مشاهده مشخصات مقاله
A New Classification Approach Based on Cooperative Game
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نویسنده (ها) |
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Atefeh Torkaman
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Nasrollah Moghaddam Charkari
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Mahnaz Aghaeipour
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مربوط به کنفرانس |
چهاردهمین کنفرانس بینالمللی سالانه انجمن کامپیوتر ایران |
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چکیده |
Classification is a well known task in data mining
and machine learning that aims to predict the class of
items as accurately as possible. A well planned data
classification system makes essential data easy to find.
An object is classified into one of the categories called
classes according to the features that well separated
the classes. Actually, classification maps an object to
its classification label. Many researches used different
learning algorithms to classify data; neural networks,
decision trees, etc.
In this paper, a new classification approach based
on cooperative game is proposed. Cooperative game is
a branch of game theory consists of a set of players
and a characteristic function which specifies the value
created by different subsets of the players in the game.
In order to find classes in classification process,
objects can be imagine as the players in a game and
according to the values which obtained by these
players, classes will be separated. This approach can
be used to classify a population according to their
contributions. In the other words, it applies equally to
different types of data. Through out this paper, a
special case in medical diagnosis was studied. 304
samples taken from human leukemia tissue consists of
17 attributes which determine different CD markers
related to leukemia were analyzed. These samples
collected from different types of leukemia at Iran Blood
Transfusion Organization (IBTO). Obtained results
demonstrate that cooperative game is very promising
to use directly for classification. |
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قیمت |
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برای اعضای سایت : ۱٠٠,٠٠٠ ریال
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برای دانشجویان عضو انجمن : ۲٠,٠٠٠ ریال
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برای اعضای عادی انجمن : ۴٠,٠٠٠ ریال
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