Knowledge discovery

U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, R. Uthurusamy (Eds.), Advances in Knowledge Discovery and Data Mining, AAAI/MIT Press, Menlo Park, 1996. 

U. Fayyad, G. Grinstein, A. Wierse, Information Visualization in Data Mining and Knowledge Discovery, Morgan Kaufman Publishers, San Frandsco, USA, 2002. 

P. Smyth, From data mining to knowledge discovery An overview, in Advances in Knowledge Discovery and Datamining, U. M. Fayyad,... 

DuMouchel W, Pregibon D. Empirical Bayes screening for multi-item associations. In Seventh ACM SigKDD International Conference on Knowledge Discovery and Data Mining. San Erancisco ACM Press, 2001. 

Gaines, B., The trade-off between knowledge and data in knowledge acquisition. In Knowledge Discovery in Databases (G. Shapiro and W. Frawley, eds.), p. 491. MIT Press, Cambridge, MA, 1991. 

Shapiro, G., and Frawley, W eds, Knowledge Discovery in Databases. MIT Press Cambridge, MA. 1991. 

Chemical structural information is one of the missing pieces in the great effort to bring biomedical research into the realm of twenty-first century information extraction and knowledge discovery paradigms. Proteins, genes, diseases, and chemical compounds constitute the major entities extracted in the biomedical domain. The ability to read structure information and substructure information and their association to other entities could have a major impact on toxicity information in particular and ADMET data in general. 

V.M. Ashley P. Linke, 2004, A novel approach for reactor network network synthesis using knowledge discovery and optimization techniques, Chemical Engineering Research Design, 82 (A8) 952-960... 

Freitas, A. A. Data Mining and Knowledge Discovery with Evolutionary Algorithms. Springer, Berlin, 2002. 

Machine learning is defined as the use of algorithms to generate a model from data, which is one step in the knowledge discovery process, applied in the context... 

Burges, C. J. C. (1998). A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery, 2, 121-167. 

Gattermayer, T. 2007. SCAIView Annotation and Visualization System for Knowledge Discovery, Bonn-Aachen International Center for Information Technology, University of Bonn, Germany, October 2007. 

Mining and Knowledge Discovery, Prague, Czech Repub., 1999, in Lecture Notes in Computer Science, Springer, 1704, 262—270 (1999). OPTICS-OF Identifying Local Outliers. 

Principles and Practice of Knowledge Discovery in Databases, Lyon, France, 2000. Fast Hierarchical Clustering Based on Compressed Data and OPTICS. 

A. McCallum, K. Nigam, and L. H. Ungar, in Advances in Knowledge Discovery and Data... 

S. Kramer, L. De Raedt and C. Helma, Seventh ACM SIGKDD international conference on Knowledge discovery and data mining, San Francisco, California, August 26-29, 2001, 2001. 

Y. Chi, Y. Yang, Y. Xia and R. R. Muntz, in The Eighth Pacific Asia Conference on Knowledge Discovery and Data Mining (PAKDD 04), May 2004 Editon, Springer, London, UK, 2004. 

L. Dehaspe, H. Toivonen and R. D. King, in 4th International Conference on Knowledge Discovery and Data Mining, R. Agrawal, P. Stolorz and G. Piatetsky-Shapiro eds., AAAI Press, 1998, pp. 30-36. 

U. M. Fayyad, G Piatetsky-Shapiro, and P-Smyth, From Data Mining to Knowledge Discovery, AAAI Press/The MIT Press, Cambridge, MA, 1995. 

KDD. Knowledge Discovery in Database application of analysis and data mining techniques to discover "knowledge" that may be implicit but undiscovered in large amounts of data. 

Mentre, F. Ebelin, M.E. Validation of population pharmacokinetic/pharmacodynamic analyses review of proposed approaches. In The Population Approach Measuring and Managing Variability in Response, Concentration and Dose Aarons, L., Balant, L.P., Danhof M., Gex-Fabry, M., Gundert-Remy, U.A., Karlsson, M.O., Mentre, F., Morselli, R.L., Rombut, F., Rowland, M., Steimer, J.-L., Voseh, S., Eds. Commission of the European Communities, European Cooperation in the Eield of Scientific and Technical Research Brussels, 1997 147-160. Ette, E.I. Williams, P. Sun, H. Fadiran, E. Ajayi, F.O. Onyiah, L.C. The process of knowledge discovery from large pharmacokinetic data sets. J. Clin. Pharmacol. 2001, 41 (1), 25-34. 

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