Data Mining And Warehouse Set 13
On This Page
This set of Data Mining and Data Warehouse Multiple Choice Questions & Answers (MCQs) focuses on Data Mining And Warehouse Set 13
Q1 | Which is not the type of attribute used in distance measure?
- ordinal
- nominal
- binay
- rank
Q2 | _____ method is used to find the distance between two objects represented by numerical attributes.
- euclidean distance
- minkowski distance
- manhattan distance
- all of these
Q3 | Contingency table is prepared for _______ attribute data.
- ordinal
- nominal
- binay
- integer
Q4 | Which are the applications of proximity measures?
- classification
- clustering
- knn classifier
- all of these
Q5 | _________ matrix represents the distance between all objects in the dataset
- confusion
- dissimilarity
- similarity
- square
Q6 | If o1 and o2 are two objects and distance between these objects is zero then it means_____
- o1 and o2 are totally similar
- o1 and o2 are totally dissimilar
- o1 and o2 are similar
- o1 and o2 are partially dissimilar
Q7 | Identify the correct subtype of Binary attribute.
- ordinal
- asymmetric
- symmetric
- both b and c
Q8 | _____ Lower when objects are more alike.
- dissimilarity
- recall
- similarity
- accuracy
Q9 | Adaptive system management is
- It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
- Computational procedure that takes some value as input and produces some value as output.
- Science of making machines performs tasks that would require intelligence when performed by humans
- None of these
Q10 | Algorithm is
- It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
- Computational procedure that takes some value as input and produces some value as output
- Science of making machines performs tasks that would require intelligence when performed by humans
- None of these
Q11 | Background knowledge referred to
- Additional acquaintance used by a learning algorithm to facilitate the learning process
- A neural network that makes use of a hidden layer.
- It is a form of automatic learning.
- None of these
Q12 | Back propagation networks is
- Additional acquaintance used by a learning algorithm to facilitate the learning process
- A neural network that makes use of a hidden layer
- It is a form of automatic learning.
- None of these
Q13 | Bayesian classifiers is
- A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
- Any mechanism employed by a learning system to constrain the search space of a hypothesis.
- An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
- None of these
Q14 | Bias is
- A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
- Any mechanism employed by a learning system to constrain the search space of a hypothesis.
- An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
- None of these
Q15 | Case-based learning is
- A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory.
- Any mechanism employed by a learning system to constrain the search space of a hypothesis.
- An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation.
- None of these
Q16 | Binary attribute are
- This takes only two values. In general, these values will be 0 and 1 and they can be coded as one bit
- The natural environment of a certain species
- Systems that can be used without knowledge of internal operations
- None of these
Q17 | Biotope are
- This takes only two values. In general, these values will be 0 and 1 and they can be coded as one bit.
- The natural environment of a certain species
- Systems that can be used without knowledge of internal operations
- None of these
Q18 | Black boxes
- This takes only two values. In general, these values will be 0 and 1 and they can be coded as one bit.
- The natural environment of a certain species
- Systems that can be used without knowledge of internal operations
- None of these
Q19 | Artificial intelligence is
- It uses machine-learning techniques. Here program can learn from past experience and adapt themselves to new situations
- Computational procedure that takes some value as input and produces some value as output.
- Science of making machines performs tasks that would require intelligence when performed by humans
- None of these
Q20 | Cache is
- It is a memory buffer that is used to store data that is needed frequently by an algorithm in order to minimize input/ output traffic
- The number of different values that a given attribute can take
- A mathematical conception of space where the location of a point is given by reference to its distance from two or three axes intersecting at right angles
- None of these
Q21 | Cardinality of an attribute is
- It is a memory buffer that is used to store data that is needed frequently by an algorithm in order to minimize input/ output traffic
- The number of different values that a given attribute can take
- A mathematical conception of space where the location of a point is given by reference to its distance from two or three axes intersecting at right angles
- None of these
Q22 | Cartesian space is
- It is a memory buffer that is used to store data that is needed frequently by an algorithm in order to minimize input/ output traffic
- The number of different values that a given attribute can take
- A mathematical conception of space where the location of a point is given by reference to its distance from two or three axes intersecting at right angles
- None of these
Q23 | Classification is
- 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
Q24 | Classification accuracy is
- A subdivision of a set of examples into a number of classes
- 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
Q25 | Cluster 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