{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T13:51:28Z","timestamp":1772373088370,"version":"3.50.1"},"reference-count":51,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2011,5,10]],"date-time":"2011-05-10T00:00:00Z","timestamp":1304985600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Mach Learn"],"published-print":{"date-parts":[[2012,1]]},"DOI":"10.1007\/s10994-011-5247-6","type":"journal-article","created":{"date-parts":[[2011,5,9]],"date-time":"2011-05-09T19:25:42Z","timestamp":1304969142000},"page":"89-114","source":"Crossref","is-referenced-by-count":9,"title":["Applying the information bottleneck to statistical relational learning"],"prefix":"10.1007","volume":"86","author":[{"given":"Fabrizio","family":"Riguzzi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicola","family":"Di Mauro","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,5,10]]},"reference":[{"issue":"3\/4","key":"5247_CR1","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1007\/BF03037168","volume":"9","author":"K. R. Apt","year":"1991","unstructured":"Apt, K. R., & Bezem, M. (1991). Acyclic programs. New Generation Computing, 9(3\/4), 335\u2013364.","journal-title":"New Generation Computing"},{"key":"5247_CR2","doi-asserted-by":"crossref","first-page":"219","DOI":"10.1016\/B978-1-4832-1451-1.50031-7","volume-title":"Proceedings of the 9th annual conference on uncertainty in artificial intelligence","author":"F. Bacchus","year":"1993","unstructured":"Bacchus, F. (1993). Using first-order probability logic for the construction of Bayesian networks. In D. Heckerman & E. H. Mamdani (Eds.), Proceedings of the 9th annual conference on uncertainty in artificial intelligence (pp. 219\u2013226). San Mateo: Morgan Kaufmann."},{"key":"5247_CR3","series-title":"LNCS","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1007\/978-3-540-73847-3_16","volume-title":"Proceedings of the 17th international conference on inductive logic programming","author":"H. Blockeel","year":"2007","unstructured":"Blockeel, H., & Meert, W. (2007). Towards learning non-recursive LPADs by transforming them into Bayesian networks. In H. Blockeel, J. Ramon, J. W. Shavlik, & P. Tadepalli (Eds.), LNCS: Vol. 4894. Proceedings of the 17th international conference on inductive logic programming (pp. 94\u2013108). Berlin: Springer."},{"issue":"11","key":"5247_CR4","first-page":"1577","volume":"24","author":"J. S. Breese","year":"1994","unstructured":"Breese, J. S., Goldman, R. P., & Wellman, M. P. (1994). Introduction to the special section on knowledge-based construction of probabilistic and decision models. IEEE Transactions on Systems, Man and Cybernetics, 24(11), 1577\u20131579.","journal-title":"IEEE Transactions on Systems, Man and Cybernetics"},{"key":"5247_CR5","first-page":"517","volume-title":"Proceedings of the 19th conference in uncertainty in artificial intelligence","author":"V. S. Costa","year":"2003","unstructured":"Costa, V. S., Page, D., Qazi, M., & Cussens, J. (2003). CLP(BN): Constraint logic programming for probabilistic knowledge. In C. Meek & U. Kj\u00e6rulff (Eds.), Proceedings of the 19th conference in uncertainty in artificial intelligence (pp. 517\u2013524). San Mateo: Morgan Kaufmann."},{"key":"5247_CR6","series-title":"LNCS","first-page":"152","volume-title":"Proceedings of the Russian conference on logic programming","author":"E. Dantsin","year":"1991","unstructured":"Dantsin, E. (1991). Probabilistic logic programs and their semantics. In A. Voronkov (Ed.), LNCS: Vol. 592. Proceedings of the Russian conference on logic programming (pp. 152\u2013164). San Mateo: Springer."},{"key":"5247_CR7","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1145\/1143844.1143874","volume-title":"Proceedings of the 23rd international conference on machine learning","author":"J. Davis","year":"2006","unstructured":"Davis, J., & Goadrich, M. (2006). The relationship between Precision-Recall and ROC curves. In W. W. Cohen & A. Moore (Eds.), Proceedings of the 23rd international conference on machine learning (Vol.\u00a04702, pp. 233\u2013240). New York: ACM."},{"key":"5247_CR8","first-page":"2462","volume-title":"Proceedings of the 20th international joint conference on artificial intelligence","author":"L. Raedt De","year":"2007","unstructured":"De Raedt, L., Kimmig, A., & Toivonen, H. (2007). ProbLog: A probabilistic prolog and its application in link discovery. In M. M. Veloso (Ed.), Proceedings of the 20th international joint conference on artificial intelligence (pp. 2462\u20132467)."},{"key":"5247_CR9","unstructured":"De Raedt, L., Demoen, B., Fierens, D., Gutmann, B., Janssens, G., Kimmig, A., Landwehr, N., Mantadelis, T., Meert, W., Rocha, R., Costa, V., Santos, V., Thon, I., & Vennekens, J. (2008). Towards digesting the alphabet-soup of statistical relational learning. In Workshop on Probabilistic Programming (in NIPS)."},{"key":"5247_CR10","series-title":"LNCS","volume-title":"Probabilistic inductive logic programming - theory and applications","year":"2008","unstructured":"De Raedt, L., Frasconi, P., Kersting, K., & Muggleton, S. (Eds.) (2008). LNCS: Vol. 4911. Probabilistic inductive logic programming - theory and applications. Berlin: Springer."},{"issue":"1","key":"5247_CR11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1111\/j.2517-6161.1977.tb01600.x","volume":"39","author":"A. P. Dempster","year":"1977","unstructured":"Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977). Maximum likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society Series B (Methodological), 39(1), 1\u201338.","journal-title":"Journal of the Royal Statistical Society Series B (Methodological)"},{"key":"5247_CR12","first-page":"81","volume":"6","author":"G. Elidan","year":"2005","unstructured":"Elidan, G., & Friedman, N. (2005). Learning hidden variable networks: The information bottleneck approach. Journal of Machine Learning Research, 6, 81\u2013127.","journal-title":"Journal of Machine Learning Research"},{"key":"5247_CR13","first-page":"129","volume-title":"Proceedings of the 14th conference on uncertainty in artificial intelligence","author":"N. Friedman","year":"1998","unstructured":"Friedman, N. (1998). The Bayesian structural EM algorithm. In G. F. Cooper & S. Moral (Eds.), Proceedings of the 14th conference on uncertainty in artificial intelligence (pp. 129\u2013138). San Mateo: Morgan Kaufmann."},{"key":"5247_CR14","first-page":"152","volume-title":"Proceedings of the 17th conference in uncertainty in artificial intelligence","author":"N. Friedman","year":"2001","unstructured":"Friedman, N., Mosenzon, O., Slonim, N., & Tishby, N. (2001). Multivariate information bottleneck. In J. S. Breese & D. Koller (Eds.), Proceedings of the 17th conference in uncertainty in artificial intelligence (pp. 152\u2013161). San Mateo: Morgan Kaufmann."},{"key":"5247_CR15","volume-title":"Introduction to statistical relational learning","year":"2007","unstructured":"Getoor, L., & Taskar, B. (Eds.) (2007). Introduction to statistical relational learning. Cambridge: MIT Press."},{"key":"5247_CR16","series-title":"LNCS","doi-asserted-by":"crossref","first-page":"473","DOI":"10.1007\/978-3-540-87479-9_49","volume-title":"Proceedings of the European conference on machine learning and knowledge discovery in databases","author":"B. Gutmann","year":"2008","unstructured":"Gutmann, B., Kimmig, A., Kersting, K., & De Raedt, L. (2008). Parameter learning in probabilistic databases: A least squares approach. In W. Daelemans, B. Goethals, & K. Morik (Eds.), LNCS: Vol. 5211. Proceedings of the European conference on machine learning and knowledge discovery in databases (pp. 473\u2013488). Berlin: Springer."},{"key":"5247_CR17","unstructured":"Gutmann, B., Kimmig, A., Kersting, K., & De Raedt, L. (2010). Parameter estimation in ProbLog from annotated queries. Tech. Rep. CW 583, Department of Computer Science, Katholieke Universiteit Leuven, Belgium."},{"key":"5247_CR18","first-page":"266","volume-title":"Proceedings of the 13th conference on uncertainty in artificial intelligence","author":"M. Jaeger","year":"1997","unstructured":"Jaeger, M. (1997). Relational Bayesian networks. In D. Geiger & P. P. Shenoy (Eds.), Proceedings of the 13th conference on uncertainty in artificial intelligence (pp. 266\u2013273). San Mateo: Morgan Kaufmann."},{"key":"5247_CR19","series-title":"ACM International conference proceeding series","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1145\/1273496.1273543","volume-title":"Proceedings of the 24th international conference on machine learning","author":"M. Jaeger","year":"2007","unstructured":"Jaeger, M. (2007). Parameter learning for relational Bayesian networks. In Z. Ghahramani (Ed.), ACM International conference proceeding series: Vol. 227. Proceedings of the 24th international conference on machine learning (pp. 369\u2013376). New York: ACM."},{"key":"5247_CR20","series-title":"LNCS","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1007\/3-540-44797-0_10","volume-title":"Proceedings of the 11th international conference on inductive logic programming","author":"K. Kersting","year":"2001","unstructured":"Kersting, K., & De Raedt, L. (2001). Towards combining inductive logic programming with Bayesian networks. In C. Rouveirol & M. Sebag (Eds.), LNCS: Vol. 2157. Proceedings of the 11th international conference on inductive logic programming (pp. 118\u2013131). Berlin: Springer."},{"key":"5247_CR21","first-page":"1316","volume-title":"Proceedings of the 15th international joint conference on artifical intelligence","author":"D. Koller","year":"1997","unstructured":"Koller, D., & Pfeffer, A. (1997). Learning probabilities for noisy first-order rules. In Proceedings of the 15th international joint conference on artifical intelligence (pp. 1316\u20131321). San Mateo: Morgan Kaufmann."},{"issue":"2","key":"5247_CR22","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/0167-9473(93)E0056-A","volume":"19","author":"S. L. Lauritzen","year":"1995","unstructured":"Lauritzen, S. L. (1995). The EM algorithm for graphical association models with missing data. Computational Statistics & Data Analysis, 19(2), 191\u2013201.","journal-title":"Computational Statistics & Data Analysis"},{"key":"5247_CR23","series-title":"LNCS","first-page":"200","volume-title":"Proceedings of the 18th European conference on machine learning","author":"D. Lowd","year":"2007","unstructured":"Lowd, D., & Domingos, P. (2007). Efficient weight learning for Markov logic networks. In J. N. Kok, J. Koronacki, R. L. de M\u00e1ntaras, S. Matwin, D. Mladenic, & A. Skowron (Eds.), LNCS: Vol. 4702. Proceedings of the 18th European conference on machine learning (pp. 200\u2013211). Berlin: Springer."},{"key":"5247_CR24","volume-title":"Proceedings of the 6th international workshop on multi-relational data mining","author":"W. Meert","year":"2007","unstructured":"Meert, W., Struyf, J., & Blockeel, H. (2007). Learning ground CP-logic theories by means of Bayesian network techniques. In Proceedings of the 6th international workshop on multi-relational data mining."},{"issue":"1","key":"5247_CR25","first-page":"131","volume":"89","author":"W. Meert","year":"2008","unstructured":"Meert, W., Struyf, J., & Blockeel, H. (2008). Learning ground CP-Logic theories by leveraging Bayesian network learning techniques. Fundamenta Informaticae, 89(1), 131\u2013160.","journal-title":"Fundamenta Informaticae"},{"key":"5247_CR26","series-title":"LNCS","first-page":"96","volume-title":"Proceedings of the 19th international conference on inductive logic programming (revised papers)","author":"W. Meert","year":"2010","unstructured":"Meert, W., Struyf, J., & Blockeel, H. (2010). CP-Logic theory inference with contextual variable elimination and comparison to bdd based inference methods. In L. De Raedt (Ed.), LNCS: Vol. 5989. Proceedings of the 19th international conference on inductive logic programming (revised papers) (pp. 96\u2013109). Berlin: Springer."},{"key":"5247_CR27","series-title":"ACM International Conference Proceeding Series","doi-asserted-by":"crossref","first-page":"625","DOI":"10.1145\/1273496.1273575","volume-title":"Proceedings of the 24th international conference on machine learning","author":"L. Mihalkova","year":"2007","unstructured":"Mihalkova, L., & Mooney, R. J. (2007). Bottom-up learning of Markov logic network structure. In Z. Ghahramani (Ed.), ACM International Conference Proceeding Series: Vol. 227. Proceedings of the 24th international conference on machine learning (pp. 625\u2013632). New York: ACM."},{"key":"5247_CR28","series-title":"LNCS","first-page":"198","volume-title":"Proceedings of the 12th international conference on inductive logic programming (revised papers)","author":"S. Muggleton","year":"2002","unstructured":"Muggleton, S. (2002). Learning structure and parameters of stochastic logic programs. In S. Matwin & C. Sammut (Eds.), LNCS: Vol. 2583. Proceedings of the 12th international conference on inductive logic programming (revised papers) (pp. 198\u2013206). Berlin: Springer."},{"key":"5247_CR29","doi-asserted-by":"crossref","first-page":"629","DOI":"10.1016\/0743-1066(94)90035-3","volume":"19\/20","author":"S. Muggleton","year":"1994","unstructured":"Muggleton, S., & De Raedt, L. (1994). Inductive logic programming: Theory and methods. Journal of Logic Programming, 19\/20, 629\u2013679.","journal-title":"Journal of Logic Programming"},{"key":"5247_CR30","series-title":"ACM International Conference Proceeding Series","doi-asserted-by":"crossref","first-page":"609","DOI":"10.1145\/1102351.1102428","volume-title":"Proceedings of the 22nd international conference on machine learning","author":"S. Natarajan","year":"2005","unstructured":"Natarajan, S., Tadepalli, P., Altendorf, E., Dietterich, T. G., Fern, A., & Restificar, A. (2005). Learning first-order probabilistic models with combining rules. In L. D. Raedt & S. Wrobel (Eds.), ACM International Conference Proceeding Series: Vol.119. Proceedings of the 22nd international conference on machine learning (pp. 609\u2013616). New York: ACM."},{"key":"5247_CR31","volume-title":"Probabilistic reasoning in intelligent systems: networks of plausible inference","author":"J. Pearl","year":"1988","unstructured":"Pearl, J. (1988). Probabilistic reasoning in intelligent systems: networks of plausible inference. San Mateo: Morgan Kaufman."},{"issue":"1\u20132","key":"5247_CR32","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1016\/S0004-3702(97)00027-1","volume":"94","author":"D. Poole","year":"1997","unstructured":"Poole, D. (1997). The Independent Choice Logic for modelling multiple agents under uncertainty. Artifcial Intelligence, 94(1\u20132), 7\u201356.","journal-title":"Artifcial Intelligence"},{"issue":"1\u20132","key":"5247_CR33","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s10994-006-5833-1","volume":"62","author":"M. Richardson","year":"2006","unstructured":"Richardson, M., & Domingos, P. (2006). Markov logic networks. Machine Learning, 62(1\u20132), 107\u2013136.","journal-title":"Machine Learning"},{"key":"5247_CR34","series-title":"LNCS","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1007\/978-3-540-30109-7_21","volume-title":"Proceedings of the 14th international conference on inductive logic programming","author":"F. Riguzzi","year":"2004","unstructured":"Riguzzi, F. (2004). Learning logic programs with annotated disjunctions. In R. Camacho, R. D. King, & A. Srinivasan (Eds.), LNCS: Vol. 4455. Proceedings of the 14th international conference on inductive logic programming (pp. 270\u2013287). Berlin: Springer."},{"key":"5247_CR35","series-title":"LNCS","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1007\/978-3-540-73847-3_11","volume-title":"Proceedings of the 16th international conference on inductive logic programming","author":"F. Riguzzi","year":"2007","unstructured":"Riguzzi, F. (2007a). ALLPAD: Approximate learning of logic programs with annotated disjunctions. In S. Muggleton, R. P. Otero, & A. Tamaddoni-Nezhad (Eds.), LNCS: Vol. 4455. Proceedings of the 16th international conference on inductive logic programming (pp. 43\u201345). Berlin: Springer."},{"key":"5247_CR36","series-title":"LNCS","first-page":"109","volume-title":"Proceedings of the 10th congress of the Italian association for artificial intelligence","author":"F. Riguzzi","year":"2007","unstructured":"Riguzzi, F. (2007b). A top-down interpreter for LPAD and CP-Logic. In R. Basili & M. T. Pazienza (Eds.), LNCS: Vol. 4733. Proceedings of the 10th congress of the Italian association for artificial intelligence (pp. 109\u2013120). Berlin: Springer."},{"issue":"2\u20133","key":"5247_CR37","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1007\/s10994-007-5032-8","volume":"70","author":"F. Riguzzi","year":"2008","unstructured":"Riguzzi, F. (2008a). ALLPAD: approximate learning of logic programs with annotated disjunctions. Machine Learning, 70(2\u20133), 207\u2013223.","journal-title":"Machine Learning"},{"key":"5247_CR38","series-title":"LNCS","first-page":"667","volume-title":"Proceedings of the 24th international conference on logic programming","author":"F. Riguzzi","year":"2008","unstructured":"Riguzzi, F. (2008b). Inference with logic programs with annotated disjunctions under the well-founded semantics. In M. Garcia\u00a0de\u00a0la\u00a0Banda & E. Pontelli (Eds.), LNCS: Vol. 5366. Proceedings of the 24th international conference on logic programming (pp. 667\u2013771). Berlin: Springer."},{"issue":"3\u20134","key":"5247_CR39","doi-asserted-by":"crossref","first-page":"429","DOI":"10.3233\/FI-2010-313","volume":"102","author":"F. Riguzzi","year":"2010","unstructured":"Riguzzi, F. (2010). SLGAD resolution for inference on Logic Programs with Annotated Disjunctions. Fundamenta Informaticae, 102(3\u20134), 429\u2013466.","journal-title":"Fundamenta Informaticae"},{"key":"5247_CR40","unstructured":"Riguzzi, F., & Di Mauro, N. (2010) Application of the information bottleneck to LPAD learning. Tech. Rep. CS-2010-01, Dipartimento di Ingegneria, Universit\u00e0 di Ferrara, Italy. http:\/\/www.ing.unife.it\/docenti\/FabrizioRiguzzi\/Papers\/RigdiM10-TR-CS-2010-01.pdf ."},{"key":"5247_CR41","series-title":"LIPIcs","first-page":"162","volume-title":"Technical communications of the 26th international conference on logic programming","author":"F. Riguzzi","year":"2010","unstructured":"Riguzzi, F., & Swift, T. (2010). Tabling and Answer subsumption for reasoning on logic programs with annotated disjunctions. In M. V. Hermenegildo & T. Schaub (Eds.), LIPIcs: Vol. 7. Technical communications of the 26th international conference on logic programming (pp. 162\u2013171). Dagstuhl: Schloss Dagstuhl-Leibniz-Zentrum fuer Informatik."},{"issue":"11","key":"5247_CR42","doi-asserted-by":"crossref","first-page":"2210","DOI":"10.1109\/5.726788","volume":"86","author":"K. Rose","year":"2002","unstructured":"Rose, K. (2002). Deterministic annealing for clustering, compression, classification, regression, and related optimization problems. Proceedings of the IEEE, 86(11), 2210\u20132239.","journal-title":"Proceedings of the IEEE"},{"key":"5247_CR43","first-page":"715","volume-title":"Proceedings of the 12th international conference on logic programming","author":"T. Sato","year":"1995","unstructured":"Sato, T. (1995). A statistical learning method for logic programs with distribution semantics. In L. Sterling (Ed.), Proceedings of the 12th international conference on logic programming (pp. 715\u2013729). Cambridge: MIT Press."},{"key":"5247_CR44","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1613\/jair.912","volume":"15","author":"T. Sato","year":"2001","unstructured":"Sato, T., & Kameya, Y. (2001). Parameter learning of logic programs for symbolic-statistical modeling. Journal of Artificial Intelligence Research, 15, 391\u2013454.","journal-title":"Journal of Artificial Intelligence Research"},{"key":"5247_CR45","unstructured":"Sato, T., Kameya, Y., & Zhou, N. F. (2005). Generative modeling with failure in prism. In: L.P. Kaelbling, A. Saffiotti (Eds.), Proceedings of the 19th international joint conference on artificial intelligence (pp.\u00a0847\u2013852), Professional Book Center."},{"key":"5247_CR46","first-page":"868","volume-title":"Proceedings of the 20th national conference on artificial intelligence and the seventeenth innovative applications of artificial intelligence conference","author":"P. Singla","year":"2005","unstructured":"Singla, P., & Domingos, P. (2005). Discriminative training of Markov logic networks. In M. M. Veloso & S. Kambhampati (Eds.), Proceedings of the 20th national conference on artificial intelligence and the seventeenth innovative applications of artificial intelligence conference (pp. 868\u2013873). Menlo Park: AAAI Press\/MIT Press."},{"key":"5247_CR47","first-page":"572","volume-title":"Proceedings of the 6th IEEE international conference on data mining","author":"P. Singla","year":"2006","unstructured":"Singla, P., & Domingos, P. (2006). Entity resolution with Markov logic. In Proceedings of the 6th IEEE international conference on data mining (pp. 572\u2013582). Los Alamitos: IEEE Computer Society."},{"key":"5247_CR48","first-page":"368","volume-title":"37th annual Allerton conference on communication, control and computing","author":"N. Tishby","year":"1999","unstructured":"Tishby, N., Pereira, F., & Bialek, W. (1999). The information bottleneck method. In 37th annual Allerton conference on communication, control and computing (pp. 368\u2013377)."},{"issue":"3","key":"5247_CR49","doi-asserted-by":"crossref","first-page":"620","DOI":"10.1145\/116825.116838","volume":"38","author":"A. Gelder Van","year":"1991","unstructured":"Van Gelder, A., Ross, K. A., & Schlipf, J. S. (1991). The well-founded semantics for general logic programs. Journal of the ACM, 38(3), 620\u2013650.","journal-title":"Journal of the ACM"},{"key":"5247_CR50","unstructured":"Vennekens, J., & Verbaeten, S. (2003). Logic programs with annotated disjunctions. Tech. Rep. CW386, Department of Computer Science, Katholieke Universiteit Leuven, Belgium."},{"key":"5247_CR51","series-title":"LNCS","first-page":"195","volume-title":"Proceedings of the 20th international conference on logic programming","author":"J. Vennekens","year":"2004","unstructured":"Vennekens, J., Verbaeten, S., & Bruynooghe, M. (2004). Logic programs with annotated disjunctions. In B. Demoen & V. Lifschitz (Eds.), LNCS: Vol. 3131. Proceedings of the 20th international conference on logic programming (pp. 195\u2013209). Berlin: Springer."}],"container-title":["Machine Learning"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-011-5247-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10994-011-5247-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10994-011-5247-6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,11,22]],"date-time":"2021-11-22T23:53:56Z","timestamp":1637625236000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10994-011-5247-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011,5,10]]},"references-count":51,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2012,1]]}},"alternative-id":["5247"],"URL":"https:\/\/doi.org\/10.1007\/s10994-011-5247-6","relation":{},"ISSN":["0885-6125","1573-0565"],"issn-type":[{"value":"0885-6125","type":"print"},{"value":"1573-0565","type":"electronic"}],"subject":[],"published":{"date-parts":[[2011,5,10]]}}}