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Research on the technology of data management in ubiquitous computing environment

Research Project

Project/Area Number 16500064
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeSingle-year Grants
Section一般
Research Field Media informatics/Database
Research InstitutionIwate Prefectural University

Principal Investigator

WANG Jiahong  Iwate Prefectural University, Faculty of Software and Information Science, Associate Professor, ソフトウェア情報学部, 准教授 (80305292)

Co-Investigator(Kenkyū-buntansha) TAKATA Toyoo  Iwate Prefectural University, Faculty of Software and Information Science, Professor, ソフトウェア情報学部, 教授 (50216652)
BISTA Bhedbahadur  Iwate Prefectural University, Faculty of Software and Information Science, Associate Professor, ソフトウェア情報学部, 准教授 (10305287)
KODAMA Eiichiro  Iwate Prefectural University, Faculty of Software and Information Science, Assistant Professor, ソフトウェア情報学部, 講師 (00305301)
LI Jie  University of Tsukuba, Department of Computer Science, Associate Professor, 電子情報工学系, 准教授 (50251046)
Project Period (FY) 2004 – 2006
Project Status Completed (Fiscal Year 2006)
Budget Amount *help
¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 2006: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 2005: ¥1,300,000 (Direct Cost: ¥1,300,000)
Fiscal Year 2004: ¥1,200,000 (Direct Cost: ¥1,200,000)
KeywordsDatabase Management System / Ubiquitous Computing / Context / Data Mining / Blocking Block-Oriented Data Processing / Time Sequences / Security / ユビキタスコンピューティング / セキュリティー / 実時間処理 / データストリーム
Research Abstract

Our information society needs a computing environment where on-demand services are provided to respond to users' requests that may occur anywhere and anytime. In the environment, computers are embedded in each object such as refrigerator and medicine bottle. Whoever can access a service anywhere and anytime. From the viewpoint of the objects in such a ubiquitous computing environment, a new kind of databases is formed. In this research, we address the subject of managing data in the u ubiquitous computing environment.
First, to meet the needs of ubiquitous computing, a blocking block-oriented model of constructing database management systems is proposed. A prototype has been implemented using SQLITE--a free database management system.
Then, considering that users' requests in the ubiquitous computing environment are often of contexts such as location, time slot, temperature, and the like, a context-based recommending approach is proposed and implemented.
Finally, considering that an application in the ubiquitous computing environment is generally of a specific domain (e.g., an application with a sensor network monitoring the growing status of crops), an application-oriented prefetching cache is proposed and implemented.
The center and essence of both recommending and caching stated above are the data mining technique. A novel sequential pattern mining algorithm is proposed. In addition, considering that for the ubiquitous computing environment, data mining among multiple sites is necessary, but the privacy is a concern and preserving the privacy is the precondition, a novel privacy-preserving distributed mining algorithm is also proposed..

Report

(4 results)
  • 2006 Annual Research Report   Final Research Report Summary
  • 2005 Annual Research Report
  • 2004 Annual Research Report
  • Research Products

    (7 results)

All 2007 2006

All Journal Article (7 results)

  • [Journal Article] A High Collusion-Resistant Approach to Distributed Privacy-Preserving Data Mining2007

    • Author(s)
      王家宏, 高田豊雄, 児玉英一郎他
    • Journal Title

      情報処理学会論文誌 : データベース TOD・34(6月)(印刷中)

    • NAID

      130000058274

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2006 Annual Research Report 2006 Final Research Report Summary
  • [Journal Article] Mining Frequent Patterns Securely in Distributed System2006

    • Author(s)
      王家宏, 高田豊雄他
    • Journal Title

      IEICE Transactions on Information and Systems E89-D・11

      Pages: 2739-2749

    • NAID

      110007538481

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2006 Annual Research Report 2006 Final Research Report Summary
  • [Journal Article] Mining Sequential Patterns More Efficiently by Reducing the Cost of Scanning Sequence Databases2006

    • Author(s)
      王家宏, 高田豊雄, 児玉英一郎, 李頡他
    • Journal Title

      情報処理学会論文誌 47・12

      Pages: 3365-3379

    • NAID

      130000058323

    • Description
      「研究成果報告書概要(和文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] Mining Frequent Patterns Securely in Distributed System2006

    • Author(s)
      Jiahong Wang, Toyoo Takata, etc.
    • Journal Title

      IEICE Transactions on Information and Systems Vol.E89-D, No.11

      Pages: 739-2749

    • NAID

      110007538481

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] Mining Sequential Patterns More Efficiently by Reducing the Cost of Scanning Sequence Databases2006

    • Author(s)
      Jiahong Wang, Toyoo Takata, Eiichiro Kodama, Jie Li, etc.
    • Journal Title

      Journal of Information Processing Society of Japan Vol.47, No.12

      Pages: 3365-3379

    • NAID

      130000058323

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] A High Collusion-Resistant Approach to Distributed Privacy-Preserving Data Mining2006

    • Author(s)
      Jiahong Wang, Toyoo Takata, Eiichiro Kodama, etc.
    • Journal Title

      To appear in Journal of Information Processing Society of Japan : Transactions On Database Vol.TOD-34

    • NAID

      130000058274

    • Description
      「研究成果報告書概要(欧文)」より
    • Related Report
      2006 Final Research Report Summary
  • [Journal Article] Mning Sequential Patterns More Efficiently by Redcing the Cost of Scanning Sequence Databases2006

    • Author(s)
      王家宏, 高田豊雄, 児玉英一郎, 李頡他
    • Journal Title

      情報処理学会論文誌 47・12

      Pages: 3365-3379

    • Related Report
      2006 Annual Research Report

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Published: 2004-04-01   Modified: 2016-04-21  

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