• DocumentCode
    3125134
  • Title

    Visualized Elucidations of Ranking by Exploiting Object Relations

  • Author

    Zhang, Xinpeng ; Asano, Yasuhito ; Yoshikawa, Masatoshi

  • Author_Institution
    Grad. Sch. of Inf., Kyoto Univ. Yoshida-Honmachi, Kyoto
  • fYear
    2009
  • fDate
    March 29 2009-April 2 2009
  • Firstpage
    1576
  • Lastpage
    1579
  • Abstract
    For understanding human activity, a useful approach is to rank people according to the strength of their relations to a specified person. Similarly, rankings of objects based on such a relation are used in several fields. Several methods have been proposed for computing the strength of a relation between two objects. These methods do not present a reason why an object has a stronger relation to a specified object than another object has. Therefore, it is difficult for a user to understand a ranking obtained using these methods. On the other hand, the authors recently proposed a method for computing the strength of a relation through mining objects to elucidate the relation. We propose a ranking tool based on this method to afford a better understanding of a ranking. Our ranking tool has the following three characteristics for understanding a ranking: (1) it visualizes a relation by displaying objects that are important for elucidating the relation; (2) it classifies ranked objects into several groups, e.g., the two groups of "petroleum exporting countries\´\´ and "petroleum consuming countries\´\´ for ranking countries based on their respective relations to petroleum; and (3) it visualizes a reason explaining why an object has a stronger relation to a specified object than another object has. We explain novel ideas used in our ranking tool for understanding a ranking based on relations, and claim how effective the features of our tool are by presenting examples.
  • Keywords
    data mining; program visualisation; elucidation visualization; object display; object relations; petroleum exporting countries´; ranking methods; Data engineering; Data visualization; Design methodology; Diseases; Humans; Informatics; Petroleum; Social network services; Web pages; Wikipedia;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    1084-4627
  • Print_ISBN
    978-1-4244-3422-0
  • Electronic_ISBN
    1084-4627
  • Type

    conf

  • DOI
    10.1109/ICDE.2009.163
  • Filename
    4812575