KNOWLEDGE MIS-MANAGEMENT

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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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