Data Mining And Warehouse Set 14
On This Page
This set of Data Mining and Data Warehouse Multiple Choice Questions & Answers (MCQs) focuses on Data Mining And Warehouse Set 14
Q1 | Data is
- Group of similar objects that differ significantly from other objects
- Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm
- Symbolic representation of facts or ideas from which information can potentially be extract
Q2 | A definition of a concept is——if it recognizes all the instances of that concept.
- Complete
- Consistent
- Constant
- None of these
Q3 | A definition or a concept is ———————if it does not classify any examples as coming within the concept
- Complete
- Consistent
- Constant
- None of these
Q4 | Classification task referred to
- A subdivision of a set of examples into a number of classes
- A measure of the accuracy, of the classification of a concept that is given by a certain theory
- The task of assigning a classification to a set of examples
- None of these
Q5 | Database is
- 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
Q6 | Data cleaning is
- 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
Q7 | Data dictionary is
- 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
Q8 | Data mining 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
- None of these
Q9 | Data selection 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
- None of these
Q10 | 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
- None of these
Q11 | Coding is
- Group of similar objects that differ significantly from other objects
- Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm
- Symbolic representation of facts or ideas from which information can potentially be extracted
- None of these
Q12 | DB/2 is
- A family of relational database manage- ment 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.
- None of these
Q13 | 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.
- None of these
Q14 | Decision trees 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.
- None of these
Q15 | Deep knowledge referred to
- It is hidden within a database and can only be recovered if one is given certain clues (an example IS encrypted information)
- The process of executing implicit previously unknown and potentially useful information from dat(A)
- An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.
- None of these
Q16 | Discovery is
- It is hidden within a database and can only be recovered if one is given certain clues (an example IS encrypted information).
- The process of executing implicit previously unknown and potentially useful information from dat(A)
- An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.
- None of these
Q17 | DNA (Deoxyribonucleic acid)
- It is hidden within a database and can only be recovered if one is given certain clues (an example IS encrypted information).
- The process of executing implicit previously unknown and potentially useful information from dat (A)
- An extremely complex molecule that occurs in human chromosomes and that carries genetic information in the form of genes.
- None of these
Q18 | Enrichment is
- A stage of the KDD process in which new data is added to the existing selection
- The process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them.
- The distance between two points as calculated using the Pythagoras theorem.
- None of these
Q19 | Enumeration is referred to
- A stage of the KDD process in which new data is added to the existing selection.
- The process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them
- The distance between two points as calculated using the Pythagoras theorem.
- None of these
Q20 | Euclidean distance measure is
- A stage of the KDD process in which new data is added to the existing selection.
- The process of finding a solution for a problem simply by enumerating all possible solutions according to some pre-defined order and then testing them.
- The distance between two points as calculated using the Pythagoras theo- rem
- None of these
Q21 | Heuristic is
- A set of databases from different vendors, possibly using different database paradigms
- An approach to a problem that is not guaranteed to work but performs well in most cases.
- Information that is hidden in a database and that cannot be recovered by a simple SQL query.
- None of these
Q22 | Heterogeneous databases referred to
- A set of databases from different vendors, possibly using different database paradigms
- An approach to a problem that is not guaranteed to work but performs well in most cases.
- Information that is hidden in a database and that cannot be recovered by a simple SQL query.
- None of these
Q23 | Hidden knowledge referred to
- A set of databases from different vendors, possibly using different database paradigms
- An approach to a problem that is not guaranteed to work but performs well in most cases.
- Information that is hidden in a database and that cannot be recovered by a simple SQL query.
- None of these
Q24 | 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-then rules.
- None of these
Q25 | 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