{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,6]],"date-time":"2025-12-06T16:41:09Z","timestamp":1765039269141,"version":"3.37.3"},"reference-count":26,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2015,4,26]],"date-time":"2015-04-26T00:00:00Z","timestamp":1430006400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61103042"],"award-info":[{"award-number":["61103042"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2014M552371"],"award-info":[{"award-number":["2014M552371"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"Specialized Research Fund for the Doctoral Program of Higher Education","doi-asserted-by":"publisher","award":["20100181120029"],"award-info":[{"award-number":["20100181120029"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"NSERC Discovery grant","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"BCIC NRAS Team Project","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"ARC Future Fellowship","doi-asserted-by":"publisher","award":["FT110100112"],"award-info":[{"award-number":["FT110100112"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2016,4]]},"DOI":"10.1007\/s10115-015-0835-6","type":"journal-article","created":{"date-parts":[[2015,4,25]],"date-time":"2015-04-25T03:29:12Z","timestamp":1429932552000},"page":"99-129","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Efficient discovery of contrast subspaces for object explanation and characterization"],"prefix":"10.1007","volume":"47","author":[{"given":"Lei","family":"Duan","sequence":"first","affiliation":[]},{"given":"Guanting","family":"Tang","sequence":"additional","affiliation":[]},{"given":"Jian","family":"Pei","sequence":"additional","affiliation":[]},{"given":"James","family":"Bailey","sequence":"additional","affiliation":[]},{"given":"Guozhu","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Vinh","family":"Nguyen","sequence":"additional","affiliation":[]},{"given":"Akiko","family":"Campbell","sequence":"additional","affiliation":[]},{"given":"Changjie","family":"Tang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,4,26]]},"reference":[{"key":"835_CR1","doi-asserted-by":"crossref","first-page":"37","DOI":"10.1145\/376284.375668","volume":"30","author":"CC Aggarwal","year":"2001","unstructured":"Aggarwal CC, Yu PS (2001) Outlier detection for high dimensional data. ACM Sigmod Rec 30:37\u201346","journal-title":"ACM Sigmod Rec"},{"key":"835_CR2","unstructured":"Bache K, Lichman M (2013) UCI machine learning repository"},{"issue":"3","key":"835_CR3","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1023\/A:1011429418057","volume":"5","author":"SD Bay","year":"2001","unstructured":"Bay SD, Pazzani MJ (2001) Detecting group differences: mining contrast sets. Data Min Knowl Discov 5(3):213\u2013246","journal-title":"Data Min Knowl Discov"},{"key":"835_CR4","doi-asserted-by":"crossref","unstructured":"Beyer K, Goldstein J, Ramakrishnan R, Shaft U (1999) When is \u201cnearest neighbor\u201d meaningful? In: Proc. of the 7th Int\u2019l Conf on Database Theory, pp 217\u2013235","DOI":"10.1007\/3-540-49257-7_15"},{"key":"835_CR5","unstructured":"B\u00f6hm K, Keller F, M\u00fcller E, Nguyen HV, Vreeken J (2013) CMI: An information-theoretic contrast measure for enhancing subspace cluster and outlier detection. In: Proc. of the 13th SIAM Int\u2019l Conf on Data Min, pp 198\u2013206"},{"key":"835_CR6","doi-asserted-by":"crossref","unstructured":"Breunig MM, Kriegel HP, Ng RT, Sander J (2000) LOF: Identifying density-based local outliers. In: Proc. of the 2000 ACM SIGMOD Int\u2019l Conf on Manag of data, pp 93\u2013104","DOI":"10.1145\/342009.335388"},{"key":"835_CR7","doi-asserted-by":"crossref","unstructured":"Cai Y, Zhao HK, Han H, Lau RYK, Leung HF, Min H (2012) Answering typicality query based on automatically prototype construction. In: Proc. of the 2012 IEEE\/WIC\/ACM Int\u2019l Joint Conf Web Intell Intell Agent Technol, 01:362\u2013366","DOI":"10.1109\/WI-IAT.2012.116"},{"key":"835_CR8","doi-asserted-by":"crossref","unstructured":"Chen L, Dong G (2006) Masquerader detection using OCLEP: one class classification using length statistics of emerging patterns. In: Proc. of Int\u2019l workshop on information Processing over Evolving Networks (WINPEN), p 5","DOI":"10.1109\/WAIMW.2006.19"},{"volume-title":"Contrast data mining: concepts, algorithms, and applications","year":"2013","key":"835_CR9","unstructured":"Dong G, Bailey J (eds) (2013) Contrast data mining: concepts, algorithms, and applications. CRC Press, Boca Raton"},{"key":"835_CR10","doi-asserted-by":"crossref","unstructured":"Dong G, Li J (1999) Efficient mining of emerging patterns: discovering trends and differences. In: Proc. of the 5th ACM SIGKDD Int\u2019l Conf on Knowledge Discovery and Data Mining, pp 43\u201352","DOI":"10.1145\/312129.312191"},{"key":"835_CR11","doi-asserted-by":"crossref","unstructured":"Duan L, Tang G, Pei J, Bailey J, Dong G, Campbell A, Tang C (2014) Mining contrast subspaces. In: Proc. of the 18th Pacific-Asia Conf on Knowledge Discovery and Data Mining, pp 249\u2013260","DOI":"10.1007\/978-3-319-06608-0_21"},{"key":"835_CR12","doi-asserted-by":"crossref","unstructured":"Fagin R, Kumar R, Sivakumar D (2003) Comparing top k lists. In: Proc. of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, pp 28\u201336","DOI":"10.1137\/S0895480102412856"},{"issue":"1","key":"835_CR13","doi-asserted-by":"crossref","first-page":"103","DOI":"10.2298\/CSIS0501103H","volume":"2","author":"Z He","year":"2005","unstructured":"He Z, Xu X, Huang ZJ, Deng S (2005) FP-outlier: frequent pattern based outlier detection. Comput Sci Inf Syst 2(1):103\u2013118","journal-title":"Comput Sci Inf Syst"},{"issue":"3","key":"835_CR14","doi-asserted-by":"crossref","first-page":"809","DOI":"10.1007\/s00778-008-0128-8","volume":"18","author":"M Hua","year":"2009","unstructured":"Hua M, Pei J, Fu AW, Lin X, Leung HF (2009) Top-k typicality queries and efficient query answering methods on large databases. VLDB J 18(3):809\u2013835","journal-title":"VLDB J"},{"key":"835_CR15","unstructured":"Jeffreys H (1961) The theory of probability, 3rd edn. Oxford"},{"key":"835_CR16","doi-asserted-by":"crossref","unstructured":"Keller F, M\u00fcller E, B\u00f6hm K (2012) HiCS: high contrast subspaces for density-based outlier ranking. In: Proc. of the IEEE 28th Int\u2019l Conf on Data Engineering, pp 1037\u20131048","DOI":"10.1109\/ICDE.2012.88"},{"key":"835_CR17","doi-asserted-by":"crossref","unstructured":"Kriegel HP, Schubert M, Zimek A (2008) Angle-based outlier detection in high-dimensional data. In: Proc. of the 14th ACM SIGKDD Int\u2019l Conf on Knowledge Discovery and Data Mining, pp 444\u2013452","DOI":"10.1145\/1401890.1401946"},{"key":"835_CR18","doi-asserted-by":"crossref","unstructured":"Kriegel HP, Kr\u00f6ger P, Schubert E, Zimek A (2009) Outlier detection in axis-parallel subspaces of high dimensional data. In: Proc. of the 13th Pacific-Asia Conf on Knowledge Discovery and Data Mining, pp 831\u2013838","DOI":"10.1007\/978-3-642-01307-2_86"},{"key":"835_CR19","first-page":"377","volume":"10","author":"PK Novak","year":"2009","unstructured":"Novak PK, Lavrac N, Webb GI (2009) Supervised descriptive rule discovery: a unifying survey of contrast set, emerging pattern and subgroup mining. J Mach Learn Res 10:377\u2013403","journal-title":"J Mach Learn Res"},{"issue":"3","key":"835_CR20","doi-asserted-by":"crossref","first-page":"425","DOI":"10.1016\/0022-0000(91)90023-X","volume":"43","author":"CH Papadimitriou","year":"1991","unstructured":"Papadimitriou CH, Yannakakis M (1991) Optimization, approximation, and complexity classes. J Comput Syst Sci 43(3):425\u2013440","journal-title":"J Comput Syst Sci"},{"key":"835_CR21","unstructured":"Rymon R (1992) Search through systematic set enumeration. In: Proc. of the 3rd Int\u2019l Conf on Principles of Knowledge Representation and Reasoning, pp 539\u2013550"},{"key":"835_CR22","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-3324-9","volume-title":"Density estimation for statistics and data analysis","author":"BW Silverman","year":"1986","unstructured":"Silverman BW (1986) Density estimation for statistics and data analysis. Chapman and Hall\/CRC, London"},{"issue":"1","key":"835_CR23","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.tcs.2004.12.014","volume":"335","author":"L Wang","year":"2005","unstructured":"Wang L, Zhao H, Dong G, Li J (2005) On the complexity of finding emerging patterns. Theor Comput Sci 335(1):15\u201327","journal-title":"Theor Comput Sci"},{"issue":"4","key":"835_CR24","doi-asserted-by":"crossref","first-page":"20:1","DOI":"10.1145\/1852102.1852106","volume":"28","author":"W Webber","year":"2010","unstructured":"Webber W, Moffat A, Zobel J (2010) A similarity measure for indefinite rankings. ACM Trans Inf Syst 28(4):20:1\u201320:38","journal-title":"ACM Trans Inf Syst"},{"key":"835_CR25","doi-asserted-by":"crossref","unstructured":"Wrobel S (1997) An algorithm for multi-relational discovery of subgroups. In: Proc. of the 1st European Symposium on Principles of Data Mining and Knowledge Discovery, pp 78\u201387","DOI":"10.1007\/3-540-63223-9_108"},{"key":"835_CR26","doi-asserted-by":"crossref","unstructured":"Wu S, Crestani F (2003) Methods for ranking information retrieval systems without relevance judgments. In: Proc. of the 2003 ACM Symposium on Applied Computing. ACM, New York, NY, USA, pp 811\u2013816","DOI":"10.1145\/952532.952693"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-015-0835-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-015-0835-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-015-0835-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,23]],"date-time":"2019-08-23T23:13:08Z","timestamp":1566601988000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-015-0835-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,4,26]]},"references-count":26,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2016,4]]}},"alternative-id":["835"],"URL":"https:\/\/doi.org\/10.1007\/s10115-015-0835-6","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"type":"print","value":"0219-1377"},{"type":"electronic","value":"0219-3116"}],"subject":[],"published":{"date-parts":[[2015,4,26]]}}}