Information Technology Reference
In-Depth Information
Meng, X. (2006, April 10-12). A Comparative Study of
Performance Measures for Information Retrieval Sys-
tems. Poster presentation, in the Proceedings of the Third
International Conference on Information Technology:
New Generations , Las Vegas, NV, (pp. 578-579).
tion provided on merchants' Web sites. Journal of the
Operational Research Society , 59 (4), 464-472.
Miller, G. (1995). WordNet: A lexical database for Eng-
lish. Communication of the ACM, 38 (11), 39-41.
Milligan, G., & Cooper, M. (1985). An examination of
procedures for determining the number of clusters in a
data set. Psychometrika , 50 , 159-179.
Meng, X., & Chen, Z. (2005). On single-value perfor-
mance measures of search engines from users' perspec-
tive . Manuscript, submitted for publication. September
2005.
Mitchell, T. M. (1997). Machine learning. McGraw-
Hill.
Meng, X., & Clark, T. (2005, April 4-6). An empirical
user rating of popular search engines using RankPower .
In Proceedings of the 2005 International Conference on
Information Technology , Las Vegas, (pp. 521-525).
Mitra, S., Pal, S. K., & Mitra, P. (2002). Data mining
in soft computing framework: A survey. IEEE Trans.
Neural Networks, 13 (1), 3-14.
Merrilees, B. & Fry, M. (2003). E-Trust: The influence
of perceived interactivity on e-tailing users. Marketing
Intelligence and Planning , 21 (2),123-128.
Miyahara, T. Suzuki, Y., Shoudai, T. Uchida, T. Taka-
hashi, K., & Uedal, H. (2004). Discovery of maximally
frequent tag tree patterns with contractible variables
from semistructured documents. In 8th Pacific-Asia
Conference on Knowledge Discovery and Data Mining
2004, (Lecture Notes in Artificial Intelligence, 3056,
133-144).
Meseguer, J. (1992). Conditional rewriting logic as a
unified model of concurrency. Theoretical Computer
Science, 96 , 73-155.
Meseguer, J., & Winkler, T. (1991). Parallel program-
ming in Maude. In Banatre, J.P., & Le Metayer, D. (eds.),
Proceedings of the Workshop on Research Directions
in High-Level Parallel programming Languages , Mont
Saint-Michel, France, (pp. 253-293). Springer-Verlag.
Mobasher, B., Cooley, R. & Srivastava, J. (1999). Data
preparation for mining world wide web browsing patterns.
Knowledge and Information Systems, 1 (1), 5-32.
Mobasher, B., Cooley, R., & Srivastava, J. (1999). Au-
tomatic personalization based on web usage mining.
Communications of the ACM, 43 (8), 142-151.
Meziane, F., & Kasiran, M. K. (2003). Extracting
unstructured information from the WWW to support
merchant existence in e-commerce. In A. Dusterhoft
& B. Thalheim (Eds.), Lecture Notes in Informatics,
Natural Language Processing and Information Systems ,
GI-Edition (pp.175-185). Bonn, Germany.
Mohanty, B. K., & Bhasker, B. (2005), Product classifica-
tion in the Internet business: A fuzzy approach. J ournal
of Decision Support Systems, 38 , 611-619.
Molinier, M., Laaksonen, J., Ahola, J., & Häme, T.
(2005, October 5-7). Self-organizing map application for
retrieval of man-made structures in remote sensing data.
In Proceedings of ESA-EUSC 2005: Image Information
Mining - Theory and Application to Earth Observation,
ESRIN, Frascati ,Italy.
Meziane, F., & Kasiran, M. K. (2005, June). Strategiz-
ing consumer logistic requirements in e-commerce
transactions: Evaluation of current implementations. In
Proceedings of the 3rd European Conference on Intel-
ligent Management Systems in Operations , (pp.116-125).
Salford, Manchester, UK: The Operational Research
Society.
Moneta, A. (2004). Causality and econometrics: some
philosophical underpinnings, Methods in Economics
Seminar Series , Pisa.
Meziane, F., & Kasiran, M. K. (2008). Evaluating trust
in electronic commerce: A study based on the informa-
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