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Multidimensional Sequence Alignment Methods for Activity Pattern Analysis: A comparison of dynamic programming and genetic algorithms

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Author Info
Joh, Chang-Hyeon
Arentze, Theo A.
Timmermans, Harry J. P.
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File URL: http://www-sre.wu-wien.ac.at/ersa/ersaconfs/ersa99/Papers/a279.pdf
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Paper provided by European Regional Science Association in its series ERSA conference papers with number ersa99pa279.

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Date of creation: Aug 1999
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Handle: RePEc:wiw:wiwrsa:ersa99pa279

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  1. W C Wilson, 1998. "Activity pattern analysis by means of sequence-alignment methods," Environment and Planning A, Pion Ltd, London, vol. 30(6), pages 1017-1038, June. [Downloadable!] (restricted)
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