{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T14:01:34Z","timestamp":1725544894613},"publisher-location":"Berlin, Heidelberg","reference-count":15,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540425533"},{"type":"electronic","value":"9783540448013"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2001]]},"DOI":"10.1007\/3-540-44801-2_27","type":"book-chapter","created":{"date-parts":[[2010,2,9]],"date-time":"2010-02-09T17:00:36Z","timestamp":1265734836000},"page":"274-283","source":"Crossref","is-referenced-by-count":3,"title":["Improving the Performance of OLAP Queries Using Families of Statistics Trees"],"prefix":"10.1007","author":[{"given":"Joachim","family":"Hammer","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lixin","family":"Fu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2001,8,28]]},"reference":[{"key":"27_CR1","unstructured":"Arbor Systems, \u201cLarge-Scale Data Warehousing Using Hyperion Essbase OLAP Technology,\u201d Arbor Systems, White Paper, \n                    http:\/\/www.hyperion.com\/whitepapers.cfm"},{"issue":"1","key":"27_CR2","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1145\/248603.248616","volume":"26","author":"S. Chaudhuri","year":"1997","unstructured":"S. Chaudhuri and U. Dayal, \u201cAn Overview of Data Warehousing and OLAP Technology,\u201d SIGMOD Record, 26:1, pp. 65\u201374, 1997","journal-title":"SIGMOD Record"},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"L. Fu and J. Hammer, \u201cCubiST: A New Algorithm for Improving the Performance of Adhoc OLAP Queries,\u201d Proceedings of the ACM Third International Workshop on Data Warehousing and OLAP (DOLAP), Washington, DC, pp. 72\u201379, 2000","DOI":"10.1145\/355068.355318"},{"issue":"1","key":"27_CR4","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1023\/A:1009726021843","volume":"1","author":"J. Gray","year":"1997","unstructured":"J. Gray, S. Chaudhuri, A. Bosworth, A. Layman, D. Reichart, M. Venkatrao, F. Pellow, and H. Pirahesh, \u201cData Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals,\u201d Data Mining and Knowledge Discovery, 1:1, pp. 29\u201353, 1997","journal-title":"Data Mining and Knowledge Discovery"},{"key":"27_CR5","unstructured":"A. Gupta, V. Harinarayan, and D. Quass, \u201cAggregate-query Processing in Data Warehousing Environments,\u201d Proceedings of the Eighth International Conference on Very Large Databases, Zurich, Switzerland, pp. 358\u2013369, 1995"},{"key":"27_CR6","unstructured":"H. Gupta and I. Mumick, \u201cSelection of Views to Materialize Under a Maintenance Cost Constraint,\u201d Stanford University, Technical Report"},{"key":"27_CR7","unstructured":"J. Hammer and L. Fu, \u201cSpeeding Up Data Cube Queries with Statistics Trees,\u201d University of Florida, Gainesville, FL, Research report TR01-007, January 2001"},{"key":"27_CR8","doi-asserted-by":"crossref","unstructured":"W. Labio, D. Quass, and B. Adelberg, \u201cPhysical Database Design for Data Warehouses,\u201d in Proceedings of the International Conference on Database Engineering, Birmingham, England, pp. 277\u2013288, 1997","DOI":"10.1109\/ICDE.1997.581802"},{"key":"27_CR9","unstructured":"M. Lee and J. Hammer, \u201cSpeeding Up Warehouse Physical Design Using A Randomized Algorithm,\u201d Proceedings of the International Workshop on Design and Management of Data Warehouses (DMDW\u2019 99), Heidelberg, Germany, 1999"},{"key":"27_CR10","unstructured":"D. Lomet, ed. Bulletin of the Technical Committee on Data Engineering. Special Issue on Materialized Views and Data Warehousing, ed. J. Widom. 18, IEEE Computer Society, 1995"},{"key":"27_CR11","unstructured":"MicroStrategy Inc., \u201cThe Case For Relational OLAP,\u201d MicroStrategy, White Paper, \n                    http:\/\/www.microstrategy.com\/publications\/whitepapers\/Case4Rolap\/"},{"issue":"2","key":"27_CR12","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1145\/253262.253268","volume":"26","author":"P. O\u2019Neil","year":"1997","unstructured":"P. O\u2019Neil and D. Quass, \u201cImproved Query Performance with Variant Indexes,\u201d SIGMOD Record, 26:2, pp. 38\u201349, 1997","journal-title":"SIGMOD Record"},{"key":"27_CR13","unstructured":"14. Oracle Corp., \u201cOracle Express OLAP Technology,\u201d \n                    http:\/\/www.oracle.com\/olap\/"},{"key":"27_CR14","unstructured":"Redbrick Systems, \u201cInformix Redbrick Decision Server,\u201d Redbrick, Los Gatos, CA, Product Overview and Data Sheet, \n                    http:\/\/www.informix.com\/redbrick\/"},{"key":"27_CR15","unstructured":"W.P. Yan and P. Larson, \u201cEager Aggregation and Lazy Aggregation,\u201d Proceedings of the Eighth International Conference on Very Large Databases, Zurich, Switzerland, pp. 345\u2013357, 1995"}],"container-title":["Lecture Notes in Computer Science","Data Warehousing and Knowledge Discovery"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44801-2_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,2,23]],"date-time":"2019-02-23T21:26:33Z","timestamp":1550957193000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44801-2_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001]]},"ISBN":["9783540425533","9783540448013"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/3-540-44801-2_27","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2001]]}}}