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

id ecaade2016_120
authors Takizawa, Atsushi
year 2016
title Estimating Potential Event Occurrence Areas in Small Space based on Semi-supervised Learning
source Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 169-178
wos WOS:000402064400016
summary We propose a method for relatively small space that can optimize the size and shape of the neighborhood of an event occurrence spot on a grid space to minimize the classification error using classification by aggregating emerging patterns based on the concept of semi-supervised learning. We apply this method to data of waiting people in the Umeda Underground Mall and show that the proposed method can improve classification accuracy and understandability of classification rules.
keywords Small space; spatial event; clustering; classification; mixed integer quadratic programing
series eCAADe
email takizawa@arch.eng.osaka-cu.ac.jp
full text file.pdf (6,241,615 bytes)
references Cumincad : CUMINCAD References : TOC for Robots

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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