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Recent questions and answers in Data Mining and Warehousing

0 votes
1 answer
1
UGCNET-Oct2020-II: 35
The process of removing details from a given state representation is called _____ Extraction Mining Selection Abstraction
The process of removing details from a given state representation is called _____ Extraction Mining Selection Abstraction
answered Nov 30, 2020 in Data Mining and Warehousing Vishal_kumar98 66 views
0 votes
1 answer
2
UGCNET-Dec2004-II: 49
A data warehouse is always _________. Subject oriented Object oriented Program oriented Compiler oriented
A data warehouse is always _________. Subject oriented Object oriented Program oriented Compiler oriented
answered Apr 28, 2020 in Data Mining and Warehousing Shivshankar 98 views
2 votes
3 answers
3
UGCNET-June2013-III: 72
Which of the following is a knowledge representation technique used to represent knowledge about stereotype situation? Semantic network Frames Scripts Conceptual Dependency
Which of the following is a knowledge representation technique used to represent knowledge about stereotype situation? Semantic network Frames Scripts Conceptual Dependency
answered Sep 13, 2019 in Data Mining and Warehousing Nbhardwaj 3.3k views
0 votes
1 answer
5
UGCNET-Dec2014-III: 58
Match the following : ... , c-i, d-iii a-iv, b-iii, c-ii, d-i a-ii, b-iii, c-iv, d-i a-i, b-iii, c-iv, d-ii
Match the following : ... iv, b-ii, c-i, d-iii a-iv, b-iii, c-ii, d-i a-ii, b-iii, c-iv, d-i a-i, b-iii, c-iv, d-ii
answered Jul 7, 2018 in Data Mining and Warehousing ravikumarbanoth 1.1k views
1 vote
2 answers
6
UGCNET-June2014-III: 08
Consider a fuzzy set old as defined below Old =$ \left\{(20, 0.1), (30, 0.2), (40, 0.4), (50, 0.6), (60, 0.8), (70, 1), (80, 1)\right\}$. Then the alpha-cut for alpha = $0.4$ for the set old will be $\left\{(40, 0.4)\right\}$ $\left\{50, 60, 70, 80\right\}$ $\left\{(20, 0.1), (30, 0.2)\right\}$ $\left\{(20, 0), (30, 0), (40, 1), (50, 1), (60, 1), (70, 1), (80, 1)\right\}$
Consider a fuzzy set old as defined below Old =$ \left\{(20, 0.1), (30, 0.2), (40, 0.4), (50, 0.6), (60, 0.8), (70, 1), (80, 1)\right\}$. Then the alpha-cut for alpha = $0.4$ for the set old will be $\left\{(40, 0.4)\right\}$ $\left\{50, 60, 70, 80\right\}$ $\left\{(20, 0.1), (30, 0.2)\right\}$ $\left\{(20, 0), (30, 0), (40, 1), (50, 1), (60, 1), (70, 1), (80, 1)\right\}$
answered May 12, 2018 in Data Mining and Warehousing Prasanjeet Ghosh 5.7k views
5 votes
2 answers
7
ISRO-DEC2017-78
Consider the results of a medical experiment that aims to predict whether someone is going to develop myopia based on some physical measurements and heredity. In this case, the input dataset consists of the person's medical characteristics and the target ... myopia and $0$ for those who aren't. This can be best classified as Regression Decision Tree Clustering Association Rules
Consider the results of a medical experiment that aims to predict whether someone is going to develop myopia based on some physical measurements and heredity. In this case, the input dataset consists of the person's medical characteristics and the target variable is ... develop myopia and $0$ for those who aren't. This can be best classified as Regression Decision Tree Clustering Association Rules
answered Dec 21, 2017 in Data Mining and Warehousing hungrysoul554 1.9k views
1 vote
1 answer
9
UGCNET-Dec2015-II: 31
A data cube $C,$ has $n$ dimensions, and each dimensions has exactly $p$ distinct values in the base cuboid. Assume that there are no concept hierarchies associated with the dimensions. What is the maximum number of cells possible in the data cube, $C?$ $p^n$ $p$ $(2^n-1)(p+1)$ $(p+1)^n$
A data cube $C,$ has $n$ dimensions, and each dimensions has exactly $p$ distinct values in the base cuboid. Assume that there are no concept hierarchies associated with the dimensions. What is the maximum number of cells possible in the data cube, $C?$ $p^n$ $p$ $(2^n-1)(p+1)$ $(p+1)^n$
answered Feb 7, 2017 in Data Mining and Warehousing sanjeela.sagar 1.8k views
1 vote
1 answer
10
UGCNET-AUG2016-III: 73
Criticism free idea generation is a factor of _____. Decision Support System Group Decision Support System Enterprise Resource Support System Artificial Intelligence
Criticism free idea generation is a factor of _____. Decision Support System Group Decision Support System Enterprise Resource Support System Artificial Intelligence
answered Oct 5, 2016 in Data Mining and Warehousing Sanjay Sharma 952 views
0 votes
0 answers
11
UGCNET-June2010-II: 2
'$R$ is a robot of $M$’ means $R$ can perform some of the tasks that otherwise $M$ would do and $R$ is unable to do anything else.Which of the following is the most appropriate representation to model this situation? None of these
'$R$ is a robot of $M$’ means $R$ can perform some of the tasks that otherwise $M$ would do and $R$ is unable to do anything else.Which of the following is the most appropriate representation to model this situation? None of these
asked Sep 14, 2016 in Data Mining and Warehousing makhdoom ghaya 645 views
2 votes
0 answers
12
UGCNET- June2016-II: 48
 [closed]
asked Aug 26, 2016 in Data Mining and Warehousing jothee 245 views
1 vote
1 answer
13
UGCNET-Dec2015-III: 45
Reasoning strategies used in expert systems include Forward chaining, backward chaining and problem reduction Forward chaining, backward chaining and boundary mutation Forward chaining, backward chaining and back propagation Forward chaining, problem reduction and boundary mutation
Reasoning strategies used in expert systems include Forward chaining, backward chaining and problem reduction Forward chaining, backward chaining and boundary mutation Forward chaining, backward chaining and back propagation Forward chaining, problem reduction and boundary mutation
answered Aug 11, 2016 in Data Mining and Warehousing sh!va 1.5k views
3 votes
1 answer
14
UGCNET-Dec2015-II: 34
____ allows selection of the relevant information necessary for the data warehouse: The Top-Down View Data Warehouse View Datasource View Business Query View
____ allows selection of the relevant information necessary for the data warehouse: The Top-Down View Data Warehouse View Datasource View Business Query View
answered Aug 8, 2016 in Data Mining and Warehousing Sanjay Sharma 1.8k views
1 vote
1 answer
15
UGCNET-Dec2015-II: 33
____ system is market oriented and is used for data analysis by knowledge workers including Managers, Executives adn Analysts. OLTP OLAP Data System Market System
____ system is market oriented and is used for data analysis by knowledge workers including Managers, Executives adn Analysts. OLTP OLAP Data System Market System
answered Aug 8, 2016 in Data Mining and Warehousing sh!va 1.7k views
3 votes
1 answer
16
UGCNET-Dec2014-III: 70
Consider the following statements about a perception : $I$. Feature detector can be any function of the input parameters. $II$. Learning procedure only adjusts the connection weights to the output layer. Identify the correct statement out of the following : $I$ is false and $II$ is ... true and $II$ is false. $ I$ is false and $II$ is true. $I$ is true and $II$ is true.
Consider the following statements about a perception : $I$. Feature detector can be any function of the input parameters. $II$. Learning procedure only adjusts the connection weights to the output layer. Identify the correct statement out of the following : $I$ is false and $II$ is false. $I$ is true and $II$ is false. $​I$ is false and $II$ is true. $I$ is true and $II$ is true.
answered Aug 3, 2016 in Data Mining and Warehousing Sanjay Sharma 877 views
1 vote
1 answer
17
UGCNET-Dec2014-III: 59
Match the following components of an expert system : ... , c-iv, d-ii a-iv, b-iii, c-i, d-ii a-i, b-iii, c-ii, d-iv a-iv, b-i, c-iii, d-ii
Match the following components of an expert system : ... -i, b-iii, c-iv, d-ii a-iv, b-iii, c-i, d-ii a-i, b-iii, c-ii, d-iv a-iv, b-i, c-iii, d-ii
answered Jul 31, 2016 in Data Mining and Warehousing Sanjay Sharma 1.5k views
3 votes
1 answer
18
UGCNET-Dec2013-III: 23
High level knowledge which relates to the use of sentences in different contexts and how the context affect the meaning of the sentences? Morphological Syntactic Semantic Pragmatic
High level knowledge which relates to the use of sentences in different contexts and how the context affect the meaning of the sentences? Morphological Syntactic Semantic Pragmatic
answered Jul 27, 2016 in Data Mining and Warehousing Sanjay Sharma 1.4k views
1 vote
2 answers
19
UGCNET-Sep2013-II: 40
The decision tree classifier is a widely used technique for Classification Association Partition Clustering
The decision tree classifier is a widely used technique for Classification Association Partition Clustering
answered Jul 21, 2016 in Data Mining and Warehousing shekhar chauhan 850 views
2 votes
1 answer
20
UGCNET-June2012-III: 6
If two fuzzy set $A$ and $B$ are given with membership functions $\mu_A(x) = \{0.2,0.4,0.8,0.5,0.1\}$ $\mu_B(x) = \{0.1,0.3,0.6,0.3,0.2\}$ Then the value of $\mu_{\overline{A \cap B} }$ will be $\{0.9,0.7,0.4,0.8,0.9\}$ $\{0.2,0.4,0.8,0.5,0.2\}$ $\{0.1,0.3,0.6,0.3,0.1\}$ $\{0.7,0.3,0.4,0.2,0.7\}$
If two fuzzy set $A$ and $B$ are given with membership functions $\mu_A(x) = \{0.2,0.4,0.8,0.5,0.1\}$ $\mu_B(x) = \{0.1,0.3,0.6,0.3,0.2\}$ Then the value of $\mu_{\overline{A \cap B} }$ will be $\{0.9,0.7,0.4,0.8,0.9\}$ $\{0.2,0.4,0.8,0.5,0.2\}$ $\{0.1,0.3,0.6,0.3,0.1\}$ $\{0.7,0.3,0.4,0.2,0.7\}$
answered Jul 6, 2016 in Data Mining and Warehousing Sanjay Sharma 3.5k views
0 votes
0 answers
21
prolog
 [closed]
asked Jun 29, 2016 in Data Mining and Warehousing Sanjay Sharma 151 views
2 votes
3 answers
23
ISRO-2013-3
Opportunistic reasoning is addressed by which of the following knowledge representation? Script Blackboard Production Rules Fuzzy Logic
Opportunistic reasoning is addressed by which of the following knowledge representation? Script Blackboard Production Rules Fuzzy Logic
answered Jun 18, 2016 in Data Mining and Warehousing naga praveen 4.5k views
1 vote
1 answer
24
Classification
Consider the two class classification task that consists of the following points: Class C1: [1 1.5] [1 -1.5] Class C2: [-2 2.5] [-2 -2.5] The decision boundary between the two classes using single perceptron is given by: (A) x1+x2+1.5=0 (B) x1+x2-1.5=0 (C) x1+1.5=0 (D) x1-1.5=0 [closed]
Consider the two class classification task that consists of the following points: Class C1: [1 1.5] [1 -1.5] Class C2: [-2 2.5] [-2 -2.5] The decision boundary between the two classes using single perceptron is given by: (A) x1+x2+1.5=0 (B) x1+x2-1.5=0 (C) x1+1.5=0 (D) x1-1.5=0
answered Feb 22, 2016 in Data Mining and Warehousing lochan thigale 1.1k views
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