{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T20:45:45Z","timestamp":1760820345641,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":25,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642244766"},{"type":"electronic","value":"9783642244773"}],"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\/978-3-642-24477-3_25","type":"book-chapter","created":{"date-parts":[[2011,9,29]],"date-time":"2011-09-29T01:18:51Z","timestamp":1317259131000},"page":"307-322","source":"Crossref","is-referenced-by-count":17,"title":["Global and Local Spatial Autocorrelation in Predictive Clustering Trees"],"prefix":"10.1007","author":[{"given":"Daniela","family":"Stojanova","sequence":"first","affiliation":[]},{"given":"Michelangelo","family":"Ceci","sequence":"additional","affiliation":[]},{"given":"Annalisa","family":"Appice","sequence":"additional","affiliation":[]},{"given":"Donato","family":"Malerba","sequence":"additional","affiliation":[]},{"given":"Sa\u0161o","family":"D\u017eeroski","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"25_CR1","doi-asserted-by":"publisher","first-page":"3082","DOI":"10.1016\/j.csda.2008.09.012","volume":"53","author":"D. Bel","year":"2009","unstructured":"Bel, D., Allard, L., Laurent, J., Cheddadi, R., Bar-Hen, A.: Cart algorithm for spatial data: application to environmental and ecological data. Computational Statistics and Data Analysis\u00a053, 3082\u20133093 (2009)","journal-title":"Computational Statistics and Data Analysis"},{"key":"25_CR2","unstructured":"Blockeel, H., De Raedt, L., Ramon, J.: Top-down induction of clustering trees. In: Proc. 15th Intl. Conf. on Machine Learning, pp. 55\u201363 (1998)"},{"key":"25_CR3","volume-title":"Classification and Regression trees","author":"L. Breiman","year":"1984","unstructured":"Breiman, L., Friedman, J., Olshen, R., Stone, J.: Classification and Regression trees. Wadsworth & Brooks, Belmont (1984)"},{"key":"25_CR4","volume-title":"Algorithms for Minimization without Derivatives","author":"R. Brent","year":"1973","unstructured":"Brent, R.: Algorithms for Minimization without Derivatives. Prentice-Hall, Englewood Cliffs (1973)"},{"issue":"3","key":"25_CR5","doi-asserted-by":"publisher","first-page":"191","DOI":"10.1007\/s10844-006-9950-x","volume":"27","author":"M. Ceci","year":"2006","unstructured":"Ceci, M., Appice, A.: Spatial associative classification: propositional vs structural approach. Journal of Intelligent Information Systems\u00a027(3), 191\u2013213 (2006)","journal-title":"Journal of Intelligent Information Systems"},{"key":"25_CR6","unstructured":"Dem\u0161ar, D., Debeljak, M., Lavigne, C., D\u017eeroski, S.: Modelling pollen dispersal of genetically modified oilseed rape within the field. In: Abstracts of the 90th ESA Annual Meeting, p. 152. The Ecological Society of America (2005)"},{"key":"25_CR7","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1007\/978-3-540-75549-4_5","volume-title":"Knowledge Discovery in Inductive Databases","author":"S. D\u017eeroski","year":"2007","unstructured":"D\u017eeroski, S., Gjorgjioski, V., Slavkov, I., Struyf, J.: Analysis of time series data with predictive clustering trees. In: D\u017eeroski, S., Struyf, J. (eds.) KDID 2006. LNCS, vol.\u00a04747, pp. 63\u201380. Springer, Heidelberg (2007)"},{"key":"25_CR8","doi-asserted-by":"crossref","unstructured":"Ester, M., Kriegel, H., Sander, J.: Spatial data mining: A database approach. In: Proc. 5th Intl. Symp. on Spatial Databases, pp. 47\u201366 (1997)","DOI":"10.1007\/3-540-63238-7_24"},{"key":"25_CR9","volume-title":"Geographically Weighted Regression: The Analysis of Spatially Varying Relationships","author":"A.S. Fotheringham","year":"2002","unstructured":"Fotheringham, A.S., Brunsdon, C., Charlton, M.: Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley, Chichester (2002)"},{"key":"25_CR10","doi-asserted-by":"crossref","unstructured":"Gora, G., Wojna, A.: RIONA: A classifier combining rule induction and k-NN method with automated selection of optimal neighbourhood. In: Proc. 13th European Conf. on Machine Learning, pp. 111\u2013123 (2002)","DOI":"10.1007\/3-540-36755-1_10"},{"issue":"12","key":"25_CR11","doi-asserted-by":"publisher","first-page":"1472","DOI":"10.1109\/TKDE.2004.90","volume":"16","author":"Y. Huang","year":"2004","unstructured":"Huang, Y., Shekhar, S., Xiong, H.: Discovering colocation patterns from spatial data sets: A general approach. IEEE Trans. Knowl. Data Eng.\u00a016(12), 1472\u20131485 (2004)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"25_CR12","unstructured":"Jensen, D., Neville, J.: Linkage and autocorrelation cause feature selection bias in relational learning. In: Proc. 9th Intl. Conf. on Machine Learning, pp. 259\u2013266 (2002)"},{"issue":"1","key":"25_CR13","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1111\/j.1472-4642.2006.00293.x","volume":"13","author":"I. K\u00fchn","year":"2007","unstructured":"K\u00fchn, I.: Incorporating spatial autocorrelation invert observed patterns. Diversity and Distributions\u00a013(1), 66\u201369 (2007)","journal-title":"Diversity and Distributions"},{"issue":"6","key":"25_CR14","doi-asserted-by":"publisher","first-page":"1659","DOI":"10.2307\/1939924","volume":"74","author":"P. Legendre","year":"1993","unstructured":"Legendre, P.: Spatial autocorrelation: Trouble or new paradigm? Ecology\u00a074(6), 1659\u20131673 (1993)","journal-title":"Ecology"},{"key":"25_CR15","doi-asserted-by":"publisher","first-page":"439","DOI":"10.1007\/978-1-4615-1733-7_24","volume-title":"Data Mining for Scientific and Engineering Applications","author":"J.H. LeSage","year":"2001","unstructured":"LeSage, J.H., Pace, K.: Spatial dependence in data mining. In: Data Mining for Scientific and Engineering Applications, pp. 439\u2013460. Kluwer Academic, Dordrecht (2001)"},{"key":"25_CR16","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1111\/j.1467-9671.2006.01006.x","volume":"10","author":"X. Li","year":"2006","unstructured":"Li, X., Claramunt, C.: A spatial entropy-based decision tree for classification of geographical information. Transactions in GIS\u00a010, 451\u2013467 (2006)","journal-title":"Transactions in GIS"},{"key":"25_CR17","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1007\/11536314_14","volume-title":"Inductive Logic Programming","author":"D. Malerba","year":"2005","unstructured":"Malerba, D., Appice, A., Varlaro, A., Lanza, A.: Spatial clustering of structured objects. In: Kramer, S., Pfahringer, B. (eds.) ILP 2005. LNCS (LNAI), vol.\u00a03625, pp. 227\u2013245. Springer, Heidelberg (2005)"},{"key":"25_CR18","doi-asserted-by":"crossref","unstructured":"Malerba, D., Ceci, M., Appice, A.: Mining model trees from spatial data. In: Proc. 9th European Conf. on Principles of Knowledge Discovery and Databases, pp. 169\u2013180 (2005)","DOI":"10.1007\/11564126_20"},{"key":"25_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1007\/BFb0014141","volume-title":"Advances in Database Technology EDBT \u201996","author":"M. Mehta","year":"1996","unstructured":"Mehta, M., Agrawal, R., Rissanen, J.: Sliq: A fast scalable classifier for data mining. In: Apers, P.M.G., Bouzeghoub, M., Gardarin, G. (eds.) EDBT 1996. LNCS, vol.\u00a01057, pp. 18\u201332. Springer, Heidelberg (1996)"},{"key":"25_CR20","doi-asserted-by":"crossref","unstructured":"Michalski, R.S., Stepp, R.E.: Machine Learning: An Artificial Intelligence Approach. In: Learning From Observation: Conceptual Clustering, pp. 331\u2013363 (2003)","DOI":"10.1007\/978-3-662-12405-5_11"},{"issue":"3","key":"25_CR21","doi-asserted-by":"publisher","first-page":"232","DOI":"10.1111\/j.1538-4632.1997.tb00959.x","volume":"29","author":"P. Pace","year":"1997","unstructured":"Pace, P., Barry, R.: Quick computation of regression with a spatially autoregressive dependent variable. Geographical Analysis\u00a029(3), 232\u2013247 (1997)","journal-title":"Geographical Analysis"},{"key":"25_CR22","doi-asserted-by":"publisher","first-page":"351","DOI":"10.2307\/2087176","volume":"15","author":"W.S. Robinson","year":"1950","unstructured":"Robinson, W.S.: Ecological correlations and the behavior of individuals. American Sociological Review\u00a015, 351\u2013357 (1950)","journal-title":"American Sociological Review"},{"key":"25_CR23","unstructured":"Scrucca, L.: Clustering multivariate spatial data based on local measures of spatial autocorrelation. Universit\u00e0 di Puglia 20\/2005 (2005)"},{"issue":"2","key":"25_CR24","doi-asserted-by":"publisher","first-page":"234","DOI":"10.2307\/143141","volume":"46","author":"W. Tobler","year":"1970","unstructured":"Tobler, W.: A computer movie simulating urban growth in the Detroit region. Economic Geography\u00a046(2), 234\u2013240 (1970)","journal-title":"Economic Geography"},{"key":"25_CR25","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1007\/978-3-540-45072-6_26","volume-title":"Advances in Spatial and Temporal Databases","author":"P. Zhang","year":"2003","unstructured":"Zhang, P., Huang, Y., Shekhar, S., Kumar, V.: Exploiting spatial autocorrelation to efficiently process correlation-based similarity queries. In: Hadzilacos, T., Manolopoulos, Y., Roddick, J., Theodoridis, Y. (eds.) SSTD 2003. LNCS, vol.\u00a02750, pp. 449\u2013468. Springer, Heidelberg (2003)"}],"container-title":["Lecture Notes in Computer Science","Discovery Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-24477-3_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,13]],"date-time":"2024-04-13T00:57:58Z","timestamp":1712969878000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-24477-3_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642244766","9783642244773"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-24477-3_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}