{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T07:18:31Z","timestamp":1698563911841},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2020,3,14]],"date-time":"2020-03-14T00:00:00Z","timestamp":1584144000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,3,14]],"date-time":"2020-03-14T00:00:00Z","timestamp":1584144000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100003130","name":"Fonds Wetenschappelijk Onderzoek","doi-asserted-by":"publisher","award":["G059615N"],"id":[{"id":"10.13039\/501100003130","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Netw Syst Manage"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1007\/s10922-020-09526-z","type":"journal-article","created":{"date-parts":[[2020,3,18]],"date-time":"2020-03-18T14:38:01Z","timestamp":1584542281000},"page":"1161-1186","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A Workload-Driven Approach for View Selection in Large Dimensional Datasets"],"prefix":"10.1007","volume":"28","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-1215-9209","authenticated-orcid":false,"given":"Leandro","family":"Ordonez-Ante","sequence":"first","affiliation":[]},{"given":"Gregory","family":"Van Seghbroeck","sequence":"additional","affiliation":[]},{"given":"Tim","family":"Wauters","sequence":"additional","affiliation":[]},{"given":"Bruno","family":"Volckaert","sequence":"additional","affiliation":[]},{"given":"Filip","family":"De Turck","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,3,14]]},"reference":[{"key":"9526_CR1","volume-title":"Big Data: Principles and best practices of scalable realtime data systems","author":"N Marz","year":"2015","unstructured":"Marz, N., Warren, J.: Big Data: Principles and best practices of scalable realtime data systems. Manning Publications Co., New York (2015)"},{"key":"9526_CR2","unstructured":"Fernandez, R.C., Pietzuch, P.R., Kreps, J., Narkhede, N., Rao, J., Koshy, J., Lin, D., Riccomini, C., Wang, G.: Liquid: Unifying nearline and offline big data integration. In: CIDR 2015. (2015)"},{"key":"9526_CR3","doi-asserted-by":"publisher","first-page":"161","DOI":"10.1002\/9781119281320.ch8","volume-title":"Professional Hadoop$$\\textregistered $$","author":"B Anthony","year":"2016","unstructured":"Anthony, B., Boudnik, K., Adams, C., Shao, B., Lee, C., Sasaki, K.: In-memory computing in hadoop stack. In: Anthony, B. (ed.) Professional Hadoop$$\\textregistered$$, pp. 161\u2013182. Wiley, New York (2016)"},{"key":"9526_CR4","doi-asserted-by":"publisher","unstructured":"Pal, S.: Sql-on-big-data challenges & solutions. In: SQL on Big Data: Technology, Architecture, and Innovation, pp. 17\u201333. Apress, Berkeley, CA (2016). https:\/\/doi.org\/10.1007\/978-1-4842-2247-8_2","DOI":"10.1007\/978-1-4842-2247-8_2"},{"key":"9526_CR5","unstructured":"AMPLab-UC-Berkeley: Amplab big data benchmark. https:\/\/amplab.cs.berkeley.edu\/benchmark\/ (2014). Accessed 18 Apr 2017"},{"key":"9526_CR6","doi-asserted-by":"crossref","unstructured":"Ordonez-Ante, L., Vanhove, T., Van Seghbroeck, G., Wauters, T., De Turck, F.: Interactive querying and data visualization for abuse detection in social network sites. In: ICITST 2016, pp. 104\u2013109. IEEE (2016)","DOI":"10.1109\/ICITST.2016.7856676"},{"key":"9526_CR7","doi-asserted-by":"publisher","unstructured":"Ordonez-Ante, L., Vanhove, T., Van Seghbroeck, G., Wauters, T., Volckaert, B., De Turck, F.: Dynamic data transformation for low latency querying in big data systems. In: 2017 IEEE International Conference on Big Data (Big Data), pp. 2480\u20132489 (2017). https:\/\/doi.org\/10.1109\/BigData.2017.8258206","DOI":"10.1109\/BigData.2017.8258206"},{"issue":"4","key":"9526_CR8","doi-asserted-by":"publisher","first-page":"e1976","DOI":"10.1002\/nem.1976","volume":"27","author":"T Vanhove","year":"2017","unstructured":"Vanhove, T., Sebrechts, M., Van Seghbroeck, G., Wauters, T., Volckaert, B., De Turck, F.: Data transformation as a means towards dynamic data storage and polyglot persistence. Int. J. Netw. Manag. 27(4), e1976 (2017). https:\/\/doi.org\/10.1002\/nem.1976","journal-title":"Int. J. Netw. Manag."},{"key":"9526_CR9","volume-title":"The data warehouse toolkit: the definitive guide to dimensional modeling","author":"R Kimball","year":"2013","unstructured":"Kimball, R., Ross, M.: The data warehouse toolkit: the definitive guide to dimensional modeling, 3rd edn. Wiley, New Jersey (2013)","edition":"3"},{"issue":"2","key":"9526_CR10","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1002\/nem.1818","volume":"23","author":"D Park","year":"2013","unstructured":"Park, D., Yu, J., Park, J.S., Kim, M.S.: Netcube: a comprehensive network traffic analysis model based on multidimensional olap data cube. Int. J. Netw. Manag. 23(2), 101\u2013118 (2013)","journal-title":"Int. J. Netw. Manag."},{"key":"9526_CR11","doi-asserted-by":"publisher","unstructured":"Ali, O., Crvenkovski, P., Johnson, H.: Using a business intelligence data analytics solution in healthcare. In: 2016 IEEE 7th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON), pp. 1\u20136 (2016). https:\/\/doi.org\/10.1109\/IEMCON.2016.7746328","DOI":"10.1109\/IEMCON.2016.7746328"},{"key":"9526_CR12","doi-asserted-by":"publisher","unstructured":"Scriney, M., O\u2019Connor, M.F., Roantree, M.: Generating cubes from smart city web data. In: Proceedings of the Australasian Computer Science Week Multiconference, ACSW \u201917, pp. 49:1\u201349:8. ACM, New York, NY, USA (2017). https:\/\/doi.org\/10.1145\/3014812.3014863","DOI":"10.1145\/3014812.3014863"},{"issue":"4","key":"9526_CR13","first-page":"496","volume":"20","author":"T Nalini","year":"2012","unstructured":"Nalini, T., Kumaravel, A., Rangarajan, K.: A comparative study analysis of materialized view for selection cost. World Appl. Sci. J. 20(4), 496\u2013501 (2012)","journal-title":"World Appl. Sci. J."},{"issue":"1","key":"9526_CR14","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1504\/IJBIS.2016.073379","volume":"21","author":"R Goswami","year":"2016","unstructured":"Goswami, R., Bhattacharyya, D.K., Dutta, M., Kalita, J.K.: Approaches and issues in view selection for materialising in data warehouse. Int. J. Bus. Inform. Syst. 21(1), 17\u201347 (2016). https:\/\/doi.org\/10.1504\/IJBIS.2016.073379","journal-title":"Int. J. Bus. Inform. Syst."},{"key":"9526_CR15","first-page":"663","volume-title":"Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications","author":"A Gosain","year":"2017","unstructured":"Gosain, A., Sachdeva, K.: A systematic review on materialized view selection. In: Satapathy, S.C., Bhateja, V., Udgata, S.K., Pattnaik, P.K. (eds.) Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, pp. 663\u2013671. Springer Singapore, Singapore (2017)"},{"key":"9526_CR16","doi-asserted-by":"publisher","unstructured":"Nadeau, T.P., Teorey, T.J.: Achieving scalability in olap materialized view selection. In: Proceedings of the 5th ACM International Workshop on Data Warehousing and OLAP, DOLAP \u201902, pp. 28\u201334. ACM, New York, NY, USA (2002). https:\/\/doi.org\/10.1145\/583890.583895","DOI":"10.1145\/583890.583895"},{"key":"9526_CR17","unstructured":"Serna-Encinas, M.T., Hoyo-Montano, J.A.: Algorithm for selection of materialized views: based on a costs model. In: International Conference on Current Trends in Computer Science, 2007. ENC 2007., pp. 18\u201324. IEEE (2007)"},{"issue":"1","key":"9526_CR18","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1109\/TKDE.2005.16","volume":"17","author":"H Gupta","year":"2005","unstructured":"Gupta, H., Mumick, I.S.: Selection of views to materialize in a data warehouse. IEEE Trans. Knowl. Data Eng. 17(1), 24\u201343 (2005)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"9526_CR19","unstructured":"Phuboon-ob, J., Auepanwiriyakul, R.: Two-phase optimization for selecting materialized views in a data warehouse. Int. J. Comp. Electr. Autom. Contr. Inform. Eng. 1(1): 119\u2013123 (2007). http:\/\/waset.org\/Publications?p=1"},{"key":"9526_CR20","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1016\/j.engappai.2018.02.018","volume":"71","author":"H Azgomi","year":"2018","unstructured":"Azgomi, H., Sohrabi, M.K.: A game theory based framework for materialized view selection in data warehouses. Eng. Appl. Artif. Intell. 71, 125\u2013137 (2018). https:\/\/doi.org\/10.1016\/j.engappai.2018.02.018","journal-title":"Eng. Appl. Artif. Intell."},{"key":"9526_CR21","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1007\/11827252_9","volume-title":"Advances in Databases and Information Systems","author":"K Aouiche","year":"2006","unstructured":"Aouiche, K., Jouve, P.E., Darmont, J.: Clustering-based materialized view selection in data warehouses. Advances in Databases and Information Systems, pp. 81\u201395. Springer, Berlin (2006)"},{"key":"9526_CR22","doi-asserted-by":"publisher","first-page":"121","DOI":"10.1007\/978-3-540-69501-1_14","volume-title":"International Conference on Algorithms and Architectures for Parallel Processing","author":"R Derakhshan","year":"2008","unstructured":"Derakhshan, R., Stantic, B., Korn, O., Dehne, F.: Parallel simulated annealing for materialized view selection in data warehousing environments. International Conference on Algorithms and Architectures for Parallel Processing, pp. 121\u2013132. Springer, New York (2008)"},{"key":"9526_CR23","doi-asserted-by":"crossref","unstructured":"Sun, X., Wang, Z.: An efficient materialized views selection algorithm based on pso. In: Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on, pp. 1\u20134. IEEE (2009)","DOI":"10.1109\/IWISA.2009.5072711"},{"key":"9526_CR24","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Sun, X., Wang, Z.: An efficient ma-based materialized views selection algorithm. In: Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on, pp. 315\u2013318. IEEE (2009)","DOI":"10.1109\/CASE.2009.111"},{"issue":"3","key":"9526_CR25","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1007\/s10844-017-0455-6","volume":"49","author":"R Goswami","year":"2017","unstructured":"Goswami, R., Bhattacharyya, D., Dutta, M.: Materialized view selection using evolutionary algorithm for speeding up big data query processing. J. Intell. Inf. Syst. 49(3), 407\u2013433 (2017)","journal-title":"J. Intell. Inf. Syst."},{"key":"9526_CR26","doi-asserted-by":"crossref","unstructured":"Gosain, A., Sachdeva, K.: Materialized view selection using backtracking search optimization algorithm. In: Intelligent Engineering Informatics, pp. 241\u2013251. Springer (2018)","DOI":"10.1007\/978-981-10-7566-7_25"},{"issue":"3","key":"9526_CR27","doi-asserted-by":"publisher","first-page":"18","DOI":"10.4018\/IJCINI.2018070102","volume":"12","author":"TV Kumar","year":"2018","unstructured":"Kumar, T.V., Kumar, A.: Materialized view selection using set based particle swarm optimization. Int. J. Cogn. Inform. Nat. Intell. 12(3), 18\u201339 (2018). https:\/\/doi.org\/10.4018\/IJCINI.2018070102","journal-title":"Int. J. Cogn. Inform. Nat. Intell."},{"issue":"2","key":"9526_CR28","doi-asserted-by":"publisher","first-page":"1","DOI":"10.4018\/IJORIS.2019040101","volume":"10","author":"J Prakash","year":"2019","unstructured":"Prakash, J., Kumar, T.V.: A multi-objective approach for materialized view selection. Int. J. Oper. Res. Inform. Syst. 10(2), 1\u201319 (2019)","journal-title":"Int. J. Oper. Res. Inform. Syst."},{"issue":"1","key":"9526_CR29","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/s10844-009-0080-0","volume":"33","author":"K Aouiche","year":"2009","unstructured":"Aouiche, K., Darmont, J.: Data mining-based materialized view and index selection in data warehouses. J. Intell. Inform. Syst. 33(1), 65\u201393 (2009)","journal-title":"J. Intell. Inform. Syst."},{"key":"9526_CR30","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1007\/978-3-642-30111-7_15","volume-title":"Adv. Comput. Sci. Eng. Appl.","author":"TVV Kumar","year":"2012","unstructured":"Kumar, T.V.V., Singh, A., Dubey, G.: Mining queries for constructing materialized views in a data warehouse. In: Wyld, D.C., Zizka, J., Nagamalai, D. (eds.) Adv. Comput. Sci. Eng. Appl., pp. 149\u2013159. Springer Berlin Heidelberg, Berlin, Heidelberg (2012)"},{"key":"9526_CR31","unstructured":"Jouve, P., Nicoloyannis, N.: Kerouac: an algorithm for clustering categorical data sets with practical advantages. In: International Workshop on Data Mining for Actionable Knowledge (DMAK\u20192003, in conjunction with PAKDD03), vol. 70 (2003)"},{"key":"9526_CR32","unstructured":"Jouve, P.E.: Apprentissage non supervis\u00e9 et extraction de connaissances \u00e0 partir de donn\u00e9es. Ph.D. thesis, Universit\u00e9 Lumi\u00e8re-Lyon 2 (2003)"},{"issue":"7","key":"9526_CR33","doi-asserted-by":"publisher","first-page":"825","DOI":"10.1016\/j.patrec.2006.11.009","volume":"28","author":"OT Y\u0131ld\u0131z","year":"2007","unstructured":"Y\u0131ld\u0131z, O.T., Dikmen, O.: Parallel univariate decision trees. Patt. Recogn. Lett. 28(7), 825\u2013832 (2007)","journal-title":"Patt. Recogn. Lett."},{"key":"9526_CR34","unstructured":"Du, J., Glavic, B., Tan, W., Miller, R.J.: Deepsea: Progressive workload-aware partitioning of materialized views in scalable data analytics. In: International Conference on Extending Database Technology 2017, pp. 198\u2013209. OpenProceedings.org (2017)"},{"key":"9526_CR35","unstructured":"Chirkova, R., Halevy, A.Y., Suciu, D.: A formal perspective on the view selection problem. In: 27th International Conference on Very Large Data Bases, vol. 1, pp. 59\u201368 (2001)"},{"key":"9526_CR36","unstructured":"O\u2019Neil, P.E., O\u2019Neil, E.J., Chen, X.: The star schema benchmark (ssb) (2009). https:\/\/www.cs.umb.edu\/~poneil\/StarSchemaB.PDF. Accessed 28 Nov 2018"},{"key":"9526_CR37","unstructured":"Friedman, J., Hastie, T., Tibshirani, R.: Clustering analysis. In: The elements of statistical learning: Data mining, inference and prediction, chap. 14, pp. 501\u2013520. Springer series in statistics, New York (2009)"},{"issue":"16","key":"9526_CR38","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1186\/s12859-017-1965-5","volume":"18","author":"A Sharma","year":"2017","unstructured":"Sharma, A., L\u00f3pez, Y., Tsunoda, T.: Divisive hierarchical maximum likelihood clustering. BMC Bioinform 18(16), 546 (2017)","journal-title":"BMC Bioinform"},{"key":"9526_CR39","unstructured":"M\u00fcllner, D.: Modern hierarchical, agglomerative clustering algorithms. Computing Research Repository (CoRR) (2011). arXiv:1109.2378"},{"issue":"1","key":"9526_CR40","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"PJ Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. J. Comput. Appl. Math. 20(1), 53\u201365 (1987)","journal-title":"J. Comput. Appl. Math."}],"container-title":["Journal of Network and Systems Management"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10922-020-09526-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10922-020-09526-z\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10922-020-09526-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,14]],"date-time":"2021-03-14T00:09:30Z","timestamp":1615680570000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10922-020-09526-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,14]]},"references-count":40,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,10]]}},"alternative-id":["9526"],"URL":"https:\/\/doi.org\/10.1007\/s10922-020-09526-z","relation":{},"ISSN":["1064-7570","1573-7705"],"issn-type":[{"value":"1064-7570","type":"print"},{"value":"1573-7705","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,14]]},"assertion":[{"value":"9 December 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 February 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 March 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 March 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}