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	Browse All Reviews > Information Systems (H) > Database Management (H.2) > Database Applications (H.2.8) > Scientific Databases (H.2.8...)     Options: All Media Types Journals Proceedings Div Books Whole Books Other Date Reviewed Title Author Publisher Published Date Descending Ascending     1-4 of 4 Reviews about "Scientific Databases (H.2.8...)": Date Reviewed   Characteristics of scientific Web publications: preliminary data gathering and analysis Jepsen E., Seiden P., Ingwersen P., Björneborn L., Borlund P. Journal of the American Society for Information Science and Technology 55(14): 1239-1249, 2004.  Type: Article Suppose I was searching the Web for scientific publications about search engines. If I use the two keywords in a search engine, I get a large number of hits (more than 40 million using Google). Given the large amount of information ava... Jul 20 2005   Text analytics for life science using the unstructured information management architecture Mack R., Mukherjea S., Soffer A., Uramoto N., Brown E., Coden A., Cooper J., Inokuchi A., Iyer B., Mass Y., Matsuzawa H., Subramaniam L. IBM Systems Journal 43(3): 490-515, 2004.  Type: Article Text mining is an emerging technology for analyzing large collections of unstructured documents, for the purposes of extracting interesting and novel knowledge.... Feb 11 2005   Approximated trial and error analysis in scientific databases Stolte E., Alonso G. Information Systems 28(1-2): 137-157, 2003.  Type: Article Distributed scientific data repositories are becoming common in many applications and disciplines. This presents challenges to our ability to access large datasets for analysis and visualization. Despite increasing network speeds, very... Sep 3 2003   Instrumenting and tuning dataView- a networked application for navigating through large scientific datasets Slottow J., Shahriari A., Stein M., Chen X., Thomas C., Ender P. Software--Practice & Experience 32(2): 165-190, 2002.  Type: Article There are many applications that enable scientists to fly visually through regularly gridded, time-varying 3D datasets from their desktops. As the size of scientific datasets increases, the ability of these applications to scale is co... Oct 11 2002
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