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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures
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40%; open Cuttone, A (2017) Find in CUMINCAD Data Mining and Visualization of Large Human Behavior Data Sets , Ph.D. Thesis, TechnicalUniversity of Denmark (DTU)
40%; open D'Oca, S and Hong, T (2014) Find in CUMINCAD A data-mining approach to discover patterns of window opening and closing behavior in offices , Building and Environment, 82, pp. 726-739
40%; open D'Oca, S and Hong, T (2014) Find in CUMINCAD A Data-Mining Approach to Discover Patterns of Window Opening and Closing Behavior in Offices , Building and Environment, 82, p 726-739
40%; open Daniel Keim et al. (2003) Find in CUMINCAD Pixel Based Visual Mining of Geo-Spatial Data , Computer & Graphics 28(3) pp.327~344(Preprint submitted to Elsevier Science 2003)
40%; open De Oliveira MCF and Levkowitz H. (2003) Find in CUMINCAD From visual data exploration to visual data mining: a survey , IEEE T Vis Comput Gr 2003; 9: 378–394.
40%; open De Oliveira, MCF and Levkowitz, H (2003) Find in CUMINCAD From visual data exploration to visual data mining: a survey , IEEE Transactions on Visualization and Computer Graphics, 9(3), pp. 378-394
40%; open Demsar, U (2006) Find in CUMINCAD Data Mining of Geospatial Data: Combining Visual and Automatic Methods , PhD thesis, KTH, Stockholm, Sweden
40%; open Demsar, U. (2006) Find in CUMINCAD Data Mining of Geospatial Data: Combining Visual and Automatic Methods , PhD Thesis. KTH
40%; open Demsar, U. (2006) Find in CUMINCAD Data Mining of Geospatial Data: Combining Visual and Automatic Methods , PhD Thesis. KTH
40%; open Demšar, J., Curk, T., Erjavec, A., Gorup, Č., Hočevar, T., Milutinovič, M., ...& Zupan, B. (2013) Find in CUMINCAD Orange: data mining toolbox in Python , the Journal of machine Learning research, 14(1), 2349-2353
40%; open Dharmarajan, A and Velmurugan, T (2016) Find in CUMINCAD Efficiency of k-Means and k-Medoids Clustering Algorithms using Lung Cancer Dataset , International Journal of Data Mining Techniques and Applications, 150, pp. 150-156
40%; open Dunham, M.H. (2003) Find in CUMINCAD Data Mining: Introductory and Advanced Topics , Prentice Hall
40%; open Erhan, H, Abuzuraiq, A, Zarei, M, Alsalman, O, Woodbury, R and Dill, J (2020) Find in CUMINCAD What do design data say about your model? a case study on reliability and validity , Proceedings of the 25th Int. Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA
40%; open Erhan, H., A. M. Abuzuraiq, M. Zarei, O. Alsalman, R. Woodbury, And J. Dill (2020) Find in CUMINCAD What Do Design Data Say About Your Model? a Case Study on Reliability and Validity , CAADRIA 219. Bangkok, Thailand, pp. 557-567
40%; open Erhan, H., Abuzuraiq, A. M., Zarei, M., Alsalman, O., Woodbury, R., & Dill, J. (2020) Find in CUMINCAD What do design data say about your model? A case study on reliability and validity , Proc. of the 25th CAADRIA (Vol. 1, pp. 557-567)
40%; open Erhan, H., Abuzuraiq, A., Zarei, M., AlSalman, O., Woodbury, R., & Dill, J. (2020) Find in CUMINCAD What Do Design Data Say About Your Model? - A Case Study on Reliability and Validity , Proceedings of the 25th CAADRIA Conference. pp. 557-567
40%; open Erhan, H., Abuzuraiq, A., Zarei, M., Alsalman, O., Woodbury, R., & Dill, J. (2020) Find in CUMINCAD What Can Data Reveal About Your Design Model? A Case Study on Reliability and Validity , 25th International Conference of the Association for CAADRIA
40%; open Eshaghi, S., Afshar, S. V., Hadighi, M. (2023) Find in CUMINCAD A Framework Proposal for Developing Historical Video Games Based on Player Review Data Mining to Support Historic Preservation , ARCC 2023, pp. 297-305
40%; open Espinosa, R., Garriga, L., Zubcoff, J. J., & Mazón, J. N. (2014) Find in CUMINCAD Linked open data mining for democratisation of big data , 2014 IEEE Int. Conf. on Big Data (pp. 17-19)
40%; open Ester, M, Kriegel, HPa and Xu, X (1996) Find in CUMINCAD A density-based algorithm for discovering clusters inlarge spatial databases with noise , Proceedings of the Second International Conference onKnowledge Discovery and Data Mining (KDD-96), pp. 226-231

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