{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T12:57:38Z","timestamp":1725541058264},"publisher-location":"Berlin, Heidelberg","reference-count":21,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642051784"},{"type":"electronic","value":"9783642051791"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-05179-1_12","type":"book-chapter","created":{"date-parts":[[2009,11,27]],"date-time":"2009-11-27T21:31:01Z","timestamp":1259357461000},"page":"245-257","source":"Crossref","is-referenced-by-count":5,"title":["Cluster-Lift Method for Mapping Research Activities over a Concept Tree"],"prefix":"10.1007","author":[{"given":"Boris","family":"Mirkin","sequence":"first","affiliation":[]},{"given":"Susana","family":"Nascimento","sequence":"additional","affiliation":[]},{"given":"Lu\u00eds Moniz","family":"Pereira","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"12_CR1","unstructured":"ACM Computing Classification System (1998), \n                    \n                      http:\/\/www.acm.org\/about\/class\/1998\n                    \n                    \n                   (Cited 9 September 2008)"},{"key":"12_CR2","first-page":"6","volume-title":"Proc. of the 10th Asia-Pacific Software Engineering Conference (APSEC 2003)","author":"M. Feather","year":"2003","unstructured":"Feather, M., Menzies, T., Connelly, J.: Matching software practitioner needs to researcher activities. In: Proc. of the 10th Asia-Pacific Software Engineering Conference (APSEC 2003), p. 6. IEEE, Los Alamitos (2003)"},{"issue":"1","key":"12_CR3","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1137\/0218003","volume":"18","author":"G. Gallo","year":"1989","unstructured":"Gallo, G., Grigoriadis, M.D., Tarjan, R.E.: A fast parametric maximum flow algorithm and applications. SIAM Journal on Computing\u00a018(1), 30\u201355 (1989)","journal-title":"SIAM Journal on Computing"},{"key":"12_CR4","first-page":"436","volume-title":"Proc. of the IEEE Computational Systems Bioinformatics Conference","author":"J. Liu","year":"2004","unstructured":"Liu, J., Wang, W., Yang, J.: Gene ontology friendly biclustering of expression profiles. In: Proc. of the IEEE Computational Systems Bioinformatics Conference, pp. 436\u2013447. IEEE, Los Alamitos (2004)"},{"key":"12_CR5","volume-title":"Similarity and Analogical Reasoning","author":"R.S. Michalski","year":"1989","unstructured":"Michalski, R.S.: Two-tiered concept meaning, inferential matching and conceptual cohesiveness. In: Vosniadou, S., Ortony, A. (eds.) Similarity and Analogical Reasoning. Cambridge University Press, N.Y (1989)"},{"key":"12_CR6","unstructured":"Michalski, R.S.: Inferential learning theory: A conceptual framework for characterizing learning processes. Reports on the Machine Learning and Inference Laboratory, MLI 91\u20139. George Mason University (1991)"},{"key":"12_CR7","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/978-3-662-12405-5","volume-title":"Machine Learning: An Artificial Intelligence Approach","author":"R.S. Michalski","year":"1983","unstructured":"Michalski, R.S., Stepp, R.E.: Learning from observation: Conceptual clustering. In: Michalski, R.S., Carbonell, J.G., Mitchell, T.M. (eds.) Machine Learning: An Artificial Intelligence Approach, pp. 331\u2013363. Morgan Kauffmann, San Mateo (1983)"},{"issue":"1","key":"12_CR8","doi-asserted-by":"publisher","first-page":"54","DOI":"10.1145\/963770.963773","volume":"22","author":"S. Middleton","year":"2004","unstructured":"Middleton, S., Shadbolt, N., Roure, D.: Ontological user representing in recommender systems. ACM Trans. on Inform. Systems\u00a022(1), 54\u201388 (2004)","journal-title":"ACM Trans. on Inform. Systems"},{"key":"12_CR9","doi-asserted-by":"crossref","unstructured":"Miralaei, S., Ghorbani, A.: Category-based similarity algorithm for semantic similarity in multi-agent information sharing systems. In: IEEE\/WIC\/ACM Int. Conf. on Intelligent Agent Technology, pp. 242\u2013245 (2005), doi:10.1109\/IAT.2005.50","DOI":"10.1109\/IAT.2005.50"},{"issue":"1","key":"12_CR10","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1007\/BF01890073","volume":"4","author":"B. Mirkin","year":"1987","unstructured":"Mirkin, B.: Additive clustering and qualitative factor analysis methods for similarity matrices. Journal of Classification\u00a04(1), 7\u201331 (1987)","journal-title":"Journal of Classification"},{"key":"12_CR11","doi-asserted-by":"crossref","first-page":"276","DOI":"10.1201\/9781420034912","volume-title":"Clustering for Data Mining: A Data Recovery Approach","author":"B. Mirkin","year":"2005","unstructured":"Mirkin, B.: Clustering for Data Mining: A Data Recovery Approach, 276 p. Chapman & Hall \/CRC Press, Boca Raton (2005)"},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Mirkin, B., Fenner, T., Galperin, M., Koonin, E.: Algorithms for computing parsimonious evolutionary scenarios for genome evolution, the last universal common ancestor and dominance of horizontal gene transfer in the evolution of prokaryotes. BMC Evolutionary Biology\u00a03(2) (2003), doi:10.1186\/1471-2148-3-2","DOI":"10.1186\/1471-2148-3-2"},{"issue":"2","key":"12_CR13","doi-asserted-by":"publisher","first-page":"173","DOI":"10.1109\/TFUZZ.2003.809889","volume":"11","author":"S. Nascimento","year":"2003","unstructured":"Nascimento, S., Mirkin, B., Moura-Pires, F.: Modeling proportional membership in fuzzy clustering. IEEE Transactions on Fuzzy Systems\u00a011(2), 173\u2013186 (2003)","journal-title":"IEEE Transactions on Fuzzy Systems"},{"key":"12_CR14","unstructured":"RAE2008: Research Assessment Exercise (2008), \n                    \n                      http:\/\/www.rae.ac.uk\/\n                    \n                    \n                   (Cited 9 September 2008)"},{"issue":"8","key":"12_CR15","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J. Shi","year":"2000","unstructured":"Shi, J., Malik, J.: Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a022(8), 888\u2013905 (2000)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"12_CR16","unstructured":"Spence, R.: Information Visualization, 206 p. Addison-Wesley, ACM Press (2000)"},{"issue":"1","key":"12_CR17","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1016\/0004-3702(86)90030-5","volume":"28","author":"R. Stepp","year":"1986","unstructured":"Stepp, R., Michalski, R.S.: Conceptual clustering of structured objects: A goal-oriented approach. Artificial Intelligence\u00a028(1), 43\u201369 (1986)","journal-title":"Artificial Intelligence"},{"key":"12_CR18","unstructured":"Thorne, C., Zhu, J., Uren, V.: Extracting domain ontologies with CORDER. Tech. Report kmi-05-14. Open University, pp. 1\u201315 (2005)"},{"key":"12_CR19","unstructured":"The United Nations Millennium Project Task Force, \n                    \n                      http:\/\/www.cid.harward.edu\/cidtech\n                    \n                    \n                   (Cited 1 September 2006)"},{"key":"12_CR20","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1007\/978-0-387-34555-0","volume-title":"Text Mining: Predictive Methods for Analyzing Unstructured Information","author":"S.M. Weiss","year":"2005","unstructured":"Weiss, S.M., Indurkhya, N., Zhang, T., Damerau, F.J.: Text Mining: Predictive Methods for Analyzing Unstructured Information, 237 p. Springer, Heidelberg (2005)"},{"issue":"1","key":"12_CR21","first-page":"42","volume":"1","author":"L. Yang","year":"2005","unstructured":"Yang, L., Ball, M., Bhavsar, V., Boley, H.: Weighted partonomy-taxonomy trees with local similarity measures for semantic buyer-seller match-making. Journal of Business and Technology\u00a01(1), 42\u201352 (2005)","journal-title":"Journal of Business and Technology"}],"container-title":["Studies in Computational Intelligence","Advances in Machine Learning II"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-05179-1_12.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T11:22:26Z","timestamp":1619781746000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-05179-1_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642051784","9783642051791"],"references-count":21,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-05179-1_12","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"type":"print","value":"1860-949X"},{"type":"electronic","value":"1860-9503"}],"subject":[],"published":{"date-parts":[[2010]]}}}