{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T03:08:18Z","timestamp":1742958498305,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":50,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642205132"},{"type":"electronic","value":"9783642205149"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-20514-9_1","type":"book-chapter","created":{"date-parts":[[2011,4,27]],"date-time":"2011-04-27T05:28:16Z","timestamp":1303882096000},"page":"1-17","source":"Crossref","is-referenced-by-count":0,"title":["Inductive Databases and Constraint-Based Data Mining"],"prefix":"10.1007","author":[{"given":"Sa\u0161o","family":"D\u017eeroski","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"1_CR1","first-page":"207","volume-title":"Proc. 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. ACM SIGMOD Conf. on Management of Data, pp. 207\u2013216. ACM Press, New York (1993)"},{"key":"1_CR2","doi-asserted-by":"crossref","unstructured":"Bayardo, R. (guest ed.): Constraints in data mining. Special issue of SIGKDD Explorations\u00a04(1) (2002)","DOI":"10.1145\/772862.772863"},{"key":"1_CR3","doi-asserted-by":"crossref","unstructured":"Becquet, C., Blachon, S., Jeudy, B., Boulicaut, J.-F., Gandrillon, O.: Strong-association-rule mining for large-scale gene-expression data analysis: a case study on human SAGE data. Genome Biology\u00a03(12), research0067 (2002)","DOI":"10.1186\/gb-2002-3-12-research0067"},{"key":"1_CR4","doi-asserted-by":"crossref","unstructured":"Besson, J., Boulicaut, J.-F., Guns, T., Nijssen, S.: Generalizing Itemset Mining in a Constraint Programming Setting. In: [25], pp. 107\u2013126 (2010)","DOI":"10.1007\/978-1-4419-7738-0_5"},{"key":"1_CR5","doi-asserted-by":"crossref","unstructured":"Bingham, E.: Finding Segmentations of Sequences. In: [25], pp. 177\u2013197 (2010)","DOI":"10.1007\/978-1-4419-7738-0_8"},{"key":"1_CR6","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1007\/11564126_8","volume-title":"Knowledge Discovery in Databases: PKDD 2005","author":"S. Bistarelli","year":"2005","unstructured":"Bistarelli, S., Bonchi, 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, pp. 22\u201333. Springer, Heidelberg (2005)"},{"issue":"4-5","key":"1_CR7","doi-asserted-by":"crossref","first-page":"467","DOI":"10.3233\/ISI-2007-00321","volume":"7","author":"S. Blachon","year":"2007","unstructured":"Blachon, S., Pensa, R.G., Besson, J., Robardet, C., Boulicaut, J.-F., Gandrillon, O.: Clustering formal concepts to discover biologically relevant knowledge from gene expression data. In Silico Biology\u00a07(4-5), 467\u2013483 (2007)","journal-title":"In Silico Biology"},{"key":"1_CR8","doi-asserted-by":"crossref","unstructured":"Blockeel, H., Calders, T., Fromont, E., Goethals, B., Prado, A., Robardet, C.: Inductive Querying with Virtual Mining Views. In: [25], pp. 265\u2013287 (2010b)","DOI":"10.1007\/978-1-4419-7738-0_11"},{"issue":"1","key":"1_CR9","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1021571501451","volume":"7","author":"J.-F. Boulicaut","year":"2003","unstructured":"Boulicaut, J.-F., Bykowski, A., Rigotti, C.: Free-sets: a condensed representation of boolean data for the approximation of frequency queries. Data Mining and Knowledge Discovery\u00a07(1), 5\u201322 (2003)","journal-title":"Data Mining and Knowledge Discovery"},{"volume-title":"Constraint-Based Mining and Inductive Databases","year":"2005","key":"1_CR10","unstructured":"Boulicaut, J.-F., De Raedt, L., Mannila, H. (eds.): Constraint-Based Mining and Inductive Databases. Springer, Berlin (2005)"},{"key":"1_CR11","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":"1_CR12","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., Tjoa, A.M. (eds.) DaWaK 1999. LNCS, vol.\u00a01676, pp. 293\u2013302. Springer, Heidelberg (1999)"},{"key":"1_CR13","doi-asserted-by":"crossref","unstructured":"Bringmann, B., Nijssen, S., Zimmermann, A.: From Local Patterns to Classification Models. In: [25], pp. 127\u2013154 (2010)","DOI":"10.1007\/978-1-4419-7738-0_6"},{"key":"1_CR14","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"55","DOI":"10.1007\/11871637_10","volume-title":"Knowledge Discovery in Databases: PKDD 2006","author":"B. Bringmann","year":"2006","unstructured":"Bringmann, B., Zimmermann, A., De Raedt, L., Nijssen, S.: Don\u2019t be afraid of simpler patterns. In: F\u00fcrnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol.\u00a04213, pp. 55\u201366. Springer, Heidelberg (2006)"},{"key":"1_CR15","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1007\/11871637_43","volume-title":"Knowledge Discovery in Databases: 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":"1_CR16","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":"1_CR17","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":"1_CR18","first-page":"37","volume-title":"Proc. 8th SIAM Intl. Conf. on Data Mining","author":"L. Cerf","year":"2008","unstructured":"Cerf, L., Besson, J., Robardet, C., Boulicaut, J.-F.: Data-Peeler: Constraint-based closed pattern mining in n-ary relations. In: Proc. 8th SIAM Intl. Conf. on Data Mining, pp. 37\u201348. SIAM, Philadelphia (2008)"},{"key":"1_CR19","doi-asserted-by":"crossref","unstructured":"Cerf, L., Nhan Nguyen, B.T., Boulicaut, J.-F.: Mining Constrained Cross-Graph Cliques in Dynamic Networks. In: [25], pp. 199\u2013228 (2010)","DOI":"10.1007\/978-1-4419-7738-0_9"},{"issue":"2","key":"1_CR20","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1145\/772862.772871","volume":"4","author":"L. De Raedt","year":"2002","unstructured":"De Raedt, L.: A perspective on inductive databases. SIGKDD Explorations\u00a04(2), 69\u201377 (2002a)","journal-title":"SIGKDD Explorations"},{"key":"1_CR21","series-title":"Lecture Notes in Artificial Intelligence","first-page":"113","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":"1_CR22","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1145\/1401890.1401919","volume-title":"Proc. 14th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining","author":"L. Raedt De","year":"2008","unstructured":"De Raedt, L., Guns, T., Nijssen, S.: Constraint programming for itemset mining. In: Proc. 14th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, pp. 204\u2013212. ACM Press, New York (2008)"},{"key":"1_CR23","doi-asserted-by":"crossref","unstructured":"De Raedt, L., Kimmig, A., Gutmann, B., Kersting, K., Santos Costa, V., Toivonen, H.: Probabilistic Inductive Querying Using ProbLog. In: [25], pp. 229\u2013262 (2010)","DOI":"10.1007\/978-1-4419-7738-0_10"},{"key":"1_CR24","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"259","DOI":"10.1007\/978-3-540-75549-4_16","volume-title":"Knowledge Discovery in Inductive Databases","author":"S. D\u017eeroski","year":"2007","unstructured":"D\u017eeroski, S.: Towards a general framework for data mining. In: D\u017eeroski, S., Struyf, J. (eds.) KDID 2006. LNCS, vol.\u00a04747, pp. 259\u2013300. Springer, Heidelberg (2007)"},{"volume-title":"Inductive Databases and Constraint-Based Data Mining","year":"2010","key":"1_CR25","unstructured":"D\u017eeroski, S., Goethals, B., Panov, P. (eds.): Inductive Databases and Constraint-Based Data Mining. Springer, Berlin (2010)"},{"key":"1_CR26","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 (1996)"},{"issue":"2","key":"1_CR27","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"},{"key":"1_CR28","first-page":"804","volume-title":"Proc. 20th Intl. Joint Conf. on Artificial Intelligence","author":"G.C. Garriga","year":"2007","unstructured":"Garriga, G.C., Khardon, R., De Raedt, L.: On mining closed sets in multirelational data. In: Proc. 20th Intl. Joint Conf. on Artificial Intelligence, pp. 804\u2013809. AAAI Press, Menlo Park (2007)"},{"key":"1_CR29","doi-asserted-by":"publisher","first-page":"167","DOI":"10.1145\/1150402.1150424","volume-title":"Proc. 12th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining","author":"A. Gionis","year":"2006","unstructured":"Gionis, A., Mannila, H., Mielikainen, T., Tsaparas, P.: Assessing data mining results via swap randomization. In: Proc. 12th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, pp. 167\u2013176. ACM Press, New York (2006)"},{"issue":"1-2","key":"1_CR30","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.gene.2007.01.028","volume":"394","author":"N. Haiminen","year":"2007","unstructured":"Haiminen, N., Mannila, H.: Discovering isochores by least-squares optimal segmentation. Gene\u00a0394(1-2), 53\u201360 (2007)","journal-title":"Gene"},{"issue":"8","key":"1_CR31","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1109\/2.781634","volume":"32","author":"J. Han","year":"1999","unstructured":"Han, J., Lakshmanan, L.V.S., Ng, R.T.: Constraint-Based Multidimensional Data Mining. IEEE Computer\u00a032(8), 46\u201350 (1999)","journal-title":"IEEE Computer"},{"key":"1_CR32","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 (2001)"},{"issue":"11","key":"1_CR33","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":"1_CR34","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 (2000)"},{"key":"1_CR35","doi-asserted-by":"crossref","unstructured":"King, R.D., Schierz, A., Clare, A., Rowland, J., Sparkes, A., Nijssen, S., Ramon, J.: Inductive Queries for a Drug Designing Robot Scientist. In: [25], pp. 425\u2013453 (2010)","DOI":"10.1007\/978-1-4419-7738-0_18"},{"key":"1_CR36","first-page":"136","volume-title":"Proc. 7th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining","author":"S. Kramer","year":"2001","unstructured":"Kramer, S., De Raedt, L., Helma, C.: Molecular feature mining in HIV data. In: Proc. 7th ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining, pp. 136\u2013143. ACM Press, New York (2001)"},{"issue":"3","key":"1_CR37","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":"1_CR38","first-page":"437","volume-title":"Proc. 18th ACM Symposium on Applied Computing","author":"R. Meo","year":"2003","unstructured":"Meo, R.: Optimization of a language for data mining. In: Proc. 18th ACM Symposium on Applied Computing, pp. 437\u2013444. ACM Press, New York (2003)"},{"issue":"2","key":"1_CR39","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. Artificial Intelligence\u00a018(2), 203\u2013226 (1982)","journal-title":"Artificial Intelligence"},{"key":"1_CR40","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/978-3-540-75549-4_12","volume-title":"Knowledge Discovery in Inductive Databases","author":"S. Nijssen","year":"2007","unstructured":"Nijssen, S., De Raedt, L.: IQL: A proposal for an inductive query language. In: D\u017eeroski, S., Struyf, J. (eds.) KDID 2006. LNCS, vol.\u00a04747, pp. 189\u2013207. Springer, Heidelberg (2007)"},{"key":"1_CR41","doi-asserted-by":"crossref","unstructured":"Panov, P., Soldatova, L., D\u017eeroski, S.: Representing Entities in the OntoDM Data Mining Ontology. In: [25], pp. 29\u201358 (2010)","DOI":"10.1007\/978-1-4419-7738-0_2"},{"key":"1_CR42","unstructured":"Pe\u010dkov, A., D\u017eeroski, S., Todorovski, L.: Multi-target polynomial regression with constraints. In: Proc. Intl. Wshp. on Constrained-Based Mining and Learning, ECML\/PKDD, Warsaw, pp. 61\u201372 (2007)"},{"key":"1_CR43","first-page":"145","volume-title":"Constrained Clustering: Advances in Algorithms, Theory and Applications","author":"R.G. Pensa","year":"2008","unstructured":"Pensa, R.G., Robardet, C., Boulicaut, J.-F.: Constraint-driven co-clustering of 0\/1 data. In: Basu, S., Davidson, I., Wagstaff, K. (eds.) Constrained Clustering: Advances in Algorithms, Theory and Applications, pp. 145\u2013170. Chapman & Hall\/CRC Press, Boca Raton, FL (2008)"},{"key":"1_CR44","doi-asserted-by":"crossref","unstructured":"Rigotti, C., Mita\u0161i\u016bnait\u0117, I., Besson, J., Meyniel, L., Boulicaut, J.-F., Gandrillon, O.: Using a Solver Over the String Pattern Domain to Analyze Gene Promoter Sequences. In: [25], pp. 407\u2013423 (2010)","DOI":"10.1007\/978-1-4419-7738-0_17"},{"key":"1_CR45","doi-asserted-by":"crossref","unstructured":"Slavkov, I., D\u017eeroski, S.: Analyzing Gene Expression Data with Predictive Clustering Trees. In: [25], pp. 389\u2013406 (2010)","DOI":"10.1007\/978-1-4419-7738-0_16"},{"key":"1_CR46","doi-asserted-by":"crossref","unstructured":"Struyf, J., D\u017eeroski, S.: Constrained Predictive Clustering. In: [25], pp. 155\u2013175 (2010)","DOI":"10.1007\/978-1-4419-7738-0_7"},{"key":"1_CR47","doi-asserted-by":"crossref","unstructured":"Vanschoren, J., Blockeel, H.: Experiment Databases. In: [25], pp. 335\u2013361 (2010)","DOI":"10.1007\/978-1-4419-7738-0_14"},{"key":"1_CR48","doi-asserted-by":"crossref","unstructured":"Vens, C., Schietgat, L., Struyf, J., Blockeel, H., Kocev, D., D\u017eeroski, S.: Predicting Gene Function using Predictive Clustering Trees. In: [25], pp. 365\u2013387 (2010)","DOI":"10.1007\/978-1-4419-7738-0_15"},{"key":"1_CR49","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 (2000)"},{"issue":"4","key":"1_CR50","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. International Journal of Information Technology & Decision Making\u00a05(4), 597\u2013604 (2006)","journal-title":"International Journal of Information Technology & Decision Making"}],"container-title":["Lecture Notes in Computer Science","Formal Concept Analysis"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-20514-9_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,5]],"date-time":"2025-03-05T08:24:45Z","timestamp":1741163085000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-20514-9_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642205132","9783642205149"],"references-count":50,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-20514-9_1","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}