{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T00:28:26Z","timestamp":1779323306668,"version":"3.51.4"},"reference-count":31,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2007,5,2]],"date-time":"2007-05-02T00:00:00Z","timestamp":1178064000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2007,5,2]],"date-time":"2007-05-02T00:00:00Z","timestamp":1178064000000},"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":["Data Min Knowl Disc"],"published-print":{"date-parts":[[2007,8]]},"DOI":"10.1007\/s10618-007-0063-0","type":"journal-article","created":{"date-parts":[[2007,5,1]],"date-time":"2007-05-01T13:18:54Z","timestamp":1178025534000},"page":"29-54","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Exploratory mining in cube space"],"prefix":"10.1007","volume":"15","author":[{"given":"Raghu","family":"Ramakrishnan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bee-Chung","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2007,5,2]]},"reference":[{"issue":"2","key":"63_CR1","doi-asserted-by":"publisher","first-page":"207","DOI":"10.1145\/170036.170072","volume":"22","author":"R Agrawal","year":"1993","unstructured":"Agrawal R, Imielinski T, Swami A (1993) Mining association rules between sets of items in large databases. ACM SIGMOD Record 22(2):207\u2013216","journal-title":"ACM SIGMOD Record"},{"issue":"3","key":"63_CR2","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1023\/A:1011224019249","volume":"16","author":"D Barbar\u00e1","year":"2001","unstructured":"Barbar\u00e1 D, Wu X (2001) Loglinear-based quasi cubes. J Intell Inf Syst 16(3):255\u2013276","journal-title":"J Intell Inf Syst"},{"issue":"1","key":"63_CR3","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L (2001) Random forests. Mach Learn 45(1):5\u201332","journal-title":"Mach Learn"},{"key":"63_CR4","unstructured":"Burdick D, Deshpande PM, Jayram TS, Ramakrishnan R, Vaithyanathan S (2005) OLAP over uncertain and imprecise data. In: Proceedings of the 31st international conference on very large data bases (VLDB 05), pp 970\u2013981"},{"key":"63_CR5","unstructured":"Burdick D, Deshpande PM, Jayram TS, Ramakrishnan R, Vaithyanathan S (2006) Efficient allocation algorithms for olap over imprecise data. In: Proceedings of the 32nd international conference on very large data bases (VLDB 06), pp 391\u2013402"},{"key":"63_CR6","doi-asserted-by":"crossref","unstructured":"Chen Y, Dong G, Han J, Wah BW, Wang J (2002) Multi-dimensional regression analysis of time-series data streams. In: Proceedings of the 28th international conference on very large data bases (VLDB 02), pp 323\u2013334","DOI":"10.1016\/B978-155860869-6\/50036-6"},{"key":"63_CR7","unstructured":"Chen B-C, Chen L, Lin Y, Ramakrishnan R (2005a) Prediction cubes. In: Proceedings of the 31st international conference on very large data bases (VLDB 05), pp 982\u2013993"},{"issue":"2","key":"63_CR8","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1007\/s10619-005-3296-1","volume":"18","author":"Y Chen","year":"2005","unstructured":"Chen Y, Dong G, Han J, Pei J, Wah BW, Wang J (2005b) Stream cube: an architecture for multi-dimensional analysis of data streams. Distribut Parallel Databases 18(2):173\u2013197","journal-title":"Distribut Parallel Databases"},{"key":"63_CR9","unstructured":"Chen B-C, Ramakrishnan R, Shavlik JW, Tamma P (2006a) Bellwether analysis: predicting global aggregates from local regions. In: Proceedings of the 32nd international conference on very large data bases (VLDB 06), pp 655\u2013666"},{"key":"63_CR10","unstructured":"Chen L, Ramakrishnan R, Barford P, Chen B-C, Yegneswaran V (2006b) Composite subset measures. In: Proceedings of the 32nd international conference on very large data bases (VLDB 06), pp 403\u2013414"},{"key":"63_CR11","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1023\/A:1020845814009","volume":"40","author":"A Danna","year":"2002","unstructured":"Danna A, Gandy O (2002) All the glitters is not gold: digging beneath the surface of data mining. J Bus Ethics 40:373\u2013386","journal-title":"J Bus Ethics"},{"key":"63_CR12","first-page":"363","volume":"18","author":"A Dobra","year":"2001","unstructured":"Dobra A, Fienberg SE (2001) Bounds for cell entries in contingency tables induced by fixed marginal totals with applications to disclosure limitation. Stat J U N 18:363\u2013371","journal-title":"Stat J U N"},{"key":"63_CR13","unstructured":"Dong G, Han J, Lam J, Pei J, Wang K (2001) Mining multi-dimensional constrained gradients in data cubes. In: Proceedings of the 27th international conference on very large data bases (VLDB 01), pp 321\u2013330"},{"key":"63_CR14","doi-asserted-by":"crossref","unstructured":"Fagin R, Guha R, Kumar R, Novak J, Sivakumar D, Tomkins A (2005a) Multi-structural databases. In: Proceedings of the 24th ACM SIGACT-SIGMOD-SIGART symposium on principles of database systems (PODS 05), pp 184\u2013195","DOI":"10.1145\/1065167.1065191"},{"key":"63_CR15","unstructured":"Fagin R, Kolaitis PG, Kumar R, Novak J, Sivakumar D, Tomkins A (2005b) Efficient implementation of large-scale multi-structural databases. In: Proceedings of the 31th international conference on very large data bases (VLDB 05), pp 958\u2013969"},{"key":"63_CR16","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1023\/A:1009726021843","volume":"1","author":"J Gray","year":"1997","unstructured":"Gray J, Chaudhuri S, Bosworth A, Layman A, Reichart D, Venkatrao M (1997) Data cube: a relational aggregate operator generalizing group-by, cross-tab, and sub-tables. J Data Min Knowl Discov 1:29\u201353","journal-title":"J Data Min Knowl Discov"},{"issue":"1","key":"63_CR17","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1145\/273244.273273","volume":"27","author":"J Han","year":"1998","unstructured":"Han J (1998) Towards on-line analytical mining in large databases. ACM SIGMOD Record 27(1):97\u2013107","journal-title":"ACM SIGMOD Record"},{"key":"63_CR18","doi-asserted-by":"crossref","unstructured":"Harinarayan V, Rajaraman A, Ullman JD (1996) Implementing data cubes efficiently. ACM SIGMOD Record 25(2):205\u2013216","DOI":"10.1145\/235968.233333"},{"key":"63_CR19","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1023\/A:1015417610840","volume":"6","author":"T Imielinski","year":"2002","unstructured":"Imielinski T, Khachiyan L, Abdulghani A (2002) Cubegrades: generalizing association rules. J Data Min Knowl Disov 6:219\u2013257","journal-title":"J Data Min Knowl Disov"},{"key":"63_CR20","doi-asserted-by":"crossref","unstructured":"Kifer D, Gehrke J (2006) Injecting utility into anonymized datasets. In: Proceedings of ACM SIGMOD international conference on management of data (SIGMOD 06), pp 217\u2013228","DOI":"10.1145\/1142473.1142499"},{"key":"63_CR21","doi-asserted-by":"crossref","unstructured":"LeFevre K, DeWitt D, Ramakrishnan R (2006) Workload-aware anonymization. In: Proceeding of the international conference on knowledge discovery and data mining (KDD 06), pp. 277\u2013286","DOI":"10.1145\/1150402.1150435"},{"key":"63_CR22","doi-asserted-by":"crossref","unstructured":"Machanavajjhala A, Gehrke J, Kifer D, Venkitasubramaniam M (2006) l-Diversity: privacy beyond k-anonymity. In: Proceedings of the 22nd international conference on data engineering (ICDE 06), pp 24.","DOI":"10.1109\/ICDE.2006.1"},{"key":"63_CR23","unstructured":"Margaritis D, Faloutsos C, Thrun S (2001) NetCube: a scalable tool for fast data mining and compression. In: Proceedings of the 27th international conference on very large data bases (VLDB 01), pp 311\u2013320"},{"key":"63_CR24","volume-title":"Machine learning","author":"TM Mitchell","year":"1997","unstructured":"Mitchell TM (1997) Machine learning. McGraw-Hill, New York"},{"issue":"1","key":"63_CR25","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1145\/1007730.1007731","volume":"6","author":"L Parsons","year":"2004","unstructured":"Parsons L, Haque E, Liu H (2004) Subspace clustering for high dimensional data: a review. ACM SIGKDD Explor Newsl 6(1):90\u2013105","journal-title":"ACM SIGKDD Explor Newsl"},{"key":"63_CR26","unstructured":"Samarati P, Sweeney L (1998) Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression. Technical Report SRI-CSL-98\u201304, SRI Computer Science Laboratory"},{"key":"63_CR27","unstructured":"Sarawagi S (1999) Explaining differences in multidimensional aggregates. In: Proceedings of the 25th international conference on very large data bases (VLDB 99), pp 42\u201353"},{"issue":"2\u20133","key":"63_CR28","doi-asserted-by":"crossref","first-page":"224","DOI":"10.1007\/s007780100046","volume":"10","author":"S Sarawagi","year":"2001","unstructured":"Sarawagi S (2001) User-cognizant multidimensional analysis. VLDB J 10(2\u20133):224\u2013239","journal-title":"VLDB J"},{"key":"63_CR29","doi-asserted-by":"crossref","unstructured":"Sarawagi S, Agrawal R, Megiddo N (1998) Discovery-driven exploration of OLAP data cubes. In: Proceedings of the 6th international conference on extending database technology (EDBT 98), 168\u2013182","DOI":"10.1007\/BFb0100984"},{"key":"63_CR30","unstructured":"Sathe G, Sarawagi S (2001) Intelligent rollups in multidimensional OLAP data. In: Proceedings of the 27th international conference on very large data bases (VLDB 01), pp 531\u2013540"},{"key":"63_CR31","volume-title":"Data mining: practical machine learning tools with java implementations","author":"IH Witten","year":"2000","unstructured":"Witten IH, Frank E (2000) Data mining: practical machine learning tools with java implementations. Morgan Kaufmann, San Francisco"}],"container-title":["Data Mining and Knowledge Discovery"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-007-0063-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10618-007-0063-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-007-0063-0.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10618-007-0063-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,3]],"date-time":"2024-05-03T13:35:15Z","timestamp":1714743315000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10618-007-0063-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2007,5,2]]},"references-count":31,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2007,8]]}},"alternative-id":["63"],"URL":"https:\/\/doi.org\/10.1007\/s10618-007-0063-0","relation":{},"ISSN":["1384-5810","1573-756X"],"issn-type":[{"value":"1384-5810","type":"print"},{"value":"1573-756X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2007,5,2]]},"assertion":[{"value":"7 June 2006","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2007","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 May 2007","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}