Web structure mining from time series web data---models and algorithms---
| Project/Area Number |
23500022
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Fundamental theory of informatics
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
UNO Yushi 大阪府立大学, 理学(系)研究科(研究院), 准教授 (60244670)
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| Project Period (FY) |
2011-04-28 – 2015-03-31
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| Project Status |
Completed (Fiscal Year 2014)
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| Budget Amount *help |
¥4,940,000 (Direct Cost: ¥3,800,000、Indirect Cost: ¥1,140,000)
Fiscal Year 2014: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2013: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2012: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | アルゴリズム / ウェブグラフ / 時系列 / データマイニング / 情報基礎 / 離散最適化 / 時系列データ / 遺伝子情報学 |
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| Outline of Final Research Achievements |
The link structure of the Web is generally viewed as a webgraph. In this research, by focusing on that the Web is changing and evolving dymanically over time, we successfully constructed models that represents a time series data of the link structure of the Web instead of webgraphs, and also developed algorithms, based on the constructed models, that can find potential structure representing hidden knowledge in the time series link data. We also verified the possibility of applying our methods to the problems in other fields.
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Report
(5 results)
Research Products
(21 results)
