Knowledge Discovery

1. Knowledge Discovery in
Databases
By: Diwas Kandel- 17618843
Type B

2. Knowledge Discovery
• Knowledge discovery is the nontrivial extraction of implicit, previously
unknown, and potentially useful, information from data.
• Exponentially increasing data/information
• Hard to analyse the data due to its increasing volume.

3. Knowledge Discovery
• It has been estimated that the amount of information in the
world doubles every 20 months.
• Characteristics of Knowledge Discovery
• Certainty
• Interesting
• Efficiency

4. Comparison of various terms

5. Related Approaches
• Database management
• Expert Systems
• Statistics
• Scientific Discovery

6. Need of KDD
• There is an urgent need for a new generation of computational theories and
tools to assist humans in Extracting useful Information (knowledge) from
the rapidly growing volumes of digital data.
• Use in various fields such as science and businesses
• Marketing
• Investment
• Fraud Detection
• Telecommunications

7. Review of Papers
• Norton, M. J. (1999). Knowledge discovery in databases. Library
Trends, 48(1), 9-21.
• Fayyad, U., Piatetsky-Shapiro, G., & Smyth, P. (1996). From data mining to
knowledge discovery in databases. AI magazine, 17(3), 37.
• Frawley, W. J., Piatetsky-Shapiro, G., & Matheus, C. J. (1992). Knowledge
discovery in databases: An overview. AI magazine, 13(3), 57.