Data Mining And Warehouse Set 15
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This set of Data Mining and Data Warehouse Multiple Choice Questions & Answers (MCQs) focuses on Data Mining And Warehouse Set 15
Q1 | 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-then rules
- None of these
Q2 | 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
Q3 | Falsification 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
Q4 | 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
Q5 | Hybrid learning is
- 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
Q6 | 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
Q7 | 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 sub- set of another-column.
- None of these
Q8 | 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
Q9 | KDD (Knowledge Discovery in Databases) 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
Q10 | Key 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
Q11 | Inductive learning is
- 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
Q12 | Integrated 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 sub- set of another-column.
- None of these
Q13 | Knowledge engineering is
- The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
- It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks.
- A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
- None of these
Q14 | Kohonen self-organizing map referred to
- The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
- It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks
- A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
- None of these
Q15 | Learning is
- The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system
- It automatically maps an external signal space into a system’s internal representational space. They are useful in the performance of classification tasks.
- A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out.
- None of these
Q16 | Learning algorithm referrers to
- An algorithm that can learn
- A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
- A machine-learning 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
Q17 | Meta-learning is
- An algorithm that can learn
- A sub-discipline of computer science that deals with the design and implementation of learning algorithms.
- A machine-learning 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
Q18 | 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
Q19 | Inductive logic programming 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 as always predicting the same output.
- None of these
Q20 | 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 prediction made using an extremely simple method, such as always predicting the same output.
- None of these
Q21 | 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 as always predicting the same output.
- None of these
Q22 | 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
Q23 | 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
Q24 | 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
Q25 | Statistical significance is
- The science of collecting, organizing, and applying numerical facts
- Measure of the probability 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