Presentation | 2014/1/23 Distributed Online Decision Tree Learning for Stream Data Based on Actor Model Koichi YAMAMOTO, Kohei SAKURAI, Satoshi YAMANE, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Because the conventional decision tree learning algorithm is not designed for the large-scale data computing, it isn't practical for stream data. VFDT is an online decision tree algorithm and it supports the analysis of stream data, but, it is difficult to treat the data flow of high frequency, and large quantity. So it is necessary to construct The load sharing system for online decision tree learning. We propose the method that map a branch in tree model to a data flow by message passing in actor model and disperse the node in the tree model to plural machines for realizing the load sharing system. The system performs processing to the data by distributing tasks and a data flow becomes the trigger of the next processing. In addition, It is able to cope with the unstable stream data because the system easily performs to cut a branch or to construct the subtree by changing the transmission of data in the message passing. We use the actor library in programming language Scala for implementation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Data stream mining / Online decision tree / Destributed decision tree / Actor model |
Paper # | SS2013-58,MSS2013-61 |
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Committee | SS |
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Conference Date | 2014/1/23(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Software Science (SS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Distributed Online Decision Tree Learning for Stream Data Based on Actor Model |
Sub Title (in English) | |
Keyword(1) | Data stream mining |
Keyword(2) | Online decision tree |
Keyword(3) | Destributed decision tree |
Keyword(4) | Actor model |
1st Author's Name | Koichi YAMAMOTO |
1st Author's Affiliation | Presently with Natural Science & Technology, Kanazawa University() |
2nd Author's Name | Kohei SAKURAI |
2nd Author's Affiliation | Kanazawa University |
3rd Author's Name | Satoshi YAMANE |
3rd Author's Affiliation | Kanazawa University |
Date | 2014/1/23 |
Paper # | SS2013-58,MSS2013-61 |
Volume (vol) | vol.113 |
Number (no) | 422 |
Page | pp.pp.- |
#Pages | 6 |
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