Berichte des Symposiums "Chemical Data Analysis in the Large: The Challenge of the Automation Age"



22. - 26. Mai 2000, Bozen, Italien


Preface

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Web Search, Filtering, and Text Mining: Technology for a New  Era of Information Access
Bruce Croft
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Information Extraction from Biological Science Journal Articles: Enzyme Interactions and Protein Structures

Robert Gaizauskas, Kevin Humphreys and George Demetriou
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Designing Combinatorial Libraries by Exploring Drug Space

Valerie J. Gillet
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Clustering in Massive Data Sets
Fionn Murtagh
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Model-Based Data Compression: From Data Compression to Information Condensation
Holger Wallmeier
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Structural  Browsing  Indices  as  High-Throughput SAR Analysis Tools
Mark Johnson and Yong-Jin Xu
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Computation and Analysis of Large Chemistry Data Sets 
S. Stanley Young and Chris E. Keefer
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Prediction of Pharmaceutically Important Properties from Monte Carlo Simulations
William L. Jorgensen and Erin M. Duffy
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Quantum Cheminformatics:  An  Oxymoron?

Timothy Clark
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Mobile  Electrons  in  Molecules:  The Anisotropy of the Current-Induced Density (ACID)

Rainer Herges and Andrea Papafilippopoulos
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Visualisation and Integrated Data Mining of Disparate Information

Jefferey D. Saffer, Cory L. Albright, Augustin J. Calapristi, Guang Chen, Vernon L. Crow, Scott D. Decker, Kevin M. Groch, Susan L. Havre, Joel M. Malard, Tonya J. Martin, Nancy E. Miller, Philip J. Monroe, Lucy T. Nowell, Deborah A. Payne, Jorge F. Reyes Spindola, Randall E. Scarberry, Heidi J. Sofia, Lisa C. Stillwell, Gregory S. Thomas, Sarah J. Thurston, Leigh K. Williams and Sean J. Zabriskie
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