マルチコアCPU上における文書ストリーム上のバースト検出手法-広島市立大学機関リポジトリ

Online documents on the social media sites are represented as a document stream, because the documents have a temporal order. This has resulted in numerous studies on extracting a frequent phenomenon (involving, e.g., keywords, users, and locations) known as a burst. In this paper, we propose a novel parallelization method for the parallel processing of Kleinberg's burst detection algorithm for a large-scale document stream. The proposed parallelization method combines the inter-task with the intra-task parallelization model. A combination of inter- and intra-task parallelization can achieve seamless dynamic load balancing, and detect a burst in a large-scale document stream on memory.

掲載雑誌名

2012 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2012 IEEE SMC Hiroshima Chapter 若手研究会講演論文集

開始ページ

終了ページ

出版年月日

2012-07

出版者

IEEE SMC Hiroshima Chapter

本文言語

日本語

資料タイプ

会議発表論文

著者版フラグ

著者版

権利情報

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