Data Mining & Data Ware House
Data Mining & Data Ware House
41. Hybrid is
- Combining different types of method or information
- Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.
- Decision support systems that contain an information base filled with the knowledge of an expert formulated in terms of if-them rules
- None of these
42. Evolutionary computation is
- Combining different types of method or information
- Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.
- Decision support systems that contain an information base filled with the knowledge of an expert formulated in terms of if-then rules.
- None of these
43. Expert systems
- Combining different types of method or information
- Approach to the design of learning algorithms that is structured along the lines of the theory of evolution.
- Decision support systems that contain an information base filled with the knowledge of an expert formulated in terms of if-them rules
- None of these
44. Extendible architecture is
- Modular design of a software application that facilitates the integration of new modules
- Showing a universal law or rule to be invalid by providing a counter example
- A set of attributes in a database table that refers to data in another table
- None of these
45. Falsification is
- Modular design of a software application that facilitates the integration of new modules
- Showing a universal lawl or rule to be invalid by providing a counter example
- A set of attributes in a database table that refers to data in another table
- None of these
46. Foreign key is
- Modular design of a software application that facilitates the integration of new modules
- Showing a universal law or rule to be invalid by providing a counter example
- A set of attributes in a database table that refers to data in another table
- None of these
47. Hybrid learning is
- Machine-learning involving different techniques
- The learnng algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned
- Learning by generalizing from examples
- None of these
48. Incremental learning referred to
- Machine-learning involving different techniques
- The learning algorithmic analyzes the examples on a systematic basis and makes incremental adjustments to the theory that is learned
- Learning by generalizing from examples
- None of these
49. Information content is
- The amount of information with in data as opposed to the amount of redundancy or noise
- One of the defining aspects of a data warehouse
- Restriction that requires data in one column of a database table to the a subset of another-column.
- None of these
50. Inclusion dependencies
- The amount of information with in data as opposed to the amount of redundancy or noise
- One of the defining aspects of a data warehouse
- Restriction that requires data in one column of a database table to the a sub-set of another-column
- None of these