{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T23:14:18Z","timestamp":1725491658596},"publisher-location":"Berlin, Heidelberg","reference-count":70,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540755487"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-3-540-75549-4_16","type":"book-chapter","created":{"date-parts":[[2007,9,28]],"date-time":"2007-09-28T13:13:22Z","timestamp":1190985202000},"page":"259-300","source":"Crossref","is-referenced-by-count":28,"title":["Towards a General Framework for Data Mining"],"prefix":"10.1007","author":[{"given":"Sa\u0161o","family":"D\u017eeroski","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"16_CR1","first-page":"207","volume-title":"Proc. of the ACM SIGMOD Conf. on Management of Data","author":"R. Agrawal","year":"1993","unstructured":"Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proc. of the ACM SIGMOD Conf. on Management of Data, pp. 207\u2013216. ACM Press, New York (1993)"},{"key":"16_CR2","volume-title":"Data Structures and Algorithms","author":"A.V. Aho","year":"1983","unstructured":"Aho, A.V., Ullman, J.D., Hopcroft, J.E.: Data Structures and Algorithms. Addison-Wesley, Reading, MA (1983)"},{"issue":"1","key":"16_CR3","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1017\/S0956796804005301","volume":"15","author":"L. Allison","year":"2004","unstructured":"Allison, L.: Models for machine learning and data mining in functional programming. Journal of Functional Programming\u00a015(1), 15\u201332 (2004)","journal-title":"Journal of Functional Programming"},{"key":"16_CR4","doi-asserted-by":"crossref","unstructured":"R. Bayardo (ed.) Constraints in data mining. Special issue of SIGKDD Explorations, 4(1) (2002)","DOI":"10.1145\/772862.772863"},{"key":"16_CR5","volume-title":"Pattern Recognition and Machine Learning","author":"C.M. Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, Berlin (2006)"},{"key":"16_CR6","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","DOI":"10.1007\/11564126_8","volume-title":"Knowledge Discovery in Databases: PKDD 2005","author":"S. Bistarelli","year":"2005","unstructured":"Bistarelli, S., Bonch, F.: Interestingness is not a Dichotomy: Introducing Softness in Constrained Pattern Mining. In: Jorge, A.M., Torgo, L., Brazdil, P.B., Camacho, R., Gama, J. (eds.) PKDD 2005. LNCS (LNAI), vol.\u00a03721, Springer, Heidelberg (2005)"},{"key":"16_CR7","first-page":"55","volume-title":"Proc. of the 15th Intl. Conf. on Machine Learning","author":"H. Blockeel","year":"1998","unstructured":"Blockeel, H., De Raedt, L., Ramon, J.: Top-down induction of clustering trees. In: Proc. of the 15th Intl. Conf. on Machine Learning, pp. 55\u201363. Morgan Kaufmann, San Mateo, CA (1998)"},{"key":"16_CR8","doi-asserted-by":"publisher","first-page":"399","DOI":"10.1007\/0-387-25465-X_18","volume-title":"The Data Mining and Knowledge Discovery Handbook","author":"J.-F. Boulicaut","year":"2005","unstructured":"Boulicaut, J.-F., Jeudy, B.: Constraint-based data mining. In: Maimon, O., Rokach, L. (eds.) The Data Mining and Knowledge Discovery Handbook, pp. 399\u2013416. Springer, Berlin (2005)"},{"key":"16_CR9","volume-title":"The Data Mining and Knowledge Discovery Handbook","author":"J.-F. Boulicaut","year":"2005","unstructured":"Boulicaut, J.-F., Masson, C.: Data mining query languages. In: Maimon, O., Rokach, L. (eds.) The Data Mining and Knowledge Discovery Handbook, Springer, Berlin (2005)"},{"key":"16_CR10","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1007\/3-540-48298-9_31","volume-title":"Data Warehousing and Knowledge Discovery","author":"J.-F. Boulicaut","year":"1999","unstructured":"Boulicaut, J.-F., Klemettinen, M., Mannila, H.: Modeling KDD processes within the inductive database framework. In: Mohania, M.K., Tjoa, A.M. (eds.) DaWaK 1999. LNCS, vol.\u00a01676, pp. 293\u2013302. Springer, Heidelberg (1999)"},{"key":"16_CR11","series-title":"Lecture Notes in Artificial Intelligence","volume-title":"Constraint-Based Mining and Inductive Databases","year":"2006","unstructured":"Boulicaut, J.-F., De Raedt, L., Mannila, H. (eds.): Constraint-Based Mining and Inductive Databases. LNCS (LNAI), vol.\u00a03848. Springer, Heidelberg (2006)"},{"key":"16_CR12","volume-title":"The Fourier Transform and Its Applications","author":"R.N. Bracewell","year":"1965","unstructured":"Bracewell, R.N.: The Fourier Transform and Its Applications. McGraw-Hill, New York (1965)"},{"key":"16_CR13","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1007\/11615576_4","volume-title":"Constraint-Based Mining and Inductive Databases","author":"T. Calders","year":"2006","unstructured":"Calders, T., Rigotti, C., Boulicaut, J.-F.: A survey on condensed representations for frequent sets. In: Boulicaut, J-F., De Raedt, L., Mannila, H. (eds.) Constraint-Based Mining and Inductive Databases. LNCS (LNAI), vol.\u00a03848, pp. 64\u201380. Springer, Heidelberg (2006)"},{"key":"16_CR14","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1007\/11871637_43","volume-title":"PKDD 2006","author":"T. Calders","year":"2006","unstructured":"Calders, T., Goethals, B., Prado, A.B.: Integrating pattern mining in relational databases. In: F\u00fcrnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol.\u00a04213, pp. 454\u2013461. Springer, Heidelberg (2006a)"},{"issue":"4","key":"16_CR15","doi-asserted-by":"publisher","first-page":"1169","DOI":"10.1145\/1189769.1189770","volume":"31","author":"T. Calders","year":"2006","unstructured":"Calders, T., Lakshmanan, L.V.S., Ng, R.T., Paredaens, J.: Expressive power of an algebra for data mining. ACM Transactions on Database Systems\u00a031(4), 1169\u20131214 (2006b)","journal-title":"ACM Transactions on Database Systems"},{"key":"16_CR16","first-page":"716","volume-title":"Proc. 23nd Intl. Conf. on Data Engineering","author":"H. Cheng","year":"2007","unstructured":"Cheng, H., Yan, X., Han, J., Hsu, C.-W.: Discriminative frequent pattern analysis for effective classification. In: Proc. 23nd Intl. Conf. on Data Engineering, pp. 716\u2013725. IEEE Computer Society Press, Los Alamitos (2007)"},{"key":"16_CR17","volume-title":"Multi-Objective Optimization Using Evolutionary Algorithms","author":"K. Deb","year":"2001","unstructured":"Deb, K.: Multi-Objective Optimization Using Evolutionary Algorithms. Wiley & Sons, New York (2001)"},{"key":"16_CR18","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1023\/A:1007361123060","volume":"26","author":"L. Raedt De","year":"1997","unstructured":"De Raedt, L., Dehaspe, L.: Clausal discovery. Machine Learning\u00a026, 99\u2013146 (1997)","journal-title":"Machine Learning"},{"issue":"1","key":"16_CR19","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1023\/A:1009863704807","volume":"3","author":"L. Dehaspe","year":"1999","unstructured":"Dehaspe, L., Toivonen, H.: Discovery of frequent Datalog patterns. Data Mining and Knowledge Discovery\u00a03(1), 7\u201336 (1999)","journal-title":"Data Mining and Knowledge Discovery"},{"issue":"2","key":"16_CR20","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1145\/772862.772871","volume":"4","author":"L. Raedt De","year":"2002","unstructured":"De Raedt, L.: A perspective on inductive databases. SIGKDD Explorations\u00a04(2), 69\u201377 (2002a)","journal-title":"SIGKDD Explorations"},{"key":"16_CR21","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1007\/3-540-45632-5_20","volume-title":"Computational Logic: Logic Programming and Beyond","author":"L. Raedt De","year":"2002","unstructured":"De Raedt, L.: Data mining as constraint logic programming. In: Kakas, A.C., Sadri, F. (eds.) Computational Logic: Logic Programming and Beyond. LNCS (LNAI), vol.\u00a02408, pp. 113\u2013125. Springer, Heidelberg (2002b)"},{"key":"16_CR22","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511790492","volume-title":"Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids","author":"R. Durbin","year":"1998","unstructured":"Durbin, R., Eddy, S.R., Krogh, A., Mitchison, G.J.: Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, Cambridge (1998)"},{"key":"16_CR23","volume-title":"Statistical Relational Learning","author":"S. D\u017eeroski","year":"2007","unstructured":"D\u017eeroski, S.: Inductive logic programming in a nutshell. In: Getoor, L., Taskar, B. (eds.) Statistical Relational Learning, MIT Press, Cambridge, MA (2007)"},{"volume-title":"Relational Data Mining","year":"2001","key":"16_CR24","unstructured":"D\u017eeroski, S., Lavra\u010d, N. (eds.): Relational Data Mining. Springer, Berlin (2001)"},{"key":"16_CR25","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/11615576_7","volume-title":"Constraint-Based Mining and Inductive Databases","author":"S. D\u017eeroski","year":"2006","unstructured":"D\u017eeroski, S., Todorovski, L., Ljubi\u010d, P.: Inductive queries on polynomial equations. In: Boulicaut, J-F., De Raedt, L., Mannila, H. (eds.) Constraint-Based Mining and Inductive Databases. LNCS (LNAI), vol.\u00a03848, pp. 127\u2013154. Springer, Heidelberg (2006)"},{"issue":"2","key":"16_CR26","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1145\/980972.981004","volume":"5","author":"U. Fayyad","year":"2003","unstructured":"Fayyad, U., Piatetsky-Shapiro, G., Uthurusamy, R.: Summary from the KDD-2003 panel \u2013 \u201cData Mining: The Next 10 Years\u201d. SIGKDD Explorations\u00a05(2), 191\u2013196 (2003)","journal-title":"SIGKDD Explorations"},{"issue":"2","key":"16_CR27","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1023\/A:1008894516817","volume":"9","author":"J.H. Friedman","year":"1999","unstructured":"Friedman, J.H., Fisher, N.I.: Bump hunting in high-dimensional data. Statistics and Computing\u00a09(2), 123\u2013143 (1999)","journal-title":"Statistics and Computing"},{"key":"16_CR28","first-page":"495","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"U. Fayyad","year":"1996","unstructured":"Fayyad, U., Piatetsky-Shapiro, G., Smyth, P.: From data mining to knowledge discovery: An overview. In: Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., Uthurusamy, R. (eds.) Advances in Knowledge Discovery and Data Mining, pp. 495\u2013515. MIT Press, Cambridge, MA (1996)"},{"key":"16_CR29","unstructured":"Frawley, W.J., Piatetsky-Shapiro, G., Matheus, C.J.: Knowledge discovery in databases: An overview. In: Knowledge Discovery in Databases, pp. 1\u201330. AAAI\/MIT Press, Cambridge"},{"issue":"1","key":"16_CR30","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1145\/959242.959248","volume":"5","author":"T. Gaertner","year":"2003","unstructured":"Gaertner, T.: A survey of kernels for structured data. SIGKDD Explorations\u00a05(1), 49\u201358 (2003)","journal-title":"SIGKDD Explorations"},{"issue":"2","key":"16_CR31","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1023\/A:1022445500761","volume":"7","author":"M. Garofalakis","year":"2003","unstructured":"Garofalakis, M., Hyun, D., Rastogi, R., Shim, K.: Building decision trees with constraints. Data Mining and Knowledge Discovery\u00a07(2), 187\u2013214 (2003)","journal-title":"Data Mining and Knowledge Discovery"},{"volume-title":"Statistical Relational Learning","year":"2007","key":"16_CR32","unstructured":"Getoor, L., Taskar, B. (eds.): Statistical Relational Learning. MIT Press, Cambridge, MA (2007)"},{"key":"16_CR33","first-page":"341","volume-title":"Proc. of the 21st Intl. Conf. on Data Engineering","author":"A. Gionis","year":"2005","unstructured":"Gionis, A., Mannila, H., Tsaparas, P.: Clustering aggregation. In: Proc. of the 21st Intl. Conf. on Data Engineering, pp. 341\u2013352. IEEE Computer Society Press, Los Alamitos (2005)"},{"key":"16_CR34","volume-title":"Data Mining: Concepts and Techniques","author":"J. Han","year":"2001","unstructured":"Han, J., Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufmann, San Francisco, CA (2001)"},{"key":"16_CR35","volume-title":"Principles of Data Mining","author":"D.J. Hand","year":"2001","unstructured":"Hand, D.J., Mannila, H., Smyth, P.: Principles of Data Mining. MIT Press, Cambridge, MA (2001)"},{"key":"16_CR36","unstructured":"Haussler, D.: Convolution kernels on discrete structures. UC Santa Cruz, Technical Report UCS-CRL-99-10 (1999)"},{"issue":"11","key":"16_CR37","doi-asserted-by":"publisher","first-page":"58","DOI":"10.1145\/240455.240472","volume":"39","author":"T. Imielinski","year":"1996","unstructured":"Imielinski, T., Mannila, H.: A database perspective on knowledge discovery. Communications of the ACM\u00a039(11), 58\u201364 (1996)","journal-title":"Communications of the ACM"},{"key":"16_CR38","first-page":"21","volume-title":"Proc. of the Intl. Conf. on Very Large Data Bases","author":"T. Johnson","year":"2000","unstructured":"Johnson, T., Lakshmanan, L.V., Ng, R.: The 3W model and algebra for unified data mining. In: Proc. of the Intl. Conf. on Very Large Data Bases, pp. 21\u201332. Morgan Kaufmann, San Francisco, CA (2000)"},{"key":"16_CR39","unstructured":"Kalousis, A., Woznica, A., Hilario, M.: A unifying framework for relational distance-based learning founded on relational algebra. Technical Report, Computer Science Department, University of Geneva (2006)"},{"key":"16_CR40","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316801","volume-title":"Finding Groups in Data: An Introduction to Cluster Analysis","author":"L. Kaufman","year":"1990","unstructured":"Kaufman, L., Rousseeuw, P.J.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley & Sons, New York (1990)"},{"issue":"5","key":"16_CR41","doi-asserted-by":"publisher","first-page":"445","DOI":"10.1093\/bioinformatics\/17.5.445","volume":"17","author":"R.D. King","year":"2001","unstructured":"King, R.D., Karwath, A., Clare, A., Dehaspe, L.: The utility of different representations of protein sequence for predicting functional class. Bioinformatics\u00a017(5), 445\u2013454 (2001)","journal-title":"Bioinformatics"},{"key":"16_CR42","first-page":"354","volume-title":"Handbook of Data Mining and Knowledge Discovery","author":"W. Kloesgen","year":"2002","unstructured":"Kloesgen, W.: Data mining tasks and methods: Subgroup discovery: deviation analysis. In: Kloesgen, W., Zytkow, J.M. (eds.) Handbook of Data Mining and Knowledge Discovery, pp. 354\u2013361. Oxford University Press, Oxford (2002)"},{"key":"16_CR43","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"124","DOI":"10.1007\/11733492_8","volume-title":"KDID 2005","author":"S. Kramer","year":"2006","unstructured":"Kramer, S., Aufschild, V., Hapfelmeier, A., Jarasch, A., Kessler, K., Reckow, S., Wicker, J., Richter, L.: Inductive Databases in the Relational Model: The Data as the Bridge. In: Bonchi, F., Boulicaut, J.-F. (eds.) KDID 2005. LNCS, vol.\u00a03933, pp. 124\u2013138. Springer, Heidelberg (2006)"},{"key":"16_CR44","first-page":"153","volume":"5","author":"N. Lavra\u010d","year":"2004","unstructured":"Lavra\u010d, N., Kav\u0161ek, B., Flach, P.A., Todorovski, L.: Subgroup Discovery with CN2-SD. Journal of Machine Learning Research\u00a05, 153\u2013188 (2004)","journal-title":"Journal of Machine Learning Research"},{"key":"16_CR45","volume-title":"Inductive Logic Programming: Techniques and Applications","author":"N. Lavra\u010d","year":"1994","unstructured":"Lavra\u010d, N., D\u017eeroski, S.: Inductive Logic Programming: Techniques and Applications. Ellis Horwood, Chichester (1994)"},{"key":"16_CR46","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4615-5725-8","volume-title":"Feature Extraction, Construction and Selection: A Data Mining Perspective","author":"H. Liu","year":"1998","unstructured":"Liu, H., Motoda, H.: Feature Extraction, Construction and Selection: A Data Mining Perspective. Kluwer, Dorderecht (1998)"},{"key":"16_CR47","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-83189-8","volume-title":"Foundations of Logic Programming","author":"J.W. Lloyd","year":"1987","unstructured":"Lloyd, J.W.: Foundations of Logic Programming. Springer, Berlin (1987)"},{"issue":"2","key":"16_CR48","first-page":"52","volume":"15","author":"J.W. Lloyd","year":"1983","unstructured":"Lloyd, J.W.: An introduction to deductive database systems. Australian Computer Journal\u00a015(2), 52\u201357 (1983)","journal-title":"Australian Computer Journal"},{"key":"16_CR49","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-662-08406-9","volume-title":"Logic for Learning","author":"J.W. Lloyd","year":"2003","unstructured":"Lloyd, J.W.: Logic for Learning. Springer, Berlin (2003)"},{"key":"16_CR50","volume-title":"A Wavelet Tour of Signal Processing","author":"S. Mallat","year":"1999","unstructured":"Mallat, S.: A Wavelet Tour of Signal Processing. Academic Press, London (1999)"},{"key":"16_CR51","unstructured":"Inductive databases vision: Relational operations on models. Unpublished slides. In: Presented at the meeting of the cInQ project (December 2001)"},{"issue":"3","key":"16_CR52","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1023\/A:1009796218281","volume":"1","author":"H. Mannila","year":"1997","unstructured":"Mannila, H., Toivonen, H.: Levelwise search and borders of theories in knowledge discovery. Data Mining and Knowledge Discovery\u00a01(3), 241\u2013258 (1997)","journal-title":"Data Mining and Knowledge Discovery"},{"key":"16_CR53","first-page":"219","volume":"4","author":"R.S. Michalski","year":"1980","unstructured":"Michalski, R.S.: Knowledge acquisition through conceptual clustering: A theoretical framework and an algorithm for partitioning data into conjunctive concepts. Intl. Jrnl. of Policy Analysis and Information Systems\u00a04, 219\u2013244 (1980)","journal-title":"Intl. Jrnl. of Policy Analysis and Information Systems"},{"issue":"2","key":"16_CR54","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1016\/0004-3702(82)90040-6","volume":"18","author":"T.M. Mitchell","year":"1982","unstructured":"Mitchell, T.M.: Generalization as search. Artif. Intell.\u00a018(2), 203\u2013226 (1982)","journal-title":"Artif. Intell."},{"key":"16_CR55","doi-asserted-by":"crossref","unstructured":"Nijssen, S., Fromont, E.: Mining optimal decision trees from itemset lattices. In: Proc. of The 13th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, ACM Press, New York (to appear, 2007)","DOI":"10.1145\/1281192.1281250"},{"issue":"2","key":"16_CR56","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1145\/1233321.1233330","volume":"8","author":"G. Piatetsky-Shapiro","year":"2006","unstructured":"Piatetsky-Shapiro, G., Djeraba, C., Getoor, L., Grossman, R., Feldman, R., Zaki, M.: What are the grand challenges for data mining? KDD-2006 Panel report. SIGKDD Explorations\u00a08(2), 70\u201377 (2006)","journal-title":"SIGKDD Explorations"},{"key":"16_CR57","unstructured":"Ramakrishnan, R., et al.: Data Mining: The Next Generation. In: Ramakrishnan, R., Agrawal, R., Freytag, J.-C. (eds.) Perspectives Wshp. \u2013 Data Mining: The Next Generation. Intl. Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany (2005)"},{"issue":"10","key":"16_CR58","doi-asserted-by":"publisher","first-page":"765","DOI":"10.1007\/PL00013304","volume":"37","author":"J. Ramon","year":"2001","unstructured":"Ramon, J., Bruynooghe, M.: A polynomial time computable metric between point sets. Acta Informatica\u00a037(10), 765\u2013780 (2001)","journal-title":"Acta Informatica"},{"key":"16_CR59","doi-asserted-by":"crossref","DOI":"10.1017\/CBO9780511809682","volume-title":"Kernel Methods for Pattern Analysis","author":"J. Shawe-Taylor","year":"2004","unstructured":"Shawe-Taylor, J., Cristianini, N.: Kernel Methods for Pattern Analysis. Cambridge University Press, Cambridge (2004)"},{"key":"16_CR60","series-title":"Lecture Notes in Computer Science","first-page":"1","volume-title":"KDID 2005","author":"A. Siebes","year":"2006","unstructured":"Siebes, A.: Data mining in inductive databases. In: Bonchi, F., Boulicaut, J-F. (eds.) KDID 2005. LNCS, vol.\u00a03933, pp. 1\u201323. Springer, Heidelberg (2006)"},{"issue":"1","key":"16_CR61","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1023\/A:1009815821645","volume":"3","author":"A. Srinivasan","year":"1999","unstructured":"Srinivasan, A., King, R.D.: Feature construction with inductive logic programming: A study of quantitative predictions of biological activity aided by structural attributes. Knowledge Discovery and Data Mining\u00a03(1), 37\u201357 (1999)","journal-title":"Knowledge Discovery and Data Mining"},{"key":"16_CR62","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"222","DOI":"10.1007\/11733492_13","volume-title":"KDID 2005","author":"J. Struyf","year":"2006","unstructured":"Struyf, J., D\u017eeroski, S.: Constraint based induction of multi-objective regression trees. In: Bonchi, F., Boulicaut, J-F. (eds.) KDID 2005. LNCS, vol.\u00a03933, pp. 222\u2013233. Springer, Heidelberg (2006)"},{"key":"16_CR63","unstructured":"Termier, A., Tamada, Y., Imoto, S., Washio, T., Higuchi, T.: From closed tree mining towards closed DAG mining. In: Proc. of the Intl. Wshp. on Data Mining and Statistical Science, pp. 1\u20137 (2006)"},{"key":"16_CR64","volume-title":"Haskell: The Craft of Functional Programming","author":"S. Thompson","year":"1999","unstructured":"Thompson, S.: Haskell: The Craft of Functional Programming. Add. Wesley, Reading (1999)"},{"key":"16_CR65","unstructured":"Tu\u0161ar, T.: Design of an Algorithm for Multiobjective Optimization with Differential Evolution. M.Sc. Thesis. Faculty of Computer and Information Science, University of Ljubljana, Slovenia (2007)"},{"issue":"2","key":"16_CR66","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1023\/A:1019956318069","volume":"18","author":"R. Vilalta","year":"2002","unstructured":"Vilalta, R., Drissi, Y.: A perspective view and survey of meta-learning. Artificial Intelligence Review\u00a018(2), 77\u201395 (2002)","journal-title":"Artificial Intelligence Review"},{"key":"16_CR67","first-page":"1103","volume-title":"Proc. 17th Intl. Conf. on Machine Learning","author":"K. Wagstaff","year":"2000","unstructured":"Wagstaff, K., Cardie, C.: Clustering with instance-level constraints. In: Proc. 17th Intl. Conf. on Machine Learning, pp. 1103\u20131110. Morgan Kaufmann, San Francisco, CA (2000)"},{"key":"16_CR68","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"546","DOI":"10.1007\/11731139_64","volume-title":"Advances in Knowledge Discovery and Data Mining","author":"A. Woznica","year":"2006","unstructured":"Woznica, A., Kalousis, A., Hilario, M.: Kernels on lists and sets over relational algebra: an application to classification of protein fingerprints. In: Ng, W-K., Kitsuregawa, M., Li, J., Chang, K. (eds.) PAKDD 2006. LNCS (LNAI), vol.\u00a03918, pp. 546\u2013551. Springer, Heidelberg (2006)"},{"issue":"4","key":"16_CR69","doi-asserted-by":"publisher","first-page":"597","DOI":"10.1142\/S0219622006002258","volume":"5","author":"Q. Yang","year":"2006","unstructured":"Yang, Q., Wu, X.: 10 Challenging problems in data mining research. Intl. Jrnl. of Information Technology & Decision Making\u00a05(4), 597\u2013604 (2006)","journal-title":"Intl. Jrnl. of Information Technology & Decision Making"},{"key":"16_CR70","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1007\/11733492_14","volume-title":"KDID 2005","author":"B. \u017denko","year":"2006","unstructured":"\u017denko, B., D\u017eeroski, S., Struyf, J.: Learning predictive clustering rules. In: Bonchi, F., Boulicaut, J-F. (eds.) KDID 2005. LNCS, vol.\u00a03933, pp. 234\u2013250. Springer, Heidelberg (2006)"}],"container-title":["Lecture Notes in Computer Science","Knowledge Discovery in Inductive Databases"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-540-75549-4_16.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,27]],"date-time":"2021-04-27T10:23:56Z","timestamp":1619519036000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-540-75549-4_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9783540755487"],"references-count":70,"URL":"https:\/\/doi.org\/10.1007\/978-3-540-75549-4_16","relation":{},"subject":[]}}