023: 国立研究開発法人情報通信研究機構, ユニバーサルコミュニケーション研究所統合ビッグデータ研究センター, 研究センター長 2010: 独立行政法人情報通信研究機構, 知識創成コミュニケーション研究センター・知識処理グループ, 主任研究員 2009: 知識創成コミュニケーション研究センター, 知識処理グループ, 主任研究員 2008: 独立行政法人情報通信研究機構, 知識創成コミュニケーション研究センター知識処理グループ, 主任研究員 2007: 情報通信研究機構, 第二研究部門・知識創成コミュニケーション研究センター・知識処理グループ, 主任研究員
Review Section/Research Field	Except Principal Investigator Science and Engineering / Basic Section 61030:Intelligent informatics-related
Keywords	Except Principal Investigator 情報統合 / 可視化 / 情報検索 / ユビキタス / データベース / Air pollution analytics / Pattern mining / data mining / spatial information / high utility patterns … More / Big data / コビキタス / クローラ / クラウド / AR / GIS / 時空間情報管理 / パーソナライゼーション / デバイス連携 Less

Exploring Novel Mathematical Models and Efficient Algorithms to Discover Periodic Spatial Patterns in Irregular Spatiotemporal Big Data
- Principal Investigator
  
  Rage Uday・Kiran
- Project Period (FY)
  2021 – 2024
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 61030:Intelligent informatics-related
- Research Institution
  The University of Aizu
偏在性に着目したユビキタスコンテンツ利活用技術の研究開発
- Principal Investigator
  
  木俵豊
- Project Period (FY)
  2009 – 2010
- Research Category
  
  Grant-in-Aid for Scientific Research on Priority Areas
- Review Section
  
  Science and Engineering
- Research Institution
  National Institute of Information and Communications Technology
遍在的情報爆発に対応したユビキタスコンテンツ管理基盤技術の研究
- Principal Investigator
  
  木俵豊
- Project Period (FY)
  2007 – 2008
- Research Category
  
  Grant-in-Aid for Scientific Research on Priority Areas
- Review Section
  
  Science and Engineering
- Research Institution
  National Institute of Information and Communications Technology

All 2023 2022 2021

All Journal Article Presentation

[Journal Article] Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements2023
- Author(s)
  Veena Pamalla, Sreepada Tarun, Kiran Rage Uday, Dao Minh-Son, Zettsu Koji, Watanobe Yutaka, Zhang Ji
- Journal Title
  
  IEEE Access
  
  Volume: 11 Pages: 118676-118688
- DOI
  10.1109/access.2023.3326419
- Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12034
[Journal Article] HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases2023
- Author(s)
  Uday Kiran Rage、Veena Pamalla、Ravikumar Penugonda、Venus Vikranth Raj Bathala、Dao Minh-Son、Zettsu Koji、Bommisetti Sai Chithra
- Journal Title
  
  Applied Intelligence
  
  Volume: 53 Issue: 8 Pages: 8536-8561
- DOI
  10.1007/s10489-022-04436-w
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12034
[Journal Article] Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series2023
- Author(s)
  Veena Pamalla, Likhitha Palla, Kiran R. Uday, Luna Jose Maria, Fournier-Viger Philippe, Zettsu Koji
- Journal Title
  
  IEEE FUZZ
  
  Volume: 1 Pages: 1-7
- DOI
  10.1109/fuzz52849.2023.10309773
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12034
[Journal Article] Discovering Geo-referenced Frequent Patterns in the Uncertain Geo-referenced Transactional Databases2023
- Author(s)
  Likhitha Palla,Veena Pamalla, Rage Uday Kiran, Zettsu Koji
- Journal Title
  
  PAKDD
  
  Volume: 1 Pages: 29-41
- DOI
  10.1007/978-3-031-33380-4_3
- ISBN
  9783031333798, 9783031333804
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12034
[Journal Article] Efficient Discovery of Partial Periodic Patterns in Large Temporal Databases2022
- Author(s)
  Kiran Rage Uday、Veena Pamalla、Ravikumar Penugonda、Saideep Chennupati、Zettsu Koji、Shang Haichuan、Toyoda Masashi、Kitsuregawa Masaru、Reddy P. Krishna
- Journal Title
  
  Electronics
  
  Volume: 11 Issue: 10 Pages: 1523-1523
- DOI
  10.3390/electronics11101523
- Data Source
  KAKENHI-PROJECT-21K12034
[Journal Article] Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases2021
- Author(s)
  Ravikumar Penugonda、Likhitha Palla、Raj Bathala Venus Vikranth、Kiran Rage Uday、Watanobe Yutaka、Zettsu Koji
- Journal Title
  
  Electronics
  
  Volume: 10 Issue: 12 Pages: 1478-1478
- DOI
  10.3390/electronics10121478
- Data Source
  KAKENHI-PROJECT-21K12034
[Presentation] Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases2022
- Author(s)
  Penugonda Ravikumar, Bathala Venus Vikranth Raj, Palla Likhitha, Rage Uday Kiran, Yutaka Watanobe, Sadanori Ito, Koji Zettsu, Masashi Toyoda:
- Organizer
  ACIIDS
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12034
[Presentation] UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases.2022
- Author(s)
  Palla Likhitha, Rage Veena, Rage Uday Kiran, Koji Zettsu, Masashi Toyoda, Philippe Fournier-Viger:
- Organizer
  ICONIP
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12034
[Presentation] Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases2022
- Author(s)
  Pamalla Veena, Penugonda Ravikumar, Kundai Kwangwari, R. Uday Kiran, Kazuo Goda, Yutaka Watanobe, Koji Zettsu
- Organizer
  IEEE FUZZ
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K12034

1. 木俵豊 (40358859)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
2. 水口充 (60415859)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
3. 宮森恒 (90287988)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
4. 河合由起子 (90399543)

# of Collaborated Projects: 2 results

# of Collaborated Products: 0 results
5. 呉受妍 (90415860)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
6. 柏岡秀紀 (10395022)

# of Collaborated Projects: 1 results

# of Collaborated Products: 0 results
7. Rage Uday・Kiran (20874324)

# of Collaborated Projects: 1 results

# of Collaborated Products: 7 results

Zettsu Koji 是津 耕司

是津 耕司 ゼツツ コウジ

Research Projects

Research Products

Co-Researchers

Exploring Novel Mathematical Models and Efficient Algorithms to Discover Periodic Spatial Patterns in Irregular Spatiotemporal Big Data

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

偏在性に着目したユビキタスコンテンツ利活用技術の研究開発

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

遍在的情報爆発に対応したユビキタスコンテンツ管理基盤技術の研究

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Mining Periodic-Frequent Patterns in Irregular Dense Temporal Databases Using Set Complements2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] HDSHUI-miner: a novel algorithm for discovering spatial high-utility itemsets in high-dimensional spatiotemporal databases2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Discovering Fuzzy Partial Periodic Patterns in Quantitative Irregular Multiple Time Series2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Discovering Geo-referenced Frequent Patterns in the Uncertain Geo-referenced Transactional Databases2023

Author(s)

Journal Title

DOI

ISBN

Data Source

[Journal Article] Efficient Discovery of Partial Periodic Patterns in Large Temporal Databases2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Efficient Discovery of Periodic-Frequent Patterns in Columnar Temporal Databases2021

Author(s)

Journal Title

DOI

Data Source

[Presentation] Towards Efficient Discovery of Partial Periodic Patterns in Columnar Temporal Databases2022

Author(s)

Organizer

Data Source

[Presentation] UPFP-growth++: An Efficient Algorithm to Find Periodic-Frequent Patterns in Uncertain Temporal Databases.2022

Author(s)

Organizer

Data Source

[Presentation] Discovering Fuzzy Geo-referenced Periodic-Frequent Patterns in Geo-referenced Time Series Databases2022

Author(s)

Organizer

Data Source

Zettsu Koji 是津耕司

是津耕司ゼツツコウジ