Yuto Hayamizu

According to our database, Yuto Hayamizu authored at least 15 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A fundamental approach to discover closed periodic-frequent patterns in very large temporal databases.

Pamalla Veena, Rage Uday Kiran, Penugonda Ravikumar, Likhitha Palla, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava

Appl. Intell., November, 2023

Efficient Parallel Mining of High-utility Itemsets on Multicore Processors.

Genki Kimura, Yuto Hayamizu, Rage Uday Kiran, Masaru Kitsuregawa, Kazuo Goda

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Physical Database Design for Manufacturing Business Analytics.

Norifumi Nishikawa, Shinji Fujiwara, Yuto Hayamizu, Kazuo Goda

Proceedings of the IEEE International Conference on Big Data, 2023

pmmeter: A Microbenchmark for Understanding Synchronization Cost on Persistent Memory.

Hirotaka Yoshioka, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa

Proceedings of the IEEE International Conference on Big Data and Smart Computing, 2023

2022

Dynamic Fault Tolerance for Multi-Node Query Processing.

Yutaro Bessho, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa

IEICE Trans. Inf. Syst., 2022

4mbench: Performance Benchmark of Manufacturing Business Database.

Kazuo Goda, Yuto Hayamizu, Norifumi Nishikawa, Shinji Fujiwara

Proceedings of the Performance Evaluation and Benchmarking, 2022

2020

Out-of-order Execution of Database Queries.

Kazuo Goda, Yuto Hayamizu, Hiroyuki Yamada, Masaru Kitsuregawa

Proc. VLDB Endow., 2020

PhoeniQ: Failure-Tolerant Query Processing in Multi-node Environments.

Yutaro Bessho, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa

Proceedings of the Database and Expert Systems Applications, 2020

Discovering Closed Periodic-Frequent Patterns in Very Large Temporal Databases.

Palla Likhitha, Penugonda Ravikumar, R. Uday Kiran, Yuto Hayamizu, Kazuo Goda, Masashi Toyoda, Koji Zettsu, Sourabh Shrivastava

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2018

Benchmarking and Performance Analysis of Event Sequence Queries on Relational Database.

Yuto Hayamizu, Ryoji Kawamichi, Kazuo Goda, Masaru Kitsuregawa

Proceedings of the Performance Evaluation and Benchmarking for the Era of Artificial Intelligence, 2018

Modeling Query Energy Costs in Analytical Database Systems with Processor Speed Scaling.

Boming Luo, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa

Proceedings of the Database and Expert Systems Applications, 2018

2016

Aging Locality Awareness in Cost Estimation for Database Query Optimization.

Chihiro Kato, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa

Proceedings of the Database and Expert Systems Applications, 2016

2015

An Experimental Study of Aging Influence on Query Cost Estimation.

Chihiro Kato, Yuto Hayamizu, Kazuo Goda, Masaru Kitsuregawa

Proceedings of the 19th International Database Engineering & Applications Symposium, 2015

2014

Comprehensive Analytics of Large Data Query Processing on Relational Database with SSDs.

Keisuke Suzuki, Yuto Hayamizu, Daisaku Yokoyama, Miyuki Nakano, Masaru Kitsuregawa

Proceedings of the Databases Theory and Applications, 2014

2011

Application-Aware Power Saving for Online Transaction Processing Using Dynamic Voltage and Frequency Scaling in a Multicore Environment.

Yuto Hayamizu, Kazuo Goda, Miyuki Nakano, Masaru Kitsuregawa

Proceedings of the Architecture of Computing Systems - ARCS 2011, 2011