Takaaki Nakamura

According to our database, Takaaki Nakamura authored at least 8 papers between 2009 and 2023.

Collaborative distances:

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

2023

MERLIN++: parameter-free discovery of time series anomalies.

Takaaki Nakamura, Ryan Mercer, Makoto Imamura, Eamonn J. Keogh

Data Min. Knowl. Discov., March, 2023

Parameter-free Spikelet: Discovering Different Length and Warped Time Series Motifs using an Adaptive Time Series Representation.

Makoto Imamura, Takaaki Nakamura

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Matrix Profile XXX: MADRID: A Hyper-Anytime and Parameter-Free Algorithm to Find Time Series Anomalies of all Lengths.

Yue Lu, Thirumalai Vinjamoor Akhil Srinivas, Takaaki Nakamura, Makoto Imamura, Eamonn J. Keogh

Proceedings of the IEEE International Conference on Data Mining, 2023

A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif.

Makoto Imamura, Takaaki Nakamura

Proceedings of the IEEE International Conference on Data Mining, 2023

2021

Spikelet: An Adaptive Symbolic Approximation for Finding Higher-Level Structure in Time Series.

Makoto Imamura, Takaaki Nakamura

Proceedings of the IEEE International Conference on Data Mining, 2021

2020

Matrix Profile XXI: A Geometric Approach to Time Series Chains Improves Robustness.

Makoto Imamura, Takaaki Nakamura, Eamonn J. Keogh

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

MERLIN: Parameter-Free Discovery of Arbitrary Length Anomalies in Massive Time Series Archives.

Takaaki Nakamura, Makoto Imamura, Ryan Mercer, Eamonn J. Keogh

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2009

Representation of Incompletely Specified Index Generation Functions Using Minimal Number of Compound Variables.

Tsutomu Sasao, Takaaki Nakamura, Munehiro Matsuura

Proceedings of the 12th Euromicro Conference on Digital System Design, 2009