Search (1 results, page 1 of 1)

  • × author_ss:"Fenstermacher, K.D."
  • × theme_ss:"Data Mining"
  1. Fenstermacher, K.D.; Ginsburg, M.: Client-side monitoring for Web mining (2003) 0.02
    0.02432995 = product of:
      0.0486599 = sum of:
        0.0486599 = product of:
          0.0973198 = sum of:
            0.0973198 = weight(_text_:web in 1611) [ClassicSimilarity], result of:
              0.0973198 = score(doc=1611,freq=14.0), product of:
                0.17002425 = queryWeight, product of:
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.052098576 = queryNorm
                0.57238775 = fieldWeight in 1611, product of:
                  3.7416575 = tf(freq=14.0), with freq of:
                    14.0 = termFreq=14.0
                  3.2635105 = idf(docFreq=4597, maxDocs=44218)
                  0.046875 = fieldNorm(doc=1611)
          0.5 = coord(1/2)
      0.5 = coord(1/2)
    
    Abstract
    "Garbage in, garbage out" is a well-known phrase in computer analysis, and one that comes to mind when mining Web data to draw conclusions about Web users. The challenge is that data analysts wish to infer patterns of client-side behavior from server-side data. However, because only a fraction of the user's actions ever reaches the Web server, analysts must rely an incomplete data. In this paper, we propose a client-side monitoring system that is unobtrusive and supports flexible data collection. Moreover, the proposed framework encompasses client-side applications beyond the Web browser. Expanding monitoring beyond the browser to incorporate standard office productivity tools enables analysts to derive a much richer and more accurate picture of user behavior an the Web.
    Footnote
    Teil eines Themenheftes: "Web retrieval and mining: A machine learning perspective"