Journals

• Daichi Amagata and Takahiro Hara. Mining Top-k Co-Occurrence Patterns across Multiple Streams IEEE Transactions on Knowledge and Data Engineering (TKDE), volume 29, number 10, pages 2249-2262, 2017.
• Daichi Amagata, Takahiro Hara, Yuya Sasaki, and Shojiro Nishio. Efficient Cluster-Based Top-k Query Routing with Data Replication in MANETs Soft Computing, volume 21, number 15, pages 4161-4178, 2017. Extended version of MoMM2014.
• Daichi Amagata and Takahiro Hara. A General Framework for MaxRS and MaxCRS Monitoring in Spatial Data Streams ACM Transactions on Spatial Algorithms and Systems (TSAS), volume 3, number 1, pages 1-34, 2017. Extended version of EDBT2016.

Conferences

• Yuki Nakayama, Daichi Amagata, and Takahiro Hara. Probabilistic MaxRS Queries on Uncertain Data Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), pages 111-119, 2017.
• Shunya Nishio, Daichi Amagata, and Takahiro Hara. Geo-Social Keyword Top-k Data Monitoring over Sliding Window Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), pages 409-424, 2017.
• Naoya Taguchi, Daichi Amagata, and Takahiro Hara. Geo-social Keyword Skyline Queries Proceedings of the International Conference on Database and Expert Systems Applications (DEXA), pages 425-435, 2017.