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タマダ ハルアキ
TAMADA HARUAKI
玉田 春昭 所属 京都産業大学 情報理工学部 情報理工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2016 |
| 形態種別 | 研究論文（国際会議プロシーディングス） |
| 査読 | 査読あり |
| 標題 | Toward Obliging Bots for Supporting Next Actions |
| 執筆形態 | その他 |
| 掲載誌名 | 2016 4TH INTL CONF ON APPLIED COMPUTING AND INFORMATION TECHNOLOGY/3RD INTL CONF ON COMPUTATIONAL SCIENCE/INTELLIGENCE AND APPLIED INFORMATICS/1ST INTL CONF ON BIG DATA, CLOUD COMPUTING, DATA SCIENCE & ENGINEERING (ACIT-CSII-BCD) |
| 出版社・発行元 | IEEE |
| 巻・号・頁 | pp.183-188 |
| 著者・共著者 | Akira Inokuchi,Haruaki Tamada,Hideaki Hata,Masateru Tsunoda |
| 概要 | ChatOps is an industry practice of conversation-driven development using instant messaging to automate common development or monitoring tasks. It makes team members communicate with each other efficiently to work, learn and create together. We expect ChatOps to have intelligent agents, which can perform predictive operations based on users' activities, in the near future. To enable such intelligent agents, we worked on building prediction models of users' next actions. We collected action histories and their objectives and then applied sequential pattern mining to predict next actions. The result shows that some rules that meet some conditions could apply in 99% rate. Even if data do not meet the conditions, excluding rules in unnecessary actions improved the quality of the rules. Then, we analyzed generality of rules. To relate different actions as the same action based on an interpretation, the quality of the rules was improved. |
| DOI | 10.1109/ACIT-CSII-BCD.2016.43 |