Big Data Science

Knowledge discovery from large-scale graph data

- Efficient graph clustering and distributed query optimization -

Abstract

Recent advances in information science have shown that linked data pervade our society and the natural world around us. Graphs have become increasingly important for representing complicated structures such as Wikipedia, Freebase, and various social networks. However, existing algorithms cannot handle large graphs efficiently, so fast algorithms are needed. We introduce two fast algorithms. They outperform previous algorithms in terms of both speed and quality. Our algorithms are fundamental to many applications. Our algorithms allow many applications to be processed more efficiently and will help to improve the effectiveness of future applications.

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Presentor

Makoto Onizuka
Makoto Onizuka
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Yasuhiro Fujiwara
Yasuhiro Fujiwara
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Hiroaki Shiokawa
Hiroaki Shiokawa
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Junya Arai
Junya Arai
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Yasuhiro Iida
Yasuhiro Iida
NTT Software Innovation Center
Distributed Data Processing Platform SE Project