شماره ركورد كنفرانس :
3806
عنوان مقاله :
Big Graph Mining and Applications
عنوان به زبان ديگر :
Big Graph Mining and Applications
پديدآورندگان :
Pejhan E e.pejhan@stu.yazd.ac.ir Yazd University, , Ghasemzadeh M m.ghasemzadeh@yazd.ac.ir Yazd University,
كليدواژه :
Graph theory , Big graphs , Big data , Graph mining.
عنوان كنفرانس :
دهمين كنفرانس ملي نظريه گراف و تركيبات جبري
چكيده فارسي :
Graphs are widely used in engineering and science. In practical applications,
the size and variety of the concerned graphs are growing very rapidly. These
graphs which usually consist of billions of nodes and trillions of edges are
known as big graphs. Since graphs are being used widely in representation of
data items and their relations, there is a growing demand for more efficient
graph mining algorithms. In this paper, some important big graph mining
systems are presented. The concerned mining systems have also been com-
pared from different aspects. Finally, some practical applications of the big
graphs are presented
چكيده لاتين :
Graphs are widely used in engineering and science. In practical applications,
the size and variety of the concerned graphs are growing very rapidly. These
graphs which usually consist of billions of nodes and trillions of edges are
known as big graphs. Since graphs are being used widely in representation of
data items and their relations, there is a growing demand for more efficient
graph mining algorithms. In this paper, some important big graph mining
systems are presented. The concerned mining systems have also been com-
pared from different aspects. Finally, some practical applications of the big
graphs are presented
