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KNOWLEDGE MIS-MANAGEMENT

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

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  1. KNOWLEDGE MIS-MANAGEMENT USF The University of Sigmund Freud

  2. The current research • Mental Mapping and Multi-media Analysis (MMAMMA) • An analysis of graphical content in JASIST

  3. Procedure • Study of cluster and other similar graphics • Study of columnar and bar charts, graphs and tables

  4. 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

  5. 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)

  6. Cluster Data Median Transformation

  7. Columnar and Chart Data

  8. 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

  9. 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

  10. 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.

  11. Thank you! Your time is up, that will be 90 dollars!

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