Data Mining & Data Ware House
Data Mining & Data Ware House
61. Machine learning is
- An algorithm that can learn
- A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
- An approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning.
- None of these
62. Inductive logic programming is
- A class of learning algorithm that try to derive a prolog program from examples
- A table with n independent attributes can be seen as an n- dimensionlal space
- A prediction made using an extremely simpl method, such as always predicting the same output.
- None of these
63. Multi-dimensional knowledge is
- A class of learning algorithms that try to derive a Prolog program from examples
- A table with n independent attributes can be seen as an n- dimensional space
- A pediction made using an extremely simple method, such as always predicting the same output.
- None of these
64. Naive prediction is
- A class of learning algorithms that try to derive a Prolog program from examples
- A table with n independent attributes can be seen as an n -dimensional space
- A prediction made using an extremely simple method, such asalways predicting the same output
- None of these
65. Knowledge is referred to
- Non-trivial extraction of implicit previously unknown and potentially useful information from dat(A)
- Set of columns in a database table that can be used to identify each record within this table uniquely
- collection of interesting and useful patterns in a database
- none of these
66. Node is
- A component of 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
67. Node is
- A component of 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 d ata warehouse
- None of these
68. Node is
- A component of 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
69. Projection pursuit 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
70. Statistical significance is
- The science of collecting, organizing, and applying numberical facts
- Measure of the probabiity that a certain hypothesis is incorrect given certain observations.
- One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational dat(A)
- None of these