{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T13:09:33Z","timestamp":1778332173863,"version":"3.51.4"},"publisher-location":"Singapore","reference-count":21,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819203772","type":"print"},{"value":"9789819203789","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-92-0378-9_28","type":"book-chapter","created":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T12:17:49Z","timestamp":1778329069000},"page":"459-471","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Adaptive Piece-Wise Space-Filling Curves for\u00a0Dynamic Query Workloads"],"prefix":"10.1007","author":[{"given":"Junshen","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhengyu","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Liang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhonglong","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shiyou","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangtao","family":"Xue","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoshan","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,10]]},"reference":[{"key":"28_CR1","doi-asserted-by":"publisher","unstructured":"Aggarwal, C.C., Yu, P.S.: The IGrid Index: reversing the dimensionality curse for similarity indexing in high dimensional space. In: Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 119\u2013129. ACM (2000). https:\/\/doi.org\/10.1145\/347090.347116","DOI":"10.1145\/347090.347116"},{"key":"28_CR2","doi-asserted-by":"publisher","unstructured":"Bentley, J.L.: K-d trees for semidynamic point sets. In: Proceedings of the Sixth Annual Symposium on Computational Geometry, pp. 187\u2013197 (1990). https:\/\/doi.org\/10.1145\/98524.98564","DOI":"10.1145\/98524.98564"},{"issue":"1","key":"28_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TCIAIG.2012.2186810","volume":"4","author":"C Browne","year":"2012","unstructured":"Browne, C., et al.: A survey of monte Carlo tree search methods. IEEE Trans. Comput. Intell. AI Games 4(1), 1\u201343 (2012). https:\/\/doi.org\/10.1109\/TCIAIG.2012.2186810","journal-title":"IEEE Trans. Comput. Intell. AI Games"},{"key":"28_CR4","doi-asserted-by":"publisher","unstructured":"Chen, W., Yao, X., Zhang, X., Yu, B.: Efficient deep space filling curve. In: IEEE\/CVF International Conference on Computer Vision, pp. 17479\u201317488. IEEE (2023). https:\/\/doi.org\/10.1109\/ICCV51070.2023.01607","DOI":"10.1109\/ICCV51070.2023.01607"},{"issue":"7","key":"28_CR5","doi-asserted-by":"publisher","first-page":"3797","DOI":"10.1109\/TIT.2014.2320500","volume":"60","author":"T van Erven","year":"2014","unstructured":"van Erven, T., Harremo\u00ebs, P.: R\u00e9nyi divergence and kullback-leibler divergence. IEEE Trans. Inf. Theory 60(7), 3797\u20133820 (2014). https:\/\/doi.org\/10.1109\/TIT.2014.2320500","journal-title":"IEEE Trans. Inf. Theory"},{"issue":"5","key":"28_CR6","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1016\/J.IPL.2007.08.034","volume":"105","author":"CH Hamilton","year":"2008","unstructured":"Hamilton, C.H., Rau-Chaplin, A.: Compact hilbert indices: space-filling curves for domains with unequal side lengths. Inf. Process. Lett. 105(5), 155\u2013163 (2008). https:\/\/doi.org\/10.1016\/J.IPL.2007.08.034","journal-title":"Inf. Process. Lett."},{"key":"28_CR7","doi-asserted-by":"publisher","unstructured":"Indyk, P., Motwani, R.: Approximate nearest neighbors: towards removing the curse of dimensionality. In: Proceedings of the Thirtieth Annual ACM Symposium on the Theory of Computing, pp. 604\u2013613. ACM (1998). https:\/\/doi.org\/10.1145\/276698.276876","DOI":"10.1145\/276698.276876"},{"issue":"2","key":"28_CR8","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1145\/93605.98742","volume":"19","author":"HV Jagadish","year":"1990","unstructured":"Jagadish, H.V.: Linear clustering of objects with multiple attributes. SIGMOD Rec. 19(2), 332\u2013342 (1990). https:\/\/doi.org\/10.1145\/93605.98742","journal-title":"SIGMOD Rec."},{"key":"28_CR9","doi-asserted-by":"publisher","unstructured":"Li, G., Zhou, X., Cao, L.: Machine learning for databases. Proc. VLDB Endow. 14(12), 3190\u20133193 (2021). https:\/\/doi.org\/10.14778\/3476311.3476405","DOI":"10.14778\/3476311.3476405"},{"key":"28_CR10","doi-asserted-by":"publisher","unstructured":"Li, J., Wang, Z., Cong, G., Long, C., Kiah, H.M., Cui, B.: Towards designing and learning piecewise space-filling curves. Proc. VLDB Endow. 16(9), 2158\u20132171 (2023). https:\/\/doi.org\/10.14778\/3598581.3598589","DOI":"10.14778\/3598581.3598589"},{"issue":"6","key":"28_CR11","doi-asserted-by":"publisher","first-page":"795","DOI":"10.1109\/TPDS.2024.3381214","volume":"35","author":"J Liu","year":"2024","unstructured":"Liu, J., et al.: G-learned index: enabling efficient learned index on GPU. IEEE Trans. Parallel Distributed Syst. 35(6), 795\u2013812 (2024). https:\/\/doi.org\/10.1109\/TPDS.2024.3381214","journal-title":"IEEE Trans. Parallel Distributed Syst."},{"key":"28_CR12","unstructured":"van\u00a0der Maaten, L., Postma, E., Herik, H.: Dimensionality reduction: a comparative review. J. Mach. Learn. Res. - JMLR 10 (2007)"},{"key":"28_CR13","first-page":"24","volume":"26","author":"V Markl","year":"2000","unstructured":"Markl, V.: Mistral - processing relational queries using a multidimensional access technique. Datenbank Rundbr. 26, 24\u201325 (2000)","journal-title":"Datenbank Rundbr."},{"issue":"3","key":"28_CR14","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1023\/A:1025196714293","volume":"7","author":"MF Mokbel","year":"2003","unstructured":"Mokbel, M.F., Aref, W.G., Kamel, I.: Analysis of multi-dimensional space-filling curves. GeoInformatica 7(3), 179\u2013209 (2003). https:\/\/doi.org\/10.1023\/A:1025196714293","journal-title":"GeoInformatica"},{"key":"28_CR15","doi-asserted-by":"publisher","unstructured":"Nishimura, S., Yokota, H.: QUILTS: multidimensional data partitioning framework based on query-aware and skew-tolerant space-filling curves. In: Proceedings of the 2017 ACM International Conference on Management of Data, pp. 1525\u20131537 (2017). https:\/\/doi.org\/10.1145\/3035918.3035934","DOI":"10.1145\/3035918.3035934"},{"key":"28_CR16","doi-asserted-by":"publisher","unstructured":"Orenstein, J.A.: Redundancy in spatial databases. In: Proceedings of the 1989 ACM SIGMOD International Conference on Management of Data, pp. 295\u2013305 (1989). https:\/\/doi.org\/10.1145\/67544.66954","DOI":"10.1145\/67544.66954"},{"key":"28_CR17","doi-asserted-by":"publisher","unstructured":"Raihan, A.: A systematic review of geographic information systems (GIS) in agriculture for evidence-based decision making and sustainability. Global Sustainab. Res. 3(1), 1\u201324 (2024). https:\/\/doi.org\/10.56556\/gssr.v3i1.636","DOI":"10.56556\/gssr.v3i1.636"},{"key":"28_CR18","unstructured":"Sellis, T.K., Roussopoulos, N., Faloutsos, C.: The R+-Tree: a dynamic index for multi-dimensional objects. In: VLDB\u201987, Proceedings of 13th International Conference on Very Large Data Bases, pp. 507\u2013518 (1987)"},{"key":"28_CR19","doi-asserted-by":"publisher","DOI":"10.1016\/J.COGSYS.2024.101216","volume":"85","author":"T Taipalus","year":"2024","unstructured":"Taipalus, T.: Vector database management systems: fundamental concepts, use-cases, and current challenges. Cogn. Syst. Res. 85, 101216 (2024). https:\/\/doi.org\/10.1016\/J.COGSYS.2024.101216","journal-title":"Cogn. Syst. Res."},{"key":"28_CR20","doi-asserted-by":"publisher","unstructured":"Yang, G., Wu, C.: Information analysis and decision system for tax revenue based on data warehouse. In: 2010 International Conference on Computer Application and System Modeling (ICCASM 2010), vol.\u00a06, pp. V6\u2013530\u2013V6\u2013533 (2010). https:\/\/doi.org\/10.1109\/ICCASM.2010.5620700","DOI":"10.1109\/ICCASM.2010.5620700"},{"key":"28_CR21","doi-asserted-by":"publisher","unstructured":"Zhao, H., Deep, S., Koutris, P.: Space-time tradeoffs for conjunctive queries with access patterns. In: Geerts, F., Ngo, H.Q., Sintos, S. (eds.) Proceedings of the 42nd ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, pp. 59\u201368. ACM (2023). https:\/\/doi.org\/10.1145\/3584372.3588675","DOI":"10.1145\/3584372.3588675"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-0378-9_28","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T12:17:50Z","timestamp":1778329070000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-0378-9_28"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819203772","9789819203789"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-0378-9_28","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"10 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jeju","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 April 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 April 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2026.github.io\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}