1. Data dictionary is
A large collection of data mostly stored in a computer system
The removal of noise errors and incorrect input from a database
The systematic description of the syntactic structure of a specific database. It describes the structure of the attributes the tables and foreign key relationships
None of these
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2. Data warehouse is
The actual discovery phase of a knowledge discovery process
The stage of selecting the right data for a KDD process
A subject-oriented integrated time-variant non-volatile collection of data in support of management
3. Data cleaning is
Large collection of data mostly stored in a computer system
The systematic description of the syntactic structure of a specific database. It describes the structure of the attributes the tables and foreign key relationships.
4. Decision support systems (DSS) is
A family of relational database management systems marketed by IBM
Interactive systems that enable decision-makers to use databases and models on a computer in order to solve ill-structured problems
It consists of nodes and branches starting from a single root node. Each node represents a test or decision
5. Bayesian classifiers is
A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
Any mechanism employed by a learning system to constrain the search space of a hypothesis
An approach to the design of learning algorithms that are inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
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