{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:58:52Z","timestamp":1758272332317,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2009,6,28]],"date-time":"2009-06-28T00:00:00Z","timestamp":1246147200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2009,6,28]]},"DOI":"10.1145\/1557019.1557065","type":"proceedings-article","created":{"date-parts":[[2009,6,30]],"date-time":"2009-06-30T13:10:54Z","timestamp":1246367454000},"page":"379-388","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":50,"title":["Tell me something I don't know"],"prefix":"10.1145","author":[{"given":"Sami","family":"Hanhij\u00e4rvi","sequence":"first","affiliation":[{"name":"Helsinki University of Technology, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markus","family":"Ojala","sequence":"additional","affiliation":[{"name":"Helsinki University of Technology, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Niko","family":"Vuokko","sequence":"additional","affiliation":[{"name":"Helsinki University of Technology, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kai","family":"Puolam\u00e4ki","sequence":"additional","affiliation":[{"name":"Helsinki University of Technology, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nikolaj","family":"Tatti","sequence":"additional","affiliation":[{"name":"Helsinki University of Technology, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heikki","family":"Mannila","sequence":"additional","affiliation":[{"name":"Helsinki University of Technology, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2009,6,28]]},"reference":[{"doi-asserted-by":"publisher","key":"e_1_3_2_2_1_1","DOI":"10.1111\/j.2517-6161.1995.tb02031.x"},{"doi-asserted-by":"crossref","unstructured":"Julian Besag. Markov chain Monte Carlo methods for statistical inference. http:\/\/www.ims.nus.edu.sg\/Programs\/mcmc\/files\/besag\\_tl.pdf 2004.  Julian Besag. Markov chain Monte Carlo methods for statistical inference. http:\/\/www.ims.nus.edu.sg\/Programs\/mcmc\/files\/besag\\_tl.pdf 2004.","key":"e_1_3_2_2_2_1","DOI":"10.1007\/978-1-4419-9017-4_11"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_3_1","DOI":"10.1093\/biomet\/76.4.633"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_4_1","DOI":"10.1007\/s10618-006-0054-6"},{"key":"e_1_3_2_2_5_1","volume-title":"An application of markov chain monte carlo to community ecology. American Mathematical Monthly, (110):264--288","author":"Cobb G. W.","year":"2003","unstructured":"G. W. Cobb and Y.-P. Chen . An application of markov chain monte carlo to community ecology. American Mathematical Monthly, (110):264--288 , 2003 . G. W. Cobb and Y.-P. Chen. An application of markov chain monte carlo to community ecology. American Mathematical Monthly, (110):264--288, 2003."},{"unstructured":"Mikael Fortelius and Jussi Eronen. Now - neogene of the old world. http:\/\/www.helsinki.fi\/science\/now\/ 2005. Database of fossil mammals.  Mikael Fortelius and Jussi Eronen. Now - neogene of the old world. http:\/\/www.helsinki.fi\/science\/now\/ 2005. Database of fossil mammals.","key":"e_1_3_2_2_6_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_7_1","DOI":"10.1007\/978-3-540-74976-9_44"},{"key":"e_1_3_2_2_8_1","volume-title":"Computing Science and Statistics: Proc. of 23rd Symposium on the Interface Foundation","author":"Geyer Charles J.","year":"1991","unstructured":"Charles J. Geyer . Markov chain monte carlo maximum likelihood . In Computing Science and Statistics: Proc. of 23rd Symposium on the Interface Foundation , 1991 . Charles J. Geyer. Markov chain monte carlo maximum likelihood. In Computing Science and Statistics: Proc. of 23rd Symposium on the Interface Foundation, 1991."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_9_1","DOI":"10.1145\/1297332.1297338"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-3235-1","volume-title":"Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses","author":"Good Phillip","year":"2000","unstructured":"Phillip Good . Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses . Springer-Verlag , 2000 . Phillip Good. Permutation Tests: A Practical Guide to Resampling Methods for Testing Hypotheses. Springer-Verlag, 2000."},{"key":"e_1_3_2_2_11_1","volume-title":"Scandinavian Journal of Statistics","author":"Holm S.","year":"1979","unstructured":"S. Holm . A simple sequentially rejective multiple test procedure . Scandinavian Journal of Statistics , 1979 . S. Holm. A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 1979."},{"key":"e_1_3_2_2_12_1","volume-title":"Local Patterns to Global Models (LeGo'08) Workshop at the the European Conference on Principles and Practice of Knowledge Discovery in Databases","author":"Jaroszewicz Szymon","year":"2008","unstructured":"Szymon Jaroszewicz . Interactive hmm construction based on interesting sequences . In Local Patterns to Global Models (LeGo'08) Workshop at the the European Conference on Principles and Practice of Knowledge Discovery in Databases , 2008 . Szymon Jaroszewicz. Interactive hmm construction based on interesting sequences. In Local Patterns to Global Models (LeGo'08) Workshop at the the European Conference on Principles and Practice of Knowledge Discovery in Databases, 2008."},{"key":"e_1_3_2_2_13_1","volume-title":"Proc. of the 1991 Knowledge Discovery in Databases Workshop","author":"Jensen David","year":"1991","unstructured":"David Jensen . Knowledge discovery through induction with randomization testing . In Proc. of the 1991 Knowledge Discovery in Databases Workshop , 1991 . David Jensen. Knowledge discovery through induction with randomization testing. In Proc. of the 1991 Knowledge Discovery in Databases Workshop, 1991."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_14_1","DOI":"10.1063\/1.1699114"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_15_1","DOI":"10.1007\/978-3-540-39804-2_30"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_16_1","DOI":"10.1137\/1.9781611972788.45"},{"key":"e_1_3_2_2_17_1","volume-title":"Computational Complexity","author":"Papadimitriou Christos H.","year":"1994","unstructured":"Christos H. Papadimitriou . Computational Complexity . Addison-Wesley , 1994 . Christos H. Papadimitriou. Computational Complexity. Addison-Wesley, 1994."},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_18_1","DOI":"10.1007\/s10994-007-5006-x"},{"doi-asserted-by":"publisher","key":"e_1_3_2_2_19_1","DOI":"10.1007\/s10994-008-5046-x"},{"key":"e_1_3_2_2_20_1","volume-title":"Resampling-based multiple testing: examples and methods for p-value adjustment","author":"Westfall Peter H.","year":"1993","unstructured":"Peter H. Westfall and S. Stanley Young . Resampling-based multiple testing: examples and methods for p-value adjustment . Wiley , 1993 . Peter H. Westfall and S. Stanley Young. Resampling-based multiple testing: examples and methods for p-value adjustment. Wiley, 1993."}],"event":{"sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","ACM Association for Computing Machinery"],"acronym":"KDD09","name":"KDD09: The 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining","location":"Paris France"},"container-title":["Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1557019.1557065","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1557019.1557065","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T13:38:40Z","timestamp":1750253920000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1557019.1557065"}},"subtitle":["randomization strategies for iterative data mining"],"short-title":[],"issued":{"date-parts":[[2009,6,28]]},"references-count":20,"alternative-id":["10.1145\/1557019.1557065","10.1145\/1557019"],"URL":"https:\/\/doi.org\/10.1145\/1557019.1557065","relation":{},"subject":[],"published":{"date-parts":[[2009,6,28]]},"assertion":[{"value":"2009-06-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}