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Hokkaido University Collection of Scholarly and Academic Papers >
Graduate School of Information Science and Technology / Faculty of Information Science and Technology >
Peer-reviewed Journal Articles, etc >
Adaptive Rotation Forests : Decision Tree Ensembles for Sequential Learning
| Title: | Adaptive Rotation Forests : Decision Tree Ensembles for Sequential Learning |
| Authors: | Sugawara, Yu Browse this author | | Oyama, Satoshi Browse this author →KAKEN DB | | Kurihara, Masahito Browse this author →KAKEN DB |
| Keywords: | data mining | | decision trees | | random forests | | storage management | | supervised learning | | tree data structures |
| Issue Date: | 17-Oct-2021 |
| Publisher: | IEEE |
| Journal Title: | 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) |
| Volume: | 2021 |
| Start Page: | 613 |
| End Page: | 618 |
| Publisher DOI: | 10.1109/SMC52423.2021.9659107 |
| Abstract: | We have developed an ensemble-based approach for online machine learning: adaptive rotation forest and AD-WIN adaptive rotation forest. We focused on rotation forest, an offline supervised ensemble algorithm with a particularly high prediction accuracy while all the features are continuous. Our objective was to develop a high-performance online ensemble method that uses a process similar to that of rotation forest in an online environment. Our experiments demonstrated that the proposed approach simplifies the tree structure used for the base learners, reduces memory consumption, and improves prediction accuracy for some data streams. |
| Rights: | © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| Type: | article (author version) |
| URI: | http://hdl.handle.net/2115/87710 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: 小山 聡
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