@inproceedings{park2002,
abstract = {Fourier Domain Scoring (FDS) has been shown to give a 60\%
improvement in precision over the existing vector
space methods, but its index requires a large
storage space. We propose a new Web text mining
method using the discrete cosine transform (DCT) to
extract use- ful information from text documents and
to provide improved document ranking, without having
to store excessive data. While the new method
preserves the performance of the FDS method, it
gives a 40\% improve- ment in precision over the
established text mining methods when using only 20\%
of the storage space required by FDS.},
address = {Berlin},
author = {Laurence A.~F.~Park and Marimuthu Palaniswami and Kotagiri Ramamohanarao},
booktitle = {The 6th European Conference on Principles of Data Mining and Knowledge Discovery},
date-modified = {2008-06-30 15:31:15 +1000},
doi = {10.1007/3-540-45681-3_32},
editor = {T. Elomaa and H. Mannila and H. Toivonen},
keywords = {signal processing; information retrieval; laurence},
month = {August},
number = {2431},
pages = {385-396},
publisher = {Springer-Verlag},
series = {Lecture Notes in Artificial Intelligence},
title = {A novel Web text mining method using the Discrete Cosine Transform},
url = {http://www.cs.mu.oz.au/~lapark/PKDD02_Park.pdf},
year = {2002},
bdsk-url-1 = {%22http://www.cs.mu.oz.au/~lapark/PKDD02_Park.pdf%22},
bdsk-url-2 = {http://www.cs.mu.oz.au/~lapark/PKDD02_Park.pdf},
bdsk-url-3 = {http://dx.doi.org/10.1007/3-540-45681-3_32}
}
@inproceedings{park2002.2,
abstract = {The traditional methods of spectral text retrieval
(FDS,CDS) create an index of spatial data and
convert the data to its spectral form at query
time. We present a new method of implementing and
querying an index containing spectral data which
will conserve the high precision performance of the
spectral methods, reduce the time needed to resolve
the query, and maintain an acceptable size for the
index. This is done by taking advantage of the
properties of the discrete cosine transform and by
applying ideas from vector space document ranking
methods.},
address = {Los Alamitos, California, USA},
author = {Laurence A.~F.~Park and Kotagiri Ramamohanarao and Marimuthu Palaniswami},
booktitle = {The Second IEEE International Conference on Data Mining},
date-modified = {2008-06-30 15:32:12 +1000},
doi = {10.1109/ICDM.2002.1183922},
editor = {Vipin Kumar and Shusaku Tsumoto},
keywords = {signal processing; information retrieval; laurence},
month = {December},
optorganization = {IEEE Computer Society},
pages = {346-353},
publisher = {IEEE Computer Society},
title = {A new implementation technique for fast Spectral based document retrieval systems},
url = {http://www.cs.mu.oz.au/~lapark/ICDM02_Park.pdf},
year = {2002},
bdsk-url-1 = {http://www.cs.mu.oz.au/~lapark/ICDM02_Park.pdf},
bdsk-url-2 = {http://dx.doi.org/10.1109/ICDM.2002.1183922}
}
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