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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_id acadia12_501
id acadia12_501
authors Willis, Bryce R. ; Hemsath, Timothy L. ; Hardy, Steve
year 2012
title A Parametric Multi-Criterion Housing Typology
source ACADIA 12: Synthetic Digital Ecologies [Proceedings of the 32nd Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-1-62407-267-3] San Francisco 18-21 October, 2012), pp. 501-510
summary Architects have been using computers for documentation but they are yet to engage them within a process designing that goes beyond basic representation. This paper explains a project that explores an alternate way computers could be unitized in architecture. More specifically, for the creation of mass customizable homes whose design quality can be controlled through the use of shape and grammar based rules that reliably produce controlled variation with its structure. The ultimate goal of the project was to develop a prototype within the parametric software grasshopper. The development of this project was based on the idea that homebuilders could engage this type of tool to deliver better products that could be custom tailored for their clients and architects could utilize within their design process.
keywords Parametric , Housing , Shape Grammar
series ACADIA
type normal paper
last changed 2013/01/09 10:06

_id 70cc
authors Witten, I.H. and Frank, E.
year 2000
title Data Mining - Practical Machine Learning Tools and Techniques with JAVA Implementations
source Morgan Kaufmann
summary Witten and Frank's textbook was one of two books that I used for a data mining class in the Fall of 2001. The book covers all major methods of data mining that produce a knowledge representation as output. Knowledge representation is hereby understood as a representation that can be studied, understood, and interpreted by human beings, at least in principle. Thus, neural networks and genetic algorithms are excluded from the topics of this textbook. We need to say "can be understood in principle" because a large decision tree or a large rule set may be as hard to interpret as a neural network. The book first develops the basic machine learning and data mining methods. These include decision trees, classification and association rules, support vector machines, instance-based learning, Naive Bayes classifiers, clustering, and numeric prediction based on linear regression, regression trees, and model trees. It then goes deeper into evaluation and implementation issues. Next it moves on to deeper coverage of issues such as attribute selection, discretization, data cleansing, and combinations of multiple models (bagging, boosting, and stacking). The final chapter deals with advanced topics such as visual machine learning, text mining, and Web mining.
series other
last changed 2003/04/23 13:50

_id cf2013_139
id cf2013_139
authors Yuan, Philip F.; Mei Zhang, and Li Han
year 2013
title Low-Tech Digital Fabrication: Traditional Brick as Material in Digital Practice
source Global Design and Local Materialization[Proceedings of the 15th International Conference on Computer Aided Architectural Design Futures / ISBN 978-3-642-38973-3] Shanghai, China, July 3-5, 2013, pp. 139-148.
summary Advanced digital fabrication methods are not widely accessible in a developing country like China, where investment in high construction technology is slow and the already known construction methods and manual labour are preferred. The question addressed here is how to put advanced design ideas into practice in developing countries. In order to realize digital architecture in China the fabrication field cannot merely depend on high-technology and avoid low-technological means. The present paper goes through two projects of the Chinese architectural practice Archi-Union to discuss how, through appropriate application of computational technology, digital fabrication revitalizes traditional fabrication techniques, by developing computational aids to traditional construction. In particular, we emphasize the integration of digital fabrication, low-technology and traditional local material.
keywords Digital design, Low-technology fabrication, Brick
series CAAD Futures
last changed 2014/03/24 06:08

_id ecaade2017_169
id ecaade2017_169
authors Zupancic, Tadeja, Verbeke, Johan, Herneoja, Aulikki and Achten, Henri
year 2017
title Competences for Digital Leadership in Architecture
source Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 289-296
summary The use of "digital technology" - computer software, new material application, rapid prototyping, Computer Aided Manufacturing, Virtual Reality, collaborative design - is no longer a novel and innovative aspect of architectural design. In fact, many offices and architects use a varied mix of these technologies in their daily practice. We can observe that digital technology has become a mature part of architectural practice. In this paper, we want to outline an outstanding level of excellence in the use of digital technologies that enable certain widely acknowledged offices (for example Foster and Partners, UN Studio, BIG, and so on) to take their design work to high degree of quality and performance. We call this level and phenomenon "digital leadership." Digital leadership goes beyond technical digital skills. It is an integrated and holistic approach that makes no distinction between "architectural design" and "digital technology" and in fact creates a new blend of both. We propose that digital leadership has six key areas: Technological Ecologies; Creativity, Knowledge Processes, and Experimentation; Design and Research; Human Resources and Leadership; Collaborative and Explorative Environments and Impact of Digital Leadership. These are discussed in more detail in this paper.
keywords architecture; digital leadership competences; research by design; creative practice; design research; impact
series eCAADe
last changed 2017/09/13 13:13

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