{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T12:26:56Z","timestamp":1759667216169,"version":"3.37.3"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2010,7,1]],"date-time":"2010-07-01T00:00:00Z","timestamp":1277942400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Knowl Inf Syst"],"published-print":{"date-parts":[[2011,7]]},"DOI":"10.1007\/s10115-010-0315-y","type":"journal-article","created":{"date-parts":[[2010,6,30]],"date-time":"2010-06-30T15:04:41Z","timestamp":1277910281000},"page":"149-173","source":"Crossref","is-referenced-by-count":3,"title":["Record-level peculiarity-based data analysis and classifications"],"prefix":"10.1007","volume":"28","author":[{"given":"Jian","family":"Yang","sequence":"first","affiliation":[]},{"given":"Ning","family":"Zhong","sequence":"additional","affiliation":[]},{"given":"Yiyu","family":"Yao","sequence":"additional","affiliation":[]},{"given":"Jue","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2010,7,1]]},"reference":[{"key":"315_CR1","doi-asserted-by":"crossref","unstructured":"Abe N, Zadrozny B (2006) Outlier detection by active learning. In: Proceeding of the 12th ACM SIGKDD international conference on knowledge discovery and data mining, pp 504\u2013509","DOI":"10.1145\/1150402.1150459"},{"key":"315_CR2","doi-asserted-by":"crossref","unstructured":"Angiulli F, Pizzuti C (2002) Fast outlier detection in high dimensional spaces. In: Proceeding of the 6th European conference on principles of data mining and knowledge discovery, pp 15\u201326","DOI":"10.1007\/3-540-45681-3_2"},{"issue":"1","key":"315_CR3","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1007\/s10115-009-0205-3","volume":"23","author":"LM Aouad","year":"2010","unstructured":"Aouad LM, Le-Khac N-A, Kechadi TM (2010) Performance study of distributed apriori-like frequent itemsets mining. Knowl Inf Syst 23(1): 55\u201372","journal-title":"Knowl Inf Syst"},{"key":"315_CR4","unstructured":"Bhamidipati NL, Pal SK (2006) Comparing rank-inducing scoring systems. In: Proceeding of the 18th international conference on pattern recognition, pp 300\u2013303"},{"key":"315_CR5","doi-asserted-by":"crossref","DOI":"10.1093\/oso\/9780198538493.001.0001","volume-title":"Neural networks for pattern recognition","author":"C Bishop","year":"1995","unstructured":"Bishop C (1995) Neural networks for pattern recognition. Oxford University Press, Oxford"},{"issue":"1","key":"315_CR6","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s10115-008-0141-7","volume":"18","author":"A Blumenstock","year":"2009","unstructured":"Blumenstock A, Schweiggert F, M\u00fcller M, Lanquillon M (2009) Rule cubes for causal investigations. Knowl Inf Syst 18(1): 109\u2013132","journal-title":"Knowl Inf Syst"},{"issue":"1","key":"315_CR7","doi-asserted-by":"crossref","first-page":"65","DOI":"10.1007\/s10115-009-0212-4","volume":"21","author":"M Boley","year":"2009","unstructured":"Boley M, Grosskreutz H (2009) Approximating the number of frequent sets in dense data. Knowl Inf Syst 21(1): 65\u201389","journal-title":"Knowl Inf Syst"},{"key":"315_CR8","doi-asserted-by":"crossref","unstructured":"Breunig MM, Kriegel HP Ng RT, Sander J (2000) Lof: identifying density-based local outliers. In: Proceeding of the 6th ACM SIGMOD international conference on management of data, pp 93\u2013104","DOI":"10.1145\/335191.335388"},{"issue":"13","key":"315_CR9","first-page":"1501","volume":"14","author":"V Chandola","year":"2009","unstructured":"Chandola V, Banerjee A, Kumar V (2009) Anomaly detection: a survey. ACM Comput Surv 14(13): 1501\u20131558","journal-title":"ACM Comput Surv"},{"key":"315_CR10","volume-title":"Pattern classification","author":"R Duda","year":"2000","unstructured":"Duda R, Hart P, Stork D (2000) Pattern classification, 2nd edn. Wiley, New York","edition":"2"},{"key":"315_CR11","doi-asserted-by":"crossref","unstructured":"Eskin E, Arnold A, Prerau M, Portnoy L, Stolfo S (2002) A geometric framework for unsupervised anomaly detection: detecting intrusions in unlabeled data. In: Applications of data mining in computer security","DOI":"10.1007\/978-1-4615-0953-0_4"},{"key":"315_CR12","doi-asserted-by":"crossref","first-page":"957","DOI":"10.1109\/34.232083","volume":"15","author":"A Farago","year":"1993","unstructured":"Farago A, Linder T, Lugosi G (1993) Fast nearest-neighbor search in dissimilarity spaces. IEEE Trans Pattern Anal Mach Intell 15: 957\u2013962","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"315_CR13","first-page":"345","volume":"24","author":"QP He","year":"2007","unstructured":"He QP, Wang J (2007) Fault detection using the k-nearest neighbor rule for semiconductor manufacturing processes. IEEE Trans Semicond Manuf 24: 345\u2013354","journal-title":"IEEE Trans Semicond Manuf"},{"key":"315_CR14","unstructured":"He ZY, Xu XF, Huang ZX, Deng SC (2004) A frequent pattern discovery method for outlier detection. In: Proceedings of the 5th international conference on web-age information management, LNCS 3129, pp 726\u2013732"},{"issue":"1","key":"315_CR15","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1006\/jcss.1997.1504","volume":"55","author":"Y Freund","year":"1997","unstructured":"Freund Y, Schapire R (1997) A decision-theoretic generalization of on-line learning and an application to boosting. J Comput Syst Sci 55(1): 119\u2013139","journal-title":"J Comput Syst Sci"},{"issue":"2","key":"315_CR16","doi-asserted-by":"crossref","first-page":"214","DOI":"10.1214\/ss\/1009212248","volume":"14","author":"A Hald","year":"1999","unstructured":"Hald A (1999) On the history of maximum likelihood in relation to inverse probability and least squares. Stat Sci 14(2): 214\u2013222","journal-title":"Stat Sci"},{"key":"315_CR17","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1007\/BF02579150","volume":"4","author":"N Karmarkar","year":"1984","unstructured":"Karmarkar N (1984) A new polynomial-time algorithm for linear programming. Combinatorica 4: 373\u2013395","journal-title":"Combinatorica"},{"key":"315_CR18","doi-asserted-by":"crossref","unstructured":"Lazarevic A, Kumar V (2005) Feature bagging for outlier detection. In: Proceedings of the 11th ACM SIGKDD international conference on knowledge discovery and data mining, pp 157\u2013166","DOI":"10.1145\/1081870.1081891"},{"key":"315_CR19","doi-asserted-by":"crossref","unstructured":"McCallum A, Nigam K, Ungar LH (2000) Efficient clustering of high-dimensional data sets with application to reference matching. In: Proceedings of the 6th ACM SIGKDD international conference on knowledge discovery and data mining, pp 169\u2013178","DOI":"10.1145\/347090.347123"},{"key":"315_CR20","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1017\/S0269888905000408","volume":"20","author":"K Mcgarry","year":"2005","unstructured":"Mcgarry K (2005) A survey of interestingness measures for knowledge discovery. The Knowl Eng Rev 20: 39\u201361","journal-title":"The Knowl Eng Rev"},{"key":"315_CR21","doi-asserted-by":"crossref","unstructured":"Mika S, R\u00e4tsch G, Weston J, Sch\u00f6lkopf B, M\u00fcller KR (1999) Fisher discriminant analysis with kernels. In: Neural networks for signal processing IX, pp 41\u201348","DOI":"10.1109\/NNSP.1999.788121"},{"key":"315_CR22","doi-asserted-by":"crossref","first-page":"249","DOI":"10.1007\/s10618-006-0046-6","volume":"15","author":"M Ohshima","year":"2007","unstructured":"Ohshima M, Zhong N, Yao YY, Liu C (2007) Relational peculiarity oriented mining. Data Min and Knowl Discov 15: 249\u2013273","journal-title":"Data Min and Knowl Discov"},{"key":"315_CR23","doi-asserted-by":"crossref","unstructured":"Ohshima M, Zhong N, Yao YY, Murata S (2004) Peculiarity oriented analysis in multi-people tracking images. In: Advances in knowledge discovery and data mining, pp 508\u2013518","DOI":"10.1007\/978-3-540-24775-3_61"},{"key":"315_CR24","doi-asserted-by":"crossref","unstructured":"Ramaswamy S, Rastogi R, Kyuseok S (2000) Efficient algorithms for mining outliers from large data sets. In: Proceedings of the 6th ACM SIGMOD international conference on management of data, pp 427\u2013438","DOI":"10.1145\/335191.335437"},{"key":"315_CR25","unstructured":"R\u00e4tsch G (2001) Robust boosting via convex optimization. PhD thesis, University of Potsdam"},{"key":"315_CR26","doi-asserted-by":"crossref","first-page":"283","DOI":"10.1023\/A:1007618119488","volume":"42","author":"G R\u00e4tsch","year":"2001","unstructured":"R\u00e4tsch G, Onoda T, M\u00fcller KR (2001) Soft margins for adaboost. Mach Learn 42: 283\u2013320","journal-title":"Mach Learn"},{"key":"315_CR27","doi-asserted-by":"crossref","first-page":"1299","DOI":"10.1162\/089976698300017467","volume":"10","author":"B Sch\u00f6lkopf","year":"1998","unstructured":"Sch\u00f6lkopf B, Smola A, M\u00fcller KR (1998) Nonlinear component analysis as a kernel eigenvalue problem. Neural Comput 10: 1299\u20131319","journal-title":"Neural Comput"},{"issue":"1","key":"315_CR28","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1007\/s10115-009-0207-1","volume":"23","author":"B Shen","year":"2010","unstructured":"Shen B, Yao M, Wu ZH, Gao YJ (2010) Mining dynamic association rules with comments. Knowl Inf Syst 23(1): 73\u201398","journal-title":"Knowl Inf Syst"},{"issue":"6","key":"315_CR29","doi-asserted-by":"crossref","first-page":"970","DOI":"10.1109\/69.553165","volume":"8","author":"A Silbverschatz","year":"1996","unstructured":"Silbverschatz A, Tuzhilin A (1996) What makes patterns interesting in knowledge discovery systems. IEEE Trans Know Data Eng 8(6): 970\u2013974","journal-title":"IEEE Trans Know Data Eng"},{"key":"315_CR30","volume-title":"Statistical learning theory","author":"V Vapnik","year":"1998","unstructured":"Vapnik V (1998) Statistical learning theory. Wiley, New York"},{"key":"315_CR31","unstructured":"Yao YY, Zhong N (2002) An analysis of peculiarity oriented data mining. In: Proceedings of the 2002 IEEE international conference on data mining workshop on the foundation of data mining and Discovery, pp 185\u2013188"},{"key":"315_CR32","doi-asserted-by":"crossref","unstructured":"Yang J, Zhong N, Yao YY, Wang J (2008) Local peculiarity factor and its application in outlier detection. In: Proceedings of the 14th ACM SIGKDD international conference on knowledge discovery and data mining, pp 776\u2013784","DOI":"10.1145\/1401890.1401983"},{"key":"315_CR33","doi-asserted-by":"crossref","unstructured":"Yang J, Zhong N, Yao YY, Wang J (2009) Peculiarity analysis for classifications. In: Proceedings of the 2009 IEEE international conference on data mining, pp 607\u2013616","DOI":"10.1109\/ICDM.2009.31"},{"key":"315_CR34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1080\/10556789808805699","volume":"10","author":"Y Zhang","year":"1998","unstructured":"Zhang Y (1998) Solving large-scale linear programs by interior-point methods under the matlab environment. Optim Methods Softw 10: 1\u201331","journal-title":"Optim Methods Softw"},{"issue":"4","key":"315_CR35","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1109\/TPAMI.2004.1265868","volume":"26","author":"B Zhang","year":"2004","unstructured":"Zhang B, Srihari SN (2004) Fast k-nearest neighbor classification using cluster-based trees. IEEE Trans Pattern Anal Mach Intell 26(4): 525\u2013528","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"315_CR36","doi-asserted-by":"crossref","first-page":"333","DOI":"10.1007\/s10115-006-0020-z","volume":"10","author":"J Zhang","year":"2006","unstructured":"Zhang J, Wang H (2006) Detecting outlying subspaces for high-dimensional data the new task algorithms and performance. Knowl Inf Syst 10: 333\u2013355","journal-title":"Knowl Inf Syst"},{"key":"315_CR37","doi-asserted-by":"crossref","unstructured":"Zhong N, Liu C, Yao YY, Ohshima M, Huang MX, Huang JJ (2004) Relational peculiarity oriented data mining. In: Proceedings of the 2004 IEEE international conference on data mining, pp 575\u2013578","DOI":"10.1109\/ICDM.2004.10008"},{"key":"315_CR38","doi-asserted-by":"crossref","first-page":"952","DOI":"10.1109\/TKDE.2003.1209011","volume":"15","author":"N Zhong","year":"2003","unstructured":"Zhong N, Yao YY, Ohshima M (2003) Peculiarity oriented multi-database mining. IEEE Trans Knowl Data Eng 15: 952\u2013960","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"315_CR39","doi-asserted-by":"crossref","unstructured":"Zhong N, Ohshima M, Ohsuga S (2001a) Peculiarity oriented mining and its application for knowledge discovery in amino-acid data. In: advances in knowledge discovery and data mining, pp 260\u2013269","DOI":"10.1007\/3-540-45357-1_29"},{"key":"315_CR40","unstructured":"Zhong N, Yao YY, Ohshima M, Ohsuga S (2001b) Interestingness, peculiarity, and multi-database mining. In: Proceedings of the 2001 IEEE international conference on data mining, pp 566\u2013573"}],"container-title":["Knowledge and Information Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-010-0315-y.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10115-010-0315-y\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10115-010-0315-y","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,22]],"date-time":"2025-02-22T10:52:18Z","timestamp":1740221538000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10115-010-0315-y"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010,7,1]]},"references-count":40,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2011,7]]}},"alternative-id":["315"],"URL":"https:\/\/doi.org\/10.1007\/s10115-010-0315-y","relation":{},"ISSN":["0219-1377","0219-3116"],"issn-type":[{"type":"print","value":"0219-1377"},{"type":"electronic","value":"0219-3116"}],"subject":[],"published":{"date-parts":[[2010,7,1]]}}}