| Budget Amount *help |
¥41,600,000 (Direct Cost: ¥32,000,000、Indirect Cost: ¥9,600,000)
Fiscal Year 2022: ¥8,970,000 (Direct Cost: ¥6,900,000、Indirect Cost: ¥2,070,000)
Fiscal Year 2021: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)
Fiscal Year 2020: ¥9,100,000 (Direct Cost: ¥7,000,000、Indirect Cost: ¥2,100,000)
Fiscal Year 2019: ¥9,230,000 (Direct Cost: ¥7,100,000、Indirect Cost: ¥2,130,000)
Fiscal Year 2018: ¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
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| Outline of Final Research Achievements |
Recently, a variety of bigdata generated from different data sources such as IoT devices has caused diversified needs for advanced search including specific feature extraction and data retrieval based on specific conditions. Most existing studies individually design special index structures and online processing algorithms to meet the assumed search conditions, which results in significant increases in memory/storage costs and index maintenance costs. In this project, to solve this problem, we have conducted research on (i) constructing unified index structures to meet a variety of search needs, and (ii) designing online search algorithms on the constructed index structures. Our research achievements have been published in a number of top-ranked journals and conferences.
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