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Knowledge and Data Engineering Lab
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The lab puts big data to use through databases and data mining.
AboutAbout the lab
A data engineering lab that puts big data to use
The Knowledge and Data Engineering Lab studies data engineering for making use of big data, along with the foundational technologies of related fields.
Centered on databases and data mining, the lab also draws on the latest results in machine learning and AI.
At the Center for Computational Sciences, the Center for Artificial Intelligence Research, and the International Institute for Integrative Sleep Medicine, the lab also conducts research and development in collaboration with the fields of science and medicine.
Key terms
- Data mining
- Technology for finding useful knowledge and trends in large amounts of data
- Stream data
- Data that is generated and delivered continuously, such as sensor data and microblog posts
- Searchable encryption
- Encryption that allows processing such as search to be performed on data while it remains encrypted
- Local words
- Words closely associated with a specific area. "Mt. Tsukuba" is a local word for Tsukuba City
- GPU
- Originally a processor for graphics. Its high degree of parallelism is also used for general-purpose computation
NewsLab news
Lab introduction sessions (general information sessions) held (Oct. 14 and Oct. 23)
A student won the Best Presentation Award at the annual meeting of the Japanese Society of Sleep Research
Paper on traceability in composite stream processing won the Paper Award of the Database Society of Japan
Paper on automatic detection of REM sleep won the Best Paper Award at IEEE ICHI2025
Paper on schema evaluation for property graphs won the Convention Excellence Award at the IPSJ National Convention
ResearchResearch themes
As big data reaches a scale humanity has never experienced, the question is how to obtain the data one needs and use it as effective information. With data engineering at its center, the lab pursues research and development aimed at building the foundations of the next-generation information society.
*Illustrative imageEvent-driven stream processing
The lab studies a method that, within continuously arriving stream data, processes a query only when data arrives from a specific source. Using a smart window approach that keeps only the necessary data, it aims for efficient processing.
*Illustrative imageDatabases that can be searched while encrypted
The lab aims for a data management system in the cloud that protects both the data and the content of queries. It proposes a method that encrypts database indexes with searchable encryption and searches them while keeping them concealed.
*Illustrative imageEstimating the places of residence of Twitter users
The lab studies methods for estimating where a user lives from their Twitter posts. It extracts "local words," which change over time, one after another, and infers that users who posted them live in the related area.
*Illustrative imageAccelerating mining of uncertain data with GPUs
The lab studies a method for finding frequent itemsets in large amounts of data that contain uncertainty, running on a cluster environment equipped with multiple GPUs. It reduces data communication between GPUs and also performs load balancing.
MembersFaculty
Members of the Knowledge and Data Engineering Lab are faculty members, collaborating researchers, researchers, secretaries, and students in the doctoral program, the master's program, the Degree Program in Humanics, and the undergraduate College of Information Science.As of 2026
- ProfessorToshiyuki Amagasa
- ProfessorHiroaki Shiokawa
- Assistant ProfessorKazumasa Horie
- Assistant ProfessorSavong Bou
- Assistant ProfessorTinghui Ouyang
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “A NASA computer server farm -a” NASA / Public domain (cropped)
- Event-driven stream processing: “Data processing center, pt. )” Marcin Wichary from San Francisco, Calif. / CC BY 2.0 (cropped)
- Databases that can be searched while encrypted: “Seagate ST33232A hard disk inner view” Eric Gaba (Sting - fr:Sting) This image was created with CombineZP by 11 ( It was created out of 11 single images.). / CC BY-SA 3.0 (cropped)
- Estimating the places of residence of Twitter users: “Japan Izumo relief location map” Soren Bradley / CC0 (cropped)
- Accelerating mining of uncertain data with GPUs: “6600GT GPU” Berkut / CC BY-SA 3.0 (cropped)
- Related lab (情報数理研究室): “Galileo supercomputer rack” CINECA / CC BY 2.0 (cropped)
- Related lab (計算幾何学と
グラフィックス研究室): “Apophysis 3D fractal ball” Garden / CC BY-SA 3.0 (cropped) - Related lab (機械学習・
データマイニング研究室): “Face Recognition Field Test at Südkreuz 17” This image is a work by Wikipedia and Wikimedia Commons user C.Suthorn. When reusing, credit me as described in the Licensing information below. I would appreciate being notified (wikimail, talk page, , Social Media) if you use my work outside Wikimedia. Do not copy this image illegally by ignoring the terms of the license below, as it is not in the public domain. If you would like special permission to use, license, or purchase the image please contact me to negotiate terms. More of my work can be found in my personal gallery or at my Peertube channel. A prepared attribution especially for use in Social Media and Print (newspapers, flyers, books, murals, mousepads, mugs, posters, t-shirts) can be copied here / CC BY-SA 4.0 (cropped) - Related lab (適応情報処理研究室): “RCoE - computer - Server Room” Intelligentguy89 / CC BY-SA 3.0 (cropped)
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