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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. - PowerPoint PPT Presentation
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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
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
• 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)
Cluster Data Median Transformation
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Columnar and Chart Data
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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
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
• It is Data when you store it,
• Information when you find it
• and Knowledge when you use it
• Sometimes data is just
data, Ada.
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