{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:32:31Z","timestamp":1750307551173,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2009,11,4]],"date-time":"2009-11-04T00:00:00Z","timestamp":1257292800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2009,11,4]]},"DOI":"10.1145\/1653771.1653816","type":"proceedings-article","created":{"date-parts":[[2009,11,17]],"date-time":"2009-11-17T13:30:15Z","timestamp":1258464615000},"page":"326-335","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["REG^2"],"prefix":"10.1145","author":[{"given":"Oner Ulvi","family":"Celepcikay","sequence":"first","affiliation":[{"name":"University of Houston, Houston, TX"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christoph F.","family":"Eick","sequence":"additional","affiliation":[{"name":"University of Houston, Houston, TX"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2009,11,4]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Second International Symposium on Information Theory. Budapest: Akademiai Kiado, 267--281","author":"Akaike H.","year":"1973","unstructured":"Akaike , H. Information theory and an extension of the maximum likelihood principle. In B. N. Petrov and F. Csake (eds.) , Second International Symposium on Information Theory. Budapest: Akademiai Kiado, 267--281 , 1973 Akaike, H. Information theory and an extension of the maximum likelihood principle. In B. N. Petrov and F. Csake (eds.), Second International Symposium on Information Theory. Budapest: Akademiai Kiado, 267--281, 1973"},{"key":"e_1_3_2_1_2_1","volume-title":"Wiley Series in Probability and Statistics","author":"Applied Regression Analysis","year":"1997","unstructured":"Applied Regression Analysis , Wiley Series in Probability and Statistics ; Fox , J. ( 1997 ). Applied Regression Analysis, Wiley Series in Probability and Statistics; Fox, J. (1997)."},{"key":"e_1_3_2_1_3_1","volume-title":"Classification and Related Methods of Data Analysis","author":"Bozdogan H.","year":"1988","unstructured":"Bozdogan , H. ICOMP: a new model-selection criterion . In Classification and Related Methods of Data Analysis , H. H. Bock (Ed.), Elsevier Science Publishers , Amsterdam; 599--608, 1988 . Bozdogan, H. ICOMP: a new model-selection criterion. In Classification and Related Methods of Data Analysis, H. H. Bock (Ed.), Elsevier Science Publishers, Amsterdam; 599--608, 1988."},{"key":"e_1_3_2_1_4_1","volume-title":"Wadsworth","author":"Breiman L.","year":"1984","unstructured":"Breiman , L. , Friedman , J. , Olshen , R. , Stone , C. : Classification and Regression Trees , Wadsworth , Belmont, CA , 1984 . Breiman, L., Friedman, J., Olshen, R., Stone, C.: Classification and Regression Trees, Wadsworth, Belmont, CA, 1984."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/joc.614"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1080\/00273170701836653"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1111\/1540-5907.00013"},{"key":"e_1_3_2_1_8_1","volume-title":"Eick","author":"Choo J.","year":"2007","unstructured":"Choo , J. , Jiamthapthaksin , R. , Sheng Chen , C. , Celepcikay , O. U. , Giusti , C. , Eick , C. F. : MOSAIC: A proximity graph approach for agglomerative clustering. The 9th Int'l Conference on Data Warehousing&Knowledge Discovery (DaWaK 2007 ), Germany , 2007 Choo, J., Jiamthapthaksin, R., Sheng Chen, C., Celepcikay, O. U., Giusti, C., Eick, C. F.: MOSAIC: A proximity graph approach for agglomerative clustering. The 9th Int'l Conference on Data Warehousing&Knowledge Discovery (DaWaK 2007), Germany, 2007"},{"key":"e_1_3_2_1_9_1","unstructured":"Cougar^2 Framework https:\/\/cougarsquared.dev.java.net\/ Cougar^2 Framework https:\/\/cougarsquared.dev.java.net\/"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","DOI":"10.1002\/9781119115151","volume-title":"Statistics for Spatial Data (Revised Edition)","author":"Cressie N.","year":"1993","unstructured":"Cressie , N. : Statistics for Spatial Data (Revised Edition) . New York : Wiley , 1993 . Cressie, N.: Statistics for Spatial Data (Revised Edition). New York: Wiley, 1993."},{"key":"e_1_3_2_1_11_1","unstructured":"Data Mining and Machine Learning Group University of Houston http:\/\/www.tlc2.uh.edu\/dmmlg Data Mining and Machine Learning Group University of Houston http:\/\/www.tlc2.uh.edu\/dmmlg"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.5555\/1786574.1786587"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1463434.1463472"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/3120676.3120694"},{"key":"e_1_3_2_1_15_1","volume-title":"Geographically Weighted Regression: The Analysis of Spatially Varying Relationships","author":"Fotheringham A. S.","year":"2002","unstructured":"Fotheringham , A. S. , Brunsdon , C. & Charlton , M. : Geographically Weighted Regression: The Analysis of Spatially Varying Relationships . John Wiley , 2002 Fotheringham, A. S., Brunsdon, C.&Charlton, M.: Geographically Weighted Regression: The Analysis of Spatially Varying Relationships. John Wiley, 2002"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2821-7_11"},{"key":"e_1_3_2_1_17_1","volume-title":": Applied Multivariate Analysis. Englewood Cliffs","author":"Johnson R. A.","year":"1992","unstructured":"Johnson , R. A. : Applied Multivariate Analysis. Englewood Cliffs , N.J. : Prentice Hall , c 1992 Johnson, R. A.: Applied Multivariate Analysis. Englewood Cliffs, N.J.: Prentice Hall, c1992"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8306.2004.00411.x"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"crossref","DOI":"10.1142\/3573","volume-title":"Regression and Time Series Model Selection","author":"McQuarrie A. D.","year":"1998","unstructured":"McQuarrie A. D. , and Tsai , C . ( 1998 ), \" Regression and Time Series Model Selection \", World Scientific Publishing Co. Pte. Ltd ., River Edge, NJ. McQuarrie A. D., and Tsai, C. (1998), \"Regression and Time Series Model Selection\", World Scientific Publishing Co. Pte. Ltd., River Edge, NJ."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-8306.2005.00459.x"},{"key":"e_1_3_2_1_21_1","volume-title":"A simulated annealing heuristic for a bicriterion partitioning problem in market segmentation. Journal of Marketing Research, 39:99--109","author":"Brusco J. D","year":"2002","unstructured":"M. J. Brusco , J. D Cradit , and S. Stahl . A simulated annealing heuristic for a bicriterion partitioning problem in market segmentation. Journal of Marketing Research, 39:99--109 , 2002 . M. J. Brusco, J. D Cradit, and S. Stahl. A simulated annealing heuristic for a bicriterion partitioning problem in market segmentation. Journal of Marketing Research, 39:99--109, 2002."},{"key":"e_1_3_2_1_22_1","volume-title":"GeoComputation'99: Proceedings Fourth International Conference on GeoComputation, Mary Washington College","author":"Openshaw S.","year":"1998","unstructured":"Openshaw , S. 1998 . \" Geographical data mining: key design issues \". GeoComputation'99: Proceedings Fourth International Conference on GeoComputation, Mary Washington College , Fredericksburg, Virginia, USA, 25- -28 July 1999. Openshaw, S. 1998. \"Geographical data mining: key design issues\". GeoComputation'99: Proceedings Fourth International Conference on GeoComputation, Mary Washington College, Fredericksburg, Virginia, USA, 25--28 July 1999."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1214\/aos\/1176344136"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"crossref","unstructured":"Spath H. \"Clusterwise linear regression \" Computing 22 (4) 367--373 1979. Spath H. \"Clusterwise linear regression \" Computing 22 (4) 367--373 1979.","DOI":"10.1007\/BF02265317"},{"key":"e_1_3_2_1_25_1","volume-title":"Clusterwise Linear Regression.\" Computing, 26, 275","author":"Spath H.","year":"1981","unstructured":"Spath , H. , \" Correction to Algorithm 39 : Clusterwise Linear Regression.\" Computing, 26, 275 , 1981 . Spath, H., \"Correction to Algorithm 39: Clusterwise Linear Regression.\" Computing, 26, 275, 1981."},{"key":"e_1_3_2_1_26_1","volume-title":"A Fast Algorithm for Clusterwise Linear Regression.\" Computing, 29, 175--181","author":"Spath H.","year":"1982","unstructured":"Spath , H. , \" Algorithm 48 : A Fast Algorithm for Clusterwise Linear Regression.\" Computing, 29, 175--181 , 1982 . Spath, H., \"Algorithm 48: A Fast Algorithm for Clusterwise Linear Regression.\" Computing, 29, 175--181, 1982."},{"key":"e_1_3_2_1_27_1","unstructured":"STATLIB Probability and Statistics Library http:\/\/lib.stat.cmu.edu\/ STATLIB Probability and Statistics Library http:\/\/lib.stat.cmu.edu\/"},{"key":"e_1_3_2_1_28_1","unstructured":"Texas Water Development Board http:\/\/www.twdb.state.tx.us\/home\/index.asp Texas Water Development Board http:\/\/www.twdb.state.tx.us\/home\/index.asp"},{"key":"e_1_3_2_1_29_1","first-page":"130","volume-title":"Econometric Analysis of Cross-Section and Panel Data","author":"Woolridge J.","year":"2002","unstructured":"Woolridge , J. : Econometric Analysis of Cross-Section and Panel Data . MIT Press , 2002 , pp. 130 , 279, 420--449. Woolridge, J.: Econometric Analysis of Cross-Section and Panel Data. MIT Press, 2002, pp. 130, 279, 420--449."}],"event":{"name":"GIS '09: 17th SIGSPATIAL International Conference on Advances in Geographic Information Systems","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information"],"location":"Seattle Washington","acronym":"GIS '09"},"container-title":["Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1653771.1653816","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1653771.1653816","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T12:23:37Z","timestamp":1750249417000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1653771.1653816"}},"subtitle":["a regional regression framework for geo-referenced datasets"],"short-title":[],"issued":{"date-parts":[[2009,11,4]]},"references-count":29,"alternative-id":["10.1145\/1653771.1653816","10.1145\/1653771"],"URL":"https:\/\/doi.org\/10.1145\/1653771.1653816","relation":{},"subject":[],"published":{"date-parts":[[2009,11,4]]},"assertion":[{"value":"2009-11-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}