Big Data Science

Smarter and instant analysis for huge amounts of video

- Jubatus, a scalable big data real-time analysis framework -

Abstract

Jubatus is an online machine learning framework on distributed environments. This is the first framework in the world. Jubatus learns optimal models without prior knowledge and analyzes complex big data like surveillance videos on memory. Several useful algorithms are provided on Jubatus, such as clustering, regression, recommendation, classification, and graph mining. We can immediately analyze big data arrived at high-speed by using these algorithms. Jubatus archives high performance and scalability by adding low-cost servers for increasing amount of data. How do you analyze increasing big data? The goal of Jubatus is to achieve the world that everyone can easily utilize machine learning. We will promote the development of easy-to-use machine learning frameworks.

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Poster


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Presentor

Keitaro Horikawa
Keitaro Horikawa
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Masato Sawada
Masato Sawada
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Yoshitaka Nakamura
Yoshitaka Nakamura
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Satoshi Oda
Satoshi Oda
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Machiko Toyoda
Machiko Toyoda
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Syunsuke Kurihara
Syunsuke Kurihara
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Akihiro Yamanaka
Akihiro Yamanaka
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Hiroki Kumazaki
Hiroki Kumazaki
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Takuro Udagawa
Takuro Udagawa
NTT Software Innovation Center
Distributed Data Processing Platform SE Project
Shotaro Tora
Shotaro Tora
NTT Software Innovation Center
Distributed Data Processing Platform SE Project