Quality Measures In Data Mining (studies In Computational Intelligence)
by Fabrice Guillet /
2007 / English / PDF
6.3 MB Download
Data mining analyzes large amounts of data to discover knowledge
relevant to decision making. Typically, numerous pieces of
knowledge are extracted by a data mining system and presented to
a human user, who may be a decision-maker or a data-analyst. The
user is confronted with the task of selecting the pieces of
knowledge that are of the highest quality or interest according
to his or her preferences. Since this selection is sometimes a
daunting task, designing quality and interestingness measures has
become an important challenge for data mining researchers in the
last decade.
Data mining analyzes large amounts of data to discover knowledge
relevant to decision making. Typically, numerous pieces of
knowledge are extracted by a data mining system and presented to
a human user, who may be a decision-maker or a data-analyst. The
user is confronted with the task of selecting the pieces of
knowledge that are of the highest quality or interest according
to his or her preferences. Since this selection is sometimes a
daunting task, designing quality and interestingness measures has
become an important challenge for data mining researchers in the
last decade.
This volume presents the state of the art concerning quality and
interestingness measures for data mining. The book summarizes
recent developments and presents original research on this topic.
The chapters include surveys, comparative studies of existing
measures, proposals of new measures, simulations, and case
studies. Both theoretical and applied chapters are included.
Papers for this book were selected and reviewed for correctness
and completeness by an international review committee.
This volume presents the state of the art concerning quality and
interestingness measures for data mining. The book summarizes
recent developments and presents original research on this topic.
The chapters include surveys, comparative studies of existing
measures, proposals of new measures, simulations, and case
studies. Both theoretical and applied chapters are included.
Papers for this book were selected and reviewed for correctness
and completeness by an international review committee.