• DocumentCode
    3207491
  • Title

    Visual mining in the information spa

  • Author

    Elsayed, Adel

  • Author_Institution
    Univ. of Bolton, Bolton
  • fYear
    2007
  • fDate
    23-26 July 2007
  • Firstpage
    665
  • Lastpage
    674
  • Abstract
    This paper presents an epistemological perspective of how Web mining can be performed by human agents and a technical overview of a possible approach to achieve this. The concept of visual mining of information is based on the principle of creating a fused information space that could be navigated using visual perception, just as we do within a natural environment. It is argued that as the information available through human-created artifacts increase, conventional methods of information acquisition will fail to circumvent the bottleneck created by the associated information overflow. Four types of human-created artifacts are identified: cognitive externalisations, artistic expressions, communicative accounts and factual records. It is the communicative artifacts that are responsible for the information overflow. As a possible way forward, it is suggested that an information space could be constructed in two layers, a perceptual layer and a cognitive layer. The information in the perceptual layer could be encoded in iconic cues to create an information landscape that could be navigated visually. Hence, allowing the sophisticated engine of visual perception to take charge of information navigation. The cognitive layer, on the other hand, will accommodate the information engendering data structures of the communicative artifacts, which will be structured in such a way that allows an efficient form of information consumption.
  • Keywords
    Internet; cognition; data mining; visual perception; Web mining; artistic expressions; cognitive externalisations; cognitive layer; communicative accounts; data structures; epistemological perspective; factual records; human agents; human-created artifacts; information acquisition; information overflow; information space; perceptual layer; visual mining; visual perception; Data mining; Data structures; Engines; High performance computing; Humans; Machine learning; Navigation; Visual databases; Visual perception; Web mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Commerce Technology and the 4th IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services, 2007. CEC/EEE 2007. The 9th IEEE International Conference on
  • Conference_Location
    Tokyo
  • Print_ISBN
    0-7695-2913-5
  • Type

    conf

  • DOI
    10.1109/CEC-EEE.2007.104
  • Filename
    4285284