Presentation | 2013-11-29 In this paper, we study on-line algorithms for mining a various kinds of frequent data on data stream. Koji IWANUMA, Yoshitaka YAMAMOTO, Shuji ITO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Firstly, we give a brief survey the state-of-art online data mining algorithms for stream data. Secondly, we show a novel efficient on-line algorithm for extracting frequent subsequences from a multiple-data stream. This algorithm solves the important problem that a large amount of memories are suddenly consumed when bursty arrivals occurs in a data stream. The proposed on-line algorithm can limit the available memory to a given fixed space. The proposed algorithm have no false negatives under some conditions, and also have some other properties such as robustness. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | stream data / data mining / frequent data / on-line algorithm / sequential mining |
Paper # | AI2013-33 |
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Conference Information | |
Committee | AI |
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Conference Date | 2013/11/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | In this paper, we study on-line algorithms for mining a various kinds of frequent data on data stream. |
Sub Title (in English) | |
Keyword(1) | stream data |
Keyword(2) | data mining |
Keyword(3) | frequent data |
Keyword(4) | on-line algorithm |
Keyword(5) | sequential mining |
1st Author's Name | Koji IWANUMA |
1st Author's Affiliation | University of Yamanashi() |
2nd Author's Name | Yoshitaka YAMAMOTO |
2nd Author's Affiliation | University of Yamanashi |
3rd Author's Name | Shuji ITO |
3rd Author's Affiliation | University of Yamanashi |
Date | 2013-11-29 |
Paper # | AI2013-33 |
Volume (vol) | vol.113 |
Number (no) | 332 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |