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A Dynamic Mobility Histogram Construction Method Based on Markov Chains
http://hdl.handle.net/2237/7521
http://hdl.handle.net/2237/7521032a0096-cc2f-4a6f-83b1-1a2d59398f2a
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
ssdbm2006.pdf (542.2 kB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2007-03-29 | |||||
| タイトル | ||||||
| タイトル | A Dynamic Mobility Histogram Construction Method Based on Markov Chains | |||||
| 言語 | en | |||||
| 著者 |
Ishikawa, Yoshiharu
× Ishikawa, Yoshiharu× Machida, Yoji× Kitagawa, Hiroyuki |
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| アクセス権 | ||||||
| アクセス権 | open access | |||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
| 権利 | ||||||
| 言語 | en | |||||
| 権利情報 | Copyright (c) 2006 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | With the recent progress of spatial information technologies and communication technologies, it has become easier to track positions of a large number of moving objects in real-time. Mobility statistics plays an important role in the interactive analysis of a large collection of moving objects trajectories and its use of movement pattern prediction. The development of an effective mobility statistics measure and its efficient computation method are critical issues. Thus, we propose an approach for constructing a mobility histogram to summarize a number of moving object trajectories. The histogram is based on a mobility statistics model called the Markov chain model. To facilitate an interactive analysis performed by a user, we provide a mobility histogram data cube-like logical representation and support an OLAP-style analysis. Since trajectory data is often received continuously as a trajectory stream, we have to support dynamic histogram construction and maintenance. We introduce a tree structure as the physical representation of a histogram and present histogram construction and maintenance methods that work efficiently within the given upperbound size. We evaluate the performance and the precision of the proposed method by means of experiments. | |||||
| 言語 | en | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプresource | http://purl.org/coar/resource_type/c_6501 | |||||
| タイプ | journal article | |||||
| 出版タイプ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | https://doi.org/10.1109/SSDBM.2006.7 | |||||
| ISBN | ||||||
| 関連タイプ | isPartOf | |||||
| 識別子タイプ | ISBN | |||||
| 関連識別子 | 0-7695-2590-3 | |||||
| 書誌情報 |
en : Proceedings of the 18th International Conference on Scientific and Statistical Database Management (SSDBM 2006) p. 359-368, 発行日 2006-07 |
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| フォーマット | ||||||
| 値 | application/pdf | |||||
| 著者版フラグ | ||||||
| 値 | publisher | |||||
| URI | ||||||
| 識別子 | http://hdl.handle.net/2237/7521 | |||||
| 識別子タイプ | HDL | |||||
