Data Management is the process of planning, coordinating and
controlling data resources. More often, applications need to store
and search a large amount of data. Managing Data has been
continuously challenged by demands from various areas and
applications and has evolved in parallel with advances in hardware
and computing techniques.
This volume focuses on its recent advances and it is composed of
five parts and a total of eighteen chapters. The first part of the
book contains five contributions in the area of information
retrieval and Web intelligence: a novel approach to solving index
selection problem, integrated retrieval from Web of documents and
data, bipolarity in database querying, deriving data summarization
through ontologies, and granular computing for Web intelligence.
The second part of the book contains four contributions in
knowledge discovery area. Its third part contains three
contributions in information integration and data security area.
The remaining two parts of the book contain six contributions in
the area of intelligent agents and applications of data management
in medical domain.
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