{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T09:41:17Z","timestamp":1725702077250},"publisher-location":"Berlin, Heidelberg","reference-count":31,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642336836"},{"type":"electronic","value":"9783642336843"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-33684-3_6","type":"book-chapter","created":{"date-parts":[[2012,9,10]],"date-time":"2012-09-10T04:02:55Z","timestamp":1347249775000},"page":"97-117","source":"Crossref","is-referenced-by-count":3,"title":["Learning and Transferring Geographically Weighted Regression Trees across Time"],"prefix":"10.1007","author":[{"given":"Annalisa","family":"Appice","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Michelangelo","family":"Ceci","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Donato","family":"Malerba","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonietta","family":"Lanza","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"6_CR1","first-page":"1","volume":"7","author":"C.S.A. Petrucci","year":"2003","unstructured":"Petrucci, C.S.A., Salvati, N.: The application of a spatial regression model to the analysis and mapping of poverty. Environmental and Natural Resources Series\u00a07, 1\u201354 (2003)","journal-title":"Environmental and Natural Resources Series"},{"key":"6_CR2","unstructured":"Fotheringham, M.C.A.S., Brunsdon, C.: Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. Wiley (2002)"},{"issue":"6","key":"6_CR3","doi-asserted-by":"publisher","first-page":"716","DOI":"10.1109\/TAC.1974.1100705","volume":"19","author":"H. Akaike","year":"1974","unstructured":"Akaike, H.: A new look at the statistical model identification. IEEE Transactions on Automatic Control\u00a019(6), 716\u2013723 (1974)","journal-title":"IEEE Transactions on Automatic Control"},{"key":"6_CR4","doi-asserted-by":"crossref","unstructured":"Appice, A., Ceci, M., Malerba, D.: Transductive learning for spatial regression with co-training. In: Shin, S.Y., Ossowski, S., Schumacher, M., Palakal, M.J., Hung, C.-C. (eds.) Proceedings of the 2010 ACM Symposium on Applied Computing (SAC 2010), pp. 1065\u20131070. ACM (2010)","DOI":"10.1145\/1774088.1774310"},{"key":"6_CR5","doi-asserted-by":"crossref","unstructured":"Bogorny, V., Valiati, J.F., da Silva Camargo, S., Engel, P.M., Kuijpers, B., Alvares, L.O.: Mining maximal generalized frequent geographic patterns with knowledge constraints. In: ICDM 2006, pp. 813\u2013817. IEEE Computer Society (2006)","DOI":"10.1109\/ICDM.2006.110"},{"key":"6_CR6","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1002\/joc.614","volume":"21","author":"C. Brunsdon","year":"2001","unstructured":"Brunsdon, C., McClatchey, J., Unwin, D.: Spatial variations in the average rainfall-altitude relationships in great britain: an approach using geographically weighted regression. International Journal of Climatology\u00a021, 455\u2013466 (2001)","journal-title":"International Journal of Climatology"},{"key":"6_CR7","unstructured":"Burnham, K., Anderson, D.: Model selection and multimodel inference: a practical information-theoretic approach. Springer (2002)"},{"key":"6_CR8","unstructured":"Cortez, P., Morais, A.: A data mining approach to predict forest fires using meteorological data. In: EPIA 2007, pp. 512\u2013523. APPIA (2007)"},{"key":"6_CR9","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1613\/jair.1872","volume":"26","author":"H. Daum\u00e9 III","year":"2006","unstructured":"Daum\u00e9 III, H., Marcu, D.: Domain adaptation for statistical classifiers. Journal of Artificial Intelligence Research\u00a026, 101\u2013126 (2006)","journal-title":"Journal of Artificial Intelligence Research"},{"key":"6_CR10","unstructured":"Dem\u0161ar, D., Debeljak, M., Lavigne, C., D\u017eeroski, S.: Modelling pollen dispersal of genetically modified oilseed rape within the field. In: Annual Meeting of the Ecological Society of America, p. 152 (2005)"},{"key":"6_CR11","unstructured":"Draper, N.R., Smith, H.: Applied regression analysis. Wiley (1982)"},{"issue":"5-6","key":"6_CR12","doi-asserted-by":"publisher","first-page":"311","DOI":"10.1002\/sam.10054","volume":"2","author":"A. Dries","year":"2009","unstructured":"Dries, A., R\u00fcckert, U.: Adaptive concept drift detection. Statistical Analysis and Data Mining\u00a02(5-6), 311\u2013327 (2009)","journal-title":"Statistical Analysis and Data Mining"},{"key":"6_CR13","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/3-540-36755-1_10","volume-title":"Machine Learning: ECML 2002","author":"G. G\u00f3ra","year":"2002","unstructured":"G\u00f3ra, G., Wojna, A.: RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood. In: Elomaa, T., Mannila, H., Toivonen, H. (eds.) ECML 2002. LNCS (LNAI), vol.\u00a02430, pp. 111\u2013123. Springer, Heidelberg (2002)"},{"key":"6_CR14","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/0034-3331(74)90025-6","volume":"4","author":"L. Hordijk","year":"1974","unstructured":"Hordijk, L.: Spatial correlation in the disturbances of a linear interregional model. Regional and Urban Economics\u00a04, 117\u2013140 (1974)","journal-title":"Regional and Urban Economics"},{"key":"6_CR15","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1007\/s101090200081","volume":"4","author":"Y. Huang","year":"2002","unstructured":"Huang, Y., Leung, Y.: Analysing regional industrialisation in jiangsu province using geographically weighted regression. Journal of Geographical Systems\u00a04, 233\u2013249 (2002)","journal-title":"Journal of Geographical Systems"},{"issue":"2","key":"6_CR16","doi-asserted-by":"publisher","first-page":"297","DOI":"10.1093\/biomet\/76.2.297","volume":"76","author":"C.M. Hurvich","year":"1989","unstructured":"Hurvich, C.M., Tsai, C.-L.: Regression and time series model selection in small samples. Biometrika\u00a076(2), 297\u2013307 (1989)","journal-title":"Biometrika"},{"key":"6_CR17","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1016\/S0167-7152(96)00140-X","volume":"33","author":"P. Kelley","year":"1997","unstructured":"Kelley, P., Barry, R.: Sparse spatial autoregressions. Statistics and Probability Letters\u00a033, 291\u2013297 (1997)","journal-title":"Statistics and Probability Letters"},{"key":"6_CR18","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, 1659\u20131673 (1993)","journal-title":"Ecology"},{"key":"6_CR19","doi-asserted-by":"crossref","unstructured":"LeSage, J., Pace, K.: Spatial dependence in data mining. In: Data Mining for Scientific and Engineering Applications, pp. 439\u2013460. Kluwer Academic (2001)","DOI":"10.1007\/978-1-4615-1733-7_24"},{"key":"6_CR20","unstructured":"Levers, C., Br\u00fcckner, M., Lakes, T.: Social segregation in urban areas: an exploratory data analysis using geographically weighted regression analysis. In: 13th AGILE International Conference on Geographic Information Science 2010 (2010)"},{"key":"6_CR21","doi-asserted-by":"publisher","first-page":"503","DOI":"10.1111\/j.1467-8306.2004.00411.x","volume":"94","author":"P. Longley","year":"2004","unstructured":"Longley, P., Tobon, A.: Spatial dependence and heterogeneity in patterns of hardship: an intra-urban analysis. Annals of the Association of American Geographers\u00a094, 503\u2013519 (2004)","journal-title":"Annals of the Association of American Geographers"},{"key":"6_CR22","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"169","DOI":"10.1007\/11564126_20","volume-title":"Knowledge Discovery in Databases: PKDD 2005","author":"D. Malerba","year":"2005","unstructured":"Malerba, D., Ceci, M., Appice, A.: Mining Model Trees from Spatial Data. In: Jorge, A.M., Torgo, L., Brazdil, P.B., Camacho, R., Gama, J. (eds.) PKDD 2005. LNCS (LNAI), vol.\u00a03721, pp. 169\u2013180. Springer, Heidelberg (2005)"},{"key":"6_CR23","unstructured":"Mitchell, T.: Machine Learning. McGraw Hill (1997)"},{"issue":"3","key":"6_CR24","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":"6_CR25","unstructured":"Pan, S.J., Shen, D., Yang, Q., Kwok, J.T.: Transferring localization models across space. In: AAAI, pp. 1383\u20131388. AAAI Press (2008)"},{"issue":"10","key":"6_CR26","doi-asserted-by":"publisher","first-page":"1345","DOI":"10.1109\/TKDE.2009.191","volume":"22","author":"S.J. Pan","year":"2010","unstructured":"Pan, S.J., Yang, Q.: A survey on transfer learning. IEEE Transactions on Knowledge and Data Engineering\u00a022(10), 1345\u20131359 (2010)","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"key":"6_CR27","doi-asserted-by":"crossref","unstructured":"Rinzivillo, S., Turini, F., Bogorny, V., K\u00f6rner, C., Kuijpers, B., May, M.: Knowledge discovery from geographical data. In: Mobility, Data Mining and Privacy, pp. 243\u2013265. Springer (2008)","DOI":"10.1007\/978-3-540-75177-9_10"},{"key":"6_CR28","unstructured":"Shariff, N., Gairola, S., Talib, A.: Modelling urban land use change using geographically weighted regression and the implications for sustainable environmental planning. In: Proceeding of the 5th International Congress on Environmental Modelling and Software Modelling for Environment\u2019s Sake, iEMSs (2010)"},{"key":"6_CR29","unstructured":"Shekhar, S., Chawla, S.: Spatial databases: A tour. Prentice Hall (2003)"},{"key":"6_CR30","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1007\/BFb0022715","volume-title":"Machine Learning: ECML\u201997","author":"Y. Wang","year":"1997","unstructured":"Wang, Y., Witten, I.: Inducing Model Trees for Continuous Classes. In: van Someren, M., Widmer, G. (eds.) ECML 1997. LNCS, vol.\u00a01224, pp. 128\u2013137. Springer, Heidelberg (1997)"},{"key":"6_CR31","unstructured":"Zheng, V.W., Xiang, E.W., Yang, Q., Shen, D.: Transferring localization models over time. In: AAAI, pp. 1421\u20131426. AAAI Press (2008)"}],"container-title":["Lecture Notes in Computer Science","Modeling and Mining Ubiquitous Social Media"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-33684-3_6.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,5,4]],"date-time":"2021-05-04T08:18:57Z","timestamp":1620116337000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-33684-3_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642336836","9783642336843"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-33684-3_6","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2012]]}}}