Data Mining & Data Ware House
Data Mining & Data Ware House
71. Prediction is
- The result of the application of a theory or a rule in a specific case
- One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table
- Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces.
- None of these
72. Primary key is
- The result of the application of a theory or a rule in a specific case
- One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table
- Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces.
- None of these
73. Noise is
- A component fo a network
- In the context of KDD and data mining. this refers to random errors in a database table.
- One of the defining aspects of a data warehouse
- None of these
74. Quadratic complexity is
- A reference to the speed of an algorithm, which is quadratically dependent on the size of the dat(A)
- Attributes of a database table that can take only numerical values.
- Tools designed to query a database.
- None of these
75. Query tools are
- A reference to the speed of an algorithm, which is quadratically dependent on the size of the dat(A)
- Attributes of a database table that can take only numberical values
- Tools designed to query a database.
- None of these
76. Prolog is
- A programming language based on logic
- A computer where each processor has its own operating system, its own memory, and its own hard disk.
- Describes the structure of the contents of a database.
- None of these
77. Massively parallel machine is
- A programming language based on logic
- A computer where each processor has its own operating system, its own memory, and its own hard disk.
- Describes the structure of the contents of a database
- None of these
78. Operational database is
- A measure of the desired maximal complexity of data mining algorithms
- A database containing volatile data used for the daily operation of an organzation
- Relational database management system
- None of these
79. Operational database is
- A measure of the desired maximal complxeity of data mining alorithms
- A database containing volatile data used for the daily operation of an organization
- Relational database management system
- None of these
80. Oracle is referred to
- A measure of the desired maximal complexity of data mining algorithms
- A database containing volatile data used for the daily operation of an organization
- Relational datbase management system
- None of these