| Budget Amount *help |
¥3,640,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥840,000)
Fiscal Year 2019: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2018: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2017: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
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| Outline of Final Research Achievements |
In this work, we addressed the problem of streaming data monitoring. In particular, we focused on dynamic set data. We mainly addressed the following two problems: (i) top-k co-occurrence pattern monitoring across multiple streams and (ii) dynamic set kNN self-join, which monitors the k nearest neighbor set for each set in real-time. For these problems, we proposed fast and exact algorithms with new data structures. These works respectively appear in a top-tier journal (IEEE TKDE) and a top-tier conference (IEEE ICDE) in database filed.
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