Cumincad : CUMINCAD References : Search Results

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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	Hartmann, PM, Zaki, M, Feldmann, Niels and Neely, Andy (2014) Big Data for Big Business? A Taxonomy of Data-driven Business Models used by Start-up Firms , Cambridge Service Alliance

	Hasan, K.T., Addullah, S., Ahmed, R. and Giunchiglia, F. (2013) The history of temporal data visualization and a proposed event centric timeline visualization model , International Journal of Computer Applications (0975-8887), 10(27), pp. 27 -33

	Hashem, IAT, Chang, V, Anuar, NB, Adewole, K, Yaqoob, I, Gani, A, Ahmed, E and Chiroma, H (2016) The role of big data in smart city , International Journal of Information Management, 36(5), pp. 748-758

	Hasler, S, Chenal, J and Soutter, M (2017) Digital Tools as a Means to Foster Inclusive, Data-informed Urban Planning , Civil Engineering and Architecture, 5(6), pp. 230-239

	Hasler, S, Chenal, J and Soutter, M (2017) Digital Tools as a Means to Foster Inclusive, Data-informed Urban Planning , Civil Engineering and Architecture, 5, pp. 230-239

	Hasler, S, Chenal, J and Soutter, M (2017) Digital tools as a means to foster inclusive, data-informed urban planning , Civil Engineering and Architecture, 5, pp. 230-239

	Hastie, T, Tibshirani, R and Friedman, J (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2nd edition , Springer, Berlin/Heidelberg, Germany

	Hastie, T, Tibshirani, R and Friedman, J (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition , Springer, Berlin/Heidelberg, Germany

	Hastie, T., Tibshirani, R., & Friedman, J. (2009) The Elements of Statistical Learning: Data Mining, Inference, and Prediction , York, Springer-Verlag New

	Haveliwala, T.H. (2003) Topic-Sensitive PageRank: A context-sensitive ranking algorithm for web search , IEEE Transactions on Knowledge and Data Engineering 15(July/August)

	Healey, CG, Amant, RS and Elhaddad, MS (2000) ViA: a Perceptual Visualization Assistant , AIPR Workshop: 3D Visualization for Data Exploration, SPIE, pp. 2-11

	Healey, RG and Delve, J (2007) Integrating GIS and Data Warehousing in a Web Environment: A Case Study of the US 1880 Census , The internet of things: 20th Tyrrhenian workshop on digital communications, 21(6), pp. 603-624

	Hearn, D. and Baker, M.P. (1981) Computer Graphics , Prentice-Hall, Digital Representation for Communication of Product Definition Data. ANSI Y14.26M

	Heath T and Bizer C. (2011) Linked data: evolving the web into a global data space , Synth Lect Semant Web Theory Technol; 1(1): 1–36

	Heeren, N., & Fishman, T. (2019) A database seed for a community-driven material intensity research platform , Scientific data, 6(1), 23. https://doi.org/10.1038/s41597-019-0021-x

	Held, Gilbert and Marshall, Thomas R. (1996) Data and Image Compression: Tools and Techniques. , John Wiley & Sons Ltd.

	Held, J, Stonebraker, M, Davenport, TH, Ilyas, I, Brodie, ML, Palmer, A and Markarian, J (2016) Getting Data Right. Tackling the Challenges of Big Data Volume and Variety , O'Reilly Media

	Hemmersam, P, Martin, N, Westvang, E, Aspen, J and Morrison, A (2015) Exploring Urban Data Visualisation and Public Participation in Planning , Journal of Urban Technology, 22, pp. 45-64

	Hemmersam, P, Martin, N, Westvang, E, Aspen, J and Morrison, A (2015) Exploring Urban Data Visualization and Public Participation in Planning , Journal of Urban Technology, 22(4), pp. 45-64

	Henderson, M.R., and Chang, G.J. (1988) FRAPP: Automated Feature Recognition and Process Planning from solid model data , Computers in Engineering vol. 1: pp. 529-536. ASME

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