Knowledge Discovery in Databases Using Multivalued Array Algebra

Abstract

In the past, the way of turning data into knowledge relied on manual analysis and interpretation. Nowadays computational techniques are used in order to extract knowledge from data. Changing data into knowledge is not a straightforward task. Data is generally disorganized, contains useless details and may be incomplete. Knowledge is the opposite, organized but expressed using a poorer language, which might even be imprecise or vague.

Knowledge Discovery in Databases is the nontrivial process of identifying valid, novel, potentially useful, and understandable patterns in data. The Multivalued Array Algebra does not handle raw data, it handles declarative descriptions of the data by means of a multivalued language. This paper proposes and addresses the use of the Multivalued Array Algebra for Knowledge Discovery in Databases.