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Browsing by Subject "Databases"

Browsing by Subject "Databases"

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  • Dhaini, Bassel H. (Notre Dame University-Louaize, 2004)
    The aim of data mining as a scientific research is developing methods to analyze large amounts of data in order to discover interesting regularities or exceptions. Typical problems, which should be resolved during developing effective data mining algorithms, arise from the large sizes of both: The data sets used in the data mining process and the patterns results sets (for example in rules) which form discovered knowledge. Scientific researchers are oriented to find the most advantageous (i.e. most effective) solutions both during the data preparation stage and exploration and finally post- ...
  • Abboud, Micheline (Notre Dame University-Louaize, 2005-04)
    The Grid initiative provides an infrastructure for distributed computation among widely distributed high-performance computers. This will allow for exchanging and processing very large amounts of data. There are a huge number of applications that are geographically distributed such as multi-point radio facility for astrophysics, space physics, atmospheric physics, and radio research, utilizing very high performance Grid Computing. It is expected that similar applications to become important in commercial settings, initially for scientific and technical computing applications and then for commercial ...
  • Bouorm, Ramez (Notre Dame University-Louaize, 2005)
    The classic way for communication between database and applications is performed using ODBC (for standard applications) and DLL files (for distributed applications). The job of theses API's is to connect to database for sending and retrieving information. We introduce the WDBC pattern that is designed to do the same tasks but in addition, it guarantees the safety of data (by doing backup of database over the network) and can be integrated in an application that is created with different programming languages and running on different operating systems.