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CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
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_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 15:50

_id	ga0009
id	ga0009
authors	Lewis, Matthew
year	2000
title	Aesthetic Evolutionary Design with Data Flow Networks
source	International Conference on Generative Art
summary	For a little over a decade, software has been created which allows for the design of visual content by aesthetic evolutionary design (AED) [3]. The great majority of these AED systems involve custom software intended for breeding entities within one fairly narrow problem domain, e.g., certain classes of buildings, cars, images, etc. [5]. Only a very few generic AED systems have been attempted, and extending them to a new design problem domain can require a significant amount of custom software development [6][8]. High end computer graphics software packages have in recent years become sufficiently robust to allow for flexible specification and construction of high level procedural models. These packages also provide extensibility, allowing for the creation of new software tools. One component of these systems which enables rapid development of new generative models and tools is the visual data flow network [1][2][7]. One of the first CG packages to employ this paradigm was Houdini. A system constructed within Houdini which allows for very fast generic specification of evolvable parametric prototypes is described [4]. The real-time nature of the software, when combined with the interlocking data networks, allows not only for vertical ancestor/child populations within the design space to be explored, but also allows for fast "horizontal" exploration of the potential population surface. Several example problem domains will be presented and discussed. References: [1] Alias \| Wavefront. Maya. 2000, http://www.aliaswavefront.com [2] Avid. SOFTIMAGE. 2000, http://www.softimage.com [3] Bentley, Peter J. Evolutionary Design by Computers. Morgan Kaufmann, 1999. [4] Lewis, Matthew. "Metavolve Home Page". 2000, http://www.cgrg.ohio-state.edu/~mlewis/AED/Metavolve/ [5] Lewis, Matthew. "Visual Aesthetic Evolutionary Design Links". 2000, http://www.cgrg.ohio-state.edu/~mlewis/aed.html [6] Rowley, Timothy. "A Toolkit for Visual Genetic Programming". Technical Report GCG-74, The Geometry Center, University of Minnesota, 1994. [7] Side Effects Software. Houdini. 2000, http://www.sidefx.com [8] Todd, Stephen and William Latham. "The Mutation and Growth of Art by Computers" in Evolutionary Design by Computers, Peter Bentley ed., pp. 221-250, Chapter 9, Morgan Kaufmann, 1999.
series	other
email
more	http://www.generativeart.com/
last changed	2003/08/07 17:25

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