{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T22:04:25Z","timestamp":1766268265386,"version":"3.40.3"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030594183"},{"type":"electronic","value":"9783030594190"}],"license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-59419-0_21","type":"book-chapter","created":{"date-parts":[[2020,9,21]],"date-time":"2020-09-21T16:57:43Z","timestamp":1600707463000},"page":"339-355","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Increasing the Efficiency of GPU Bitmap Index Query Processing"],"prefix":"10.1007","author":[{"given":"Brandon","family":"Tran","sequence":"first","affiliation":[]},{"given":"Brennan","family":"Schaffner","sequence":"additional","affiliation":[]},{"given":"Jason","family":"Sawin","sequence":"additional","affiliation":[]},{"given":"Joseph M.","family":"Myre","sequence":"additional","affiliation":[]},{"given":"David","family":"Chiu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,9,22]]},"reference":[{"key":"21_CR1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/978-3-642-15251-1_26","volume-title":"Database and Expert Systems Applications","author":"W Andrzejewski","year":"2010","unstructured":"Andrzejewski, W., Wrembel, R.: GPU-WAH: applying GPUs to compressing bitmap indexes with word aligned hybrid. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds.) DEXA 2010. LNCS, vol. 6262, pp. 315\u2013329. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-15251-1_26"},{"key":"21_CR2","first-page":"627","volume":"40","author":"W Andrzejewski","year":"2011","unstructured":"Andrzejewski, W., Wrembel, R.: GPU-PLWAH: GPU-based implementation of the PLWAH algorithm for compressing bitmaps. Control Cybern. 40, 627\u2013650 (2011)","journal-title":"Control Cybern."},{"key":"21_CR3","unstructured":"Antoshenkov, G.: Byte-aligned bitmap compression. In: Proceedings DCC 1995 Data Compression Conference, p. 476. IEEE (1995)"},{"key":"21_CR4","unstructured":"Bonneville power administration. http:\/\/www.bpa.gov"},{"key":"21_CR5","doi-asserted-by":"publisher","first-page":"79","DOI":"10.1016\/j.jretai.2016.12.004","volume":"93","author":"E Bradlow","year":"2017","unstructured":"Bradlow, E., Gangwar, M., Kopalle, P., Voleti, S.: The role of big data and predictive analytics in retailing. J. Retail. 93, 79\u201395 (2017)","journal-title":"J. Retail."},{"issue":"5","key":"21_CR6","doi-asserted-by":"publisher","first-page":"709","DOI":"10.1002\/spe.2325","volume":"46","author":"S Chambi","year":"2016","unstructured":"Chambi, S., Lemire, D., Kaser, O., Godin, R.: Better bitmap performance with roaring bitmaps. Softw. Pract. Exp. 46(5), 709\u2013719 (2016)","journal-title":"Softw. Pract. Exp."},{"issue":"16","key":"21_CR7","doi-asserted-by":"publisher","first-page":"644","DOI":"10.1016\/j.ipl.2010.05.018","volume":"110","author":"A Colantonio","year":"2010","unstructured":"Colantonio, A., Di Pietro, R.: CONCISE: compressed \u2018n\u2019 composable integer set. Inf. Process. Lett. 110(16), 644\u2013650 (2010)","journal-title":"Inf. Process. Lett."},{"key":"21_CR8","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1007\/978-3-642-23091-2_32","volume-title":"Database and Expert Systems Applications","author":"F Corrales","year":"2011","unstructured":"Corrales, F., Chiu, D., Sawin, J.: Variable length compression for bitmap indices. In: Hameurlain, A., Liddle, S.W., Schewe, K.-D., Zhou, X. (eds.) DEXA 2011. LNCS, vol. 6861, pp. 381\u2013395. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-23091-2_32"},{"key":"21_CR9","unstructured":"Davenport, T., Dyche, J.: Big data in big companies. Technical report, International Institute for Analytics (2013)"},{"key":"21_CR10","doi-asserted-by":"crossref","unstructured":"Deli\u00e8ge, F., Pedersen, T.B.: Position list word aligned hybrid: optimizing space and performance for compressed bitmaps. In: International Conference on Extending Database Technology, EDBT 2010, pp. 228\u2013239 (2010)","DOI":"10.1145\/1739041.1739071"},{"key":"21_CR11","doi-asserted-by":"publisher","first-page":"897","DOI":"10.1016\/j.jbusres.2015.07.001","volume":"69","author":"S Erevelles","year":"2016","unstructured":"Erevelles, S., Fukawa, N., Swaynea, L.: Big data consumer analytics and the transformation of marketing. J. Bus. Res. 69, 897\u2013904 (2016)","journal-title":"J. Bus. Res."},{"issue":"2","key":"21_CR12","first-page":"1382","volume":"3","author":"F Fusco","year":"2010","unstructured":"Fusco, F., Stoecklin, M.P., Vlachos, M.: NET-FLi: on-the-fly compression, archiving and indexing of streaming network traffic. VLDB 3(2), 1382\u20131393 (2010)","journal-title":"VLDB"},{"key":"21_CR13","doi-asserted-by":"crossref","unstructured":"Guzun, G., Canahuate, G., Chiu, D., Sawin, J.: A tunable compression framework for bitmap indices. In: 2014 IEEE 30th International Conference on Data Engineering, pp. 484\u2013495. IEEE (2014)","DOI":"10.1109\/ICDE.2014.6816675"},{"issue":"4","key":"21_CR14","doi-asserted-by":"publisher","first-page":"466","DOI":"10.1109\/TVCG.2010.88","volume":"17","author":"Q Hou","year":"2011","unstructured":"Hou, Q., Sun, X., Zhou, K., Lauterbach, C., Manocha, D.: Memory-scalable GPU spatial hierarchy construction. IEEE Trans. Vis. Comput. Graph. 17(4), 466\u2013474 (2011)","journal-title":"IEEE Trans. Vis. Comput. Graph."},{"key":"21_CR15","unstructured":"Lichman, M.: UCI machine learning repository (2013). urlhttp:\/\/archive.ics.uci.edu\/ml"},{"issue":"2","key":"21_CR16","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S Lloyd","year":"1982","unstructured":"Lloyd, S.: Least squares quantization in PCM. IEEE Trans. Inf. Theor. 28(2), 129\u2013137 (1982)","journal-title":"IEEE Trans. Inf. Theor."},{"key":"21_CR17","unstructured":"Marr, B.: Starbucks: using big data, analytics and artificial intelligence to boost performance. Forbes, May 2018. https:\/\/www.forbes.com\/sites\/bernardmarr\/2018\/05\/28\/starbucks-using-big-data-analytics-and-artificial-intelligence-to-boost-performance\/#5784902e65cd"},{"key":"21_CR18","first-page":"61","volume":"90","author":"A McAfee","year":"2012","unstructured":"McAfee, A., Brynjolfsson, E.: Big data: the management revolution. Harvard Bus. Rev. 90, 61\u201368 (2012)","journal-title":"Harvard Bus. Rev."},{"key":"21_CR19","doi-asserted-by":"crossref","unstructured":"Nelson, M., Sorenson, Z., Myre, J., Sawin, J., Chiu, D.: GPU acceleration of range queries over large data sets. In: Proceedings of the 6th IEEE\/ACM International Conference on Big Data Computing, Application, and Technologies (BDCAT 2019), pp. 11\u201320 (2019)","DOI":"10.1145\/3365109.3368789"},{"issue":"4","key":"21_CR20","doi-asserted-by":"publisher","first-page":"648","DOI":"10.1016\/j.jbi.2011.02.008","volume":"44","author":"M Sariyar","year":"2011","unstructured":"Sariyar, M., Borg, A., Pommerening, K.: Controlling false match rates in record linkage using extreme value theory. J. Biomed. Inf. 44(4), 648\u2013654 (2011)","journal-title":"J. Biomed. Inf."},{"key":"21_CR21","doi-asserted-by":"crossref","unstructured":"Wang, L., et al.: SuperNeurons: dynamic GPU memory management for training deep neural networks. In: Proceedings of the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, pp. 41\u201353 (2018)","DOI":"10.1145\/3178487.3178491"},{"key":"21_CR22","unstructured":"Wu, K., Otoo, E.J., Shoshani, A., Nordberg, H.: Notes on design and implementation of compressed bit vectors. Technical report, LBNL\/PUB-3161, Lawrence Berkeley National Laboratory (2001)"},{"key":"21_CR23","unstructured":"Wu, K., Otoo, E.J., Shoshani, A.: Compressing bitmap indexes for faster search operations. In: Proceedings 14th International Conference on Scientific and Statistical Database Management, pp. 99\u2013108. IEEE (2002)"},{"issue":"1","key":"21_CR24","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1132863.1132864","volume":"31","author":"K Wu","year":"2006","unstructured":"Wu, K., Otoo, E.J., Shoshani, A.: Optimizing bitmap indices with efficient compression. ACM Trans. Database Syst. 31(1), 1\u201338 (2006)","journal-title":"ACM Trans. Database Syst."},{"key":"21_CR25","doi-asserted-by":"crossref","unstructured":"You, S., Zhang, J., Gruenwald, L.: Parallel spatial query processing on GPUs using r-trees. In: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, pp. 23\u201331 (2013)","DOI":"10.1145\/2534921.2534949"},{"key":"21_CR26","first-page":"39","volume":"2","author":"M Zaker","year":"2008","unstructured":"Zaker, M., Phon-Amnuaisuk, S., Haw, S.C.: An adequate design for large data warehouse systems: bitmap index versus b-tree index. Int. J. Comput. Commun. 2, 39\u201346 (2008)","journal-title":"Int. J. Comput. Commun."}],"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\/978-3-030-59419-0_21","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T17:52:46Z","timestamp":1710265966000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-59419-0_21"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"ISBN":["9783030594183","9783030594190"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-59419-0_21","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2020]]},"assertion":[{"value":"22 September 2020","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":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"24 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/db.pknu.ac.kr\/dasfaa2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Double-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"487","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"119","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"23","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.11","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"6.81","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"15 demo papers and 4 industrial papers","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}