DUBIN, D. Structure in Document Browsing Spaces. PhD thesis, University of Pittsburgh, 1996. Home/Search Document Details and Download
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Consistency, Clarity Control: Development of a new approach to.. - Upstill (2000) (Correct)
....to common discriminators. In this model the dimensions are compressed using springs, with each spring representing a dimension. An in depth description of spring based models is given is section 5.3.1. An example is shown in figure 2.14. Systems that use this model include the VIBE system [49, 15, 36, 23], WebVIBE [45, 43, 44] LyberWorld [25, 24] Bead [9] and Mitre [33] A survey of these visualisations is provided in appendix A.1. Venn based models are a class of information visualisations that allow users to interpret or provide Boolean queries and results. In this model, the dimensions are ....
....allow for swift identification of noise in the image collection. 4.5.2 Clarity Current WWW search engines provide thumbnail grid result visualisations. Thumbnail grids do not express why images were retrieved or how retrieved images are related and thereby make it harder to find relevant images [34, 15]. The transparent cluster visualisation facilitates user understanding of why images are retrieved and which query terms matched which documents. This assists the user in deciphering the rationale for the retrieved image collection and avoids user frustration by facilitating the what to do ....
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DUBIN, D. Structure in Document Browsing Spaces. PhD thesis, University of Pittsburgh, 1996.
Toward More Robust Discrimination-Based Indexing Models - Dubin (1999) (Correct)
....among the documents containing the term and discrimination of those documents from the others in the collection. 6 0. 6 The Stop List Effect Another complication of the TDV model emerged from Dubin s research into the indexing of documents to support browsing with visualization interfaces [3, 4]. It was discovered that the discrimination value of a term can be radically different, depending on whether the frequencies of common stop words are included or excluded from the similarity computations. Some of those terms deemed strongest when stop words were included were among the worst when ....
....are responding to relationships (perhaps correlative or co occurrence relationships) with one or more other terms in the collection. A more in depth investigation into the relationship between discriminatory power and intercorrelation was undertaken as part of an earlier study by Dubin [3, 4]. Despite its complexity and sensitivity, Salton s measure of discriminatory power responds (most of the time) to straightforward and understandable properties of word and phrase occurrences in documents. Terms that occur frequently in a fairly small subset of documents discriminate that subset ....
DUBIN,D.S. Structure in Document Browsing Spaces. PhD thesis, University of Pittsburgh, 1996.
Further Cautions for the Calculation of Discrimination Values - Dubin (1999) (Correct)
....image, sound, or other non text attributes) should note the measure s complexity and sensitivity. ISRN UIUCLIS 1999 3 IRG Copyright c #1997, 1998 by David Dubin and the Trustees of the University of Illinois. Some of the results reported in this paper are more completely documented in [5]. That research was conducted partially under funding from the National Science Foundation, through project number IRI 9529072. Contents 0.1 Discrimination Value as a Theory of Term Importance . 1 0.2 Willett s Criticism of the Term Discrimination Model . 7 0.3 ....
....of terms in common [6] On the other hand, clustered document spaces may afford benefits to users of visualization interfaces, whether or not the cluster hypothesis is a reasonable assumption. Research by Dubin has been directed toward reliable interactive clustering of retrieved document sets [5]. The goal of that research is for searchers to apprehend structure in the data they retrieve whether or not jointly relevant documents are similar to each other [3] In early studies the effectiveness of the term discrimination model was tested in very pragmatic tests of recall and precision. ....
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DUBIN,D.Structure in Document Browsing Spaces. PhD thesis, University of Pittsburgh, 1996.
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