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KNOWLEDGE MIS-MANAGEMENT. USF The University of Sigmund Freud. The current research. Mental Mapping and Multi-media Analysis (MMAMMA) An analysis of graphical content in JASIST. Procedure. Study of cluster and other similar graphics Study of columnar and bar charts, graphs and tables.

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knowledge mis management

KNOWLEDGE MIS-MANAGEMENT

USF

The University of Sigmund Freud

the current research
The current research
  • Mental Mapping and Multi-media Analysis

(MMAMMA)

  • An analysis of graphical content in JASIST
procedure
Procedure
  • Study of cluster and other similar graphics
  • Study of columnar and bar charts, graphs and tables
procedural issues
Procedural Issues
  • Digital Library STILL unavailable
  • Weeded extraneous data such as
    • Text
    • Context
    • Kept some pretext (of scholarship)
  • Razored graphics from paper JASIST issues
  • Scanned into Adobe Acrobat
processed with updated image recognition algorithm
Processed With Updated Image Recognition Algorithm
  • The eigenspace representation of images has attracted much attention recently among vision researchers. The basic idea is to represent images or image features in a transformed space where the individual features are uncorrelated. For a given set of (deterministic) images this can be achieved by performing the Singular Value Decomposition (SVD). The statistical equivalent of this is the Karhunen-Loeve Transform (KLT) which is computed by diagonalizing the autocorrelation matrix of the image ensemble. Both are well known techniques in image processing. However, they are computationally expensive.
  • S. Chandrasekaran † , B.S. Manjunath † , Y.F. Wang ‡ , J. Winkeler † , and H. Zhang ‡ (1996)
findings
Findings
  • Researchers Anderson and Lee (Cluster data) were concerned with:
    • Bilaterality
    • Symmetry
    • Data Stability
      • Plotted data seemed to change size frequently
    • Data life
      • Plot of older data revealed ellipsoid pattern
findings1
Findings
  • Researchers Dole and Palmiero (Columnar data) were concerned with:
    • Sample Size
    • Data Stability
    • Data Permanence
      • In some cases data was not available for all intended uses
    • Data life
      • Plot of older data revealed more horizontal pattern
conclusions
Conclusions
  • It is Data when you store it,
  • Information when you find it
  • and Knowledge when you use it
  • Sometimes data is just data, Ada.
slide11

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