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Which One Of The Following Is Not A Challenge That Motivated The Development Of Data Mining Quiz

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Information Mining MCQ

This section of interview questions and answers focuses on "Information Mining". One tin exercise these interview questions to improve their concepts needed for various interviews (campus interviews, walk-in interviews, and visitor interviews).

1) Which of the post-obit refers to the problem of finding abstracted patterns (or structures) in the unlabeled data?

  1. Supervised learning
  2. Unsupervised learning
  3. Hybrid learning
  4. Reinforcement learning

Answer: b

Explanation: Unsupervised learning is a type of auto learning algorithm that is generally used to find the subconscious structured and patterns in the given unlabeled data.

2) Which 1 of the following refers to querying the unstructured textual data?

  1. Information admission
  2. Information update
  3. Information retrieval
  4. Data manipulation

Answer: c

Explanation: Information retrieval refers to querying the unstructured textual information. We tin also understand information retrieval equally an activity (or procedure) in which the tasks of obtaining data from system recourses that are relevant to the data required from the huge source of data.

3) Which of the post-obit can exist considered as the right process of Data Mining?

  1. Infrastructure, Exploration, Assay, Interpretation, Exploitation
  2. Exploration, Infrastructure, Assay, Interpretation, Exploitation
  3. Exploration, Infrastructure, Estimation, Analysis, Exploitation
  4. Exploration, Infrastructure, Analysis, Exploitation, Interpretation

Answer: a

Explanation: The process of data mining contains many sub-processes in a specific club. The correct order in which all sub-processes of data mining executes is Infrastructure, Exploration, Assay, Estimation, and Exploitation.

iv) Which of the following is an essential process in which the intelligent methods are applied to extract data patterns?

  1. Warehousing
  2. Data Mining
  3. Text Mining
  4. Data Choice

Reply: b

Explanation: Data mining is a type of procedure in which several intelligent methods are used to extract meaningful information from the huge collection ( or set) of data.

five) What is KDD in information mining?

  1. Knowledge Discovery Database
  2. Knowledge Discovery Information
  3. Noesis Data definition
  4. Knowledge information house

Reply: a

Explanation: The term KDD or Knowledge Discovery Database is refers to a broad process of discovering the cognition in the data and emphasizes the high-level applications of specific Data Mining techniques as well.

6) The adaptive system management refers to:

  1. Science of making automobile performs the task that would crave intelligence when performed by humans.
  2. A computational procedure that takes some values as input and produces some values as the output.
  3. It uses auto learning techniques, in which programs learn from their by experience and arrange themself to new weather or situations.
  4. All of the in a higher place.

Answer: c

Explanation: Generally, adaptive system management refers to using machine learning techniques. In which the programs learn from their past experience and adjust themselves for new weather and events.

7) For what purpose, the analysis tools pre-compute the summaries of the huge amount of data?

  1. In lodge to maintain consistency
  2. For authentication
  3. For data access
  4. To obtain the queries response

Respond: d

Explanation:

Whenever a query is fired, the response of the query would exist put very before. So, for the query response, the assay tools pre-compute the summaries of the huge amount of data. To sympathize it in more than details, consider the following example:

Suppose that to become some information virtually something, you write a keyword in Google search. Google's belittling tools will then pre-compute large amounts of data to provide a quick output related to the keywords you take written.

viii) What are the functions of Data Mining?

  1. Association and correctional analysis nomenclature
  2. Prediction and characterization
  3. Cluster analysis and Evolution analysis
  4. All of the above

Answer: d

Explanation: In data mining, in that location are several functionalities used for performing the different types of tasks. The common functionalities used in data mining are cluster assay, prediction, characterization, and evolution. Nevertheless, the association and correctional assay classification are also one of the important functionalities of data mining.

9) In the post-obit given diagram, which type of clustering is used?

Data Mining MCQ
  1. Hierarchal
  2. Naive Bayes
  3. Partitional
  4. None of the above

Answer: a

Explanation: In the above-given diagram, the hierarchal type of clustering is used. The hierarchal blazon of clustering categorizes data through a variety of scales by making a cluster tree. So the right answer is A.

10) Which of the following statements is incorrect about the hierarchal clustering?

  1. The hierarchal type of clustering is also known as the HCA
  2. The choice of an appropriate metric tin can influence the shape of the cluster
  3. In full general, the splits and merges both are adamant in a greedy mode
  4. All of the above

Respond: a

Explanation: All following statements given in the above question are incorrect, then the correct respond is D.

11) Which one of the following tin can be considered every bit the final output of the hierarchal type of clustering?

  1. A tree which displays how the shut thing are to each other
  2. Assignment of each bespeak to clusters
  3. Finalize estimation of cluster centroids
  4. None of the above

Answer: a

Explanation: The hierarchal blazon of clustering can be referred to as the agglomerative approach.

12) Which one of the following statements about the Thou-ways clustering is incorrect?

  1. The goal of the k-ways clustering is to partition (n) observation into (k) clusters
  2. K-means clustering tin can be defined as the method of quantization
  3. The nearest neighbour is the same equally the K-means
  4. All of the higher up

Answer: c

Explanation: In that location is nothing to deal in between the g-means and the K- means the nearest neighbor.

13) Which of the following statements about hierarchal clustering is wrong?

  1. The hierarchal clustering can primarily be used for the aim of exploration
  2. The hierarchal clustering should not be primarily used for the aim of exploration
  3. Both A and B
  4. None of the above

Answer: a

Explanation: The hierarchical clustering technique can be used for exploration because information technology is the deterministic technique of clustering.

xiv) Which 1 of the clustering technique needs the merging approach?

  1. Partitioned
  2. Naïve Bayes
  3. Hierarchical
  4. Both A and C

Reply: c

Explanation: The hierarchal type of clustering is one of the most commonly used methods to clarify social network data. In this type of clustering method, multiple nodes are compared with each other on the basis of their similarities and several larger groups' are formed by merging the nodes or groups of nodes that take similar characteristics.

15) The self-organizing maps can also exist considered every bit the example of _________ type of learning.

  1. Supervised learning
  2. Unsupervised learning
  3. Missing information imputation
  4. Both A & C

Respond: b

Explanation: The Self Organizing Map (SOM), or the Self Organizing Feature Map is a kind of Artificial Neural Network which is trained through unsupervised learning.

sixteen) The post-obit given statement tin can exist considered every bit the examples of_________

Suppose one wants to predict the number of newborns according to the size of storks' population by performing supervised learning

  1. Structural equation modeling
  2. Clustering
  3. Regression
  4. Classification

Respond: c

Explanation: The above-given argument can be considered as an example of regression. Therefore the right answer is C.

17) In the instance predicting the number of newborns, the final number of total newborns can be considered as the _________

  1. Features
  2. Observation
  3. Aspect
  4. Effect

Answer: d

Explanation: In the example of predicting the total number of newborns, the result volition be represented every bit the upshot. Therefore, the total number of newborns will be found in the effect or addressed by the outcome.

eighteen) Which of the following statement is truthful about the classification?

  1. It is a measure out of accurateness
  2. Information technology is a subdivision of a gear up
  3. It is the job of assigning a nomenclature
  4. None of the in a higher place

Answer: b

Explanation: The term "classification" refers to the nomenclature of the given data into sure sub-classes or groups according to their similarities or on the footing of the specific given gear up of rules.

19) Which of the following statements is correct about data mining?

  1. It can be referred to every bit the process of mining knowledge from information
  2. Data mining tin can be defined equally the procedure of extracting information from a set up of the data
  3. The process of data mining besides involves several other processes like information cleaning, data transformation, and information integration
  4. All of the above

Answer: d

Explanation: The term data mining tin be defined every bit the procedure of extracting information from the massive collection of data. In other words, nosotros can as well say that data mining is the process of mining useful cognition from a huge set of data.

20) In information mining, how many categories of functions are included?

  1. five
  2. 4
  3. two
  4. 3

Answer: c

Caption: In that location are only two categories of functions included in information mining: Descriptive, Classification and Prediction. Therefore the correct answer is C.

21) Which of the following tin can be considered equally the nomenclature or mapping of a set or class with some predefined group or classes?

  1. Data set
  2. Information Characterization
  3. Data Sub Structure
  4. Data Bigotry

Answer: d

Explanation: The discrimination refers to the mapping (or classification) of a course with some predefined groups or classes. And then the correct answer is D.

22) The analysis performed to uncover the interesting statistical correlation betwixt associated -attributes value pairs are known every bit the _______.

  1. Mining of association
  2. Mining of correlation
  3. Mining of clusters
  4. All of the in a higher place

Answer: b

Explanation: Mining of correlation refers to the additional analysis performed for uncovering the interesting statistical correlation in between associated-aspect-value pairs.

23) Which one of the post-obit can exist defined as the data object which does not comply with the full general behavior (or the model of bachelor data)?

  1. Evaluation Assay
  2. Outliner Analysis
  3. Classification
  4. Prediction

Answer: b

Caption: It may exist divers every bit the object that doesn't comply with the general beliefs or with the model of available information.

24) Which one of the following statements is not correct about the data cleaning?

  1. It refers to the process of information cleaning
  2. Information technology refers to the transformation of wrong data into correct data
  3. It refers to correcting inconsistent data
  4. All of the to a higher place

Answer: d

Explanation: Information cleaning is a kind of procedure that is practical to data set to remove the noise from the information (or noisy data), inconsistent data from the given data. It also involves the process of transformation where wrong data is transformed into the correct data as well. In other words, we can too say that information cleaning is a kind of pre-process in which the given gear up of data is prepared for the data warehouse.

25) The classification of the data mining system involves:

  1. Database engineering science
  2. Data Scientific discipline
  3. Machine learning
  4. All of the above

Answer: d

Caption: Mostly, the nomenclature of a data mining organization depends on the following criteria: Database technology, automobile learning, visualization, information science, and several other disciplines.

26) In club to integrate heterogeneous databases, how many types of approaches are there in the data warehousing?

  1. 3
  2. 4
  3. 5
  4. 2

Answer: d

Caption: In general, information warehousing consist of data integration, data cleaning, and data consolidations. Therefore to integrate heterogeneous databases, there are two approaches that are update-driven approach and the query-driven approach. So the right answer is D.

27) The problems like efficiency, scalability of information mining algorithms comes under_______

  1. Performance issues
  2. Diverse data type issues
  3. Mining methodology and user interaction
  4. All of the higher up

Answer: a

Explanation: In social club to excerpt information effectively from a huge collection of information in databases, the data mining algorithm must be efficient and scalable. Therefore the right answer is A.

28) Which of the following is the correct advantage of the Update-Driven Approach?

  1. This arroyo provides high operation.
  2. The information can be copied, processed, integrated, annotated, summarized and restructured in the semantic data shop in advance.
  3. Both A and B
  4. None of the above

Answer: c

Explanation: The statements given in both A and B are the advantage of the Update-Driven Approach in Data Warehousing. So the right respond is C.

29) Which of the post-obit statements about the query tools is correct?

  1. Tools adult to query the database
  2. Attributes of a database table that can take merely numerical values
  3. Both and B
  4. None of the to a higher place

Answer: a

Caption: The query tools are used to query the database. Or nosotros can also say that these tools are generally used to go only the necessary information from the entire database.

30) Which one of the following correctly defines the term cluster?

  1. Group of similar objects that differ significantly from other objects
  2. Symbolic representation of facts or ideas from which information can potentially exist extracted
  3. Operations on a database to transform or simplify information in order to gear up it for a machine-learning algorithm
  4. All of the above

Answer: a

Explanation: The term "cluster" refers to the set of similar objects or items that differ significantly from the other available objects. In other words, we tin can empathise clusters equally making groups of objects that contain similar characteristics form all available objects. Therefore the correct answer is A.

31) Which one of the following refers to the binary attribute?

  1. This takes only 2 values. In general, these values volition be 0 and ane, and they can be coded as ane bit
  2. The natural environment of a certain species
  3. Systems that can be used without knowledge of internal operations
  4. All of the above

Answer: a

Caption: In general, the binary aspect takes only 2 types of values, that are 0 and 1and these values tin exist coded as one scrap. Then the correct answer will be A.

32) Which of the post-obit correctly refers the data selection?

  1. A subject area-oriented integrated fourth dimension-variant non-volatile drove of information in back up of management
  2. The actual discovery phase of a cognition discovery procedure
  3. The stage of selecting the right data for a KDD procedure
  4. All of the above

Reply: c

Caption: Data pick can exist defined as the stage in which the correct data is selected for the phase of a knowledge discovery procedure (or KKD procedure). Therefore the correct answer C.

33) Which ane of the following correctly refers to the job of the classification?

  1. A measure of the accurateness, of the classification of a concept that is given by a certain theory
  2. The task of assigning a nomenclature to a gear up of examples
  3. A subdivision of a set of examples into a number of classes
  4. None of the above

Answer: b

Explanation: The task of classification refers to dividing the set into subsets or in the numbers of the classes. Therefore the correct respond is C.

34) Which of the post-obit correctly defines the term "Hybrid"?

  1. Arroyo to the design of learning algorithms that is structured forth the lines of the theory of evolution.
  2. Decision support systems that comprise an data base filled with the knowledge of an expert formulated in terms of if-then rules.
  3. Combining different types of method or information
  4. None of these

Answer: c

Explanation: The term "hybrid" refers to merging two objects and forms private object that contains features of the combined objects.

35) Which of the following correctly defines the term "Discovery"?

  1. Information technology is subconscious within a database and can just exist recovered if ane is given certain clues (an example IS encrypted information).
  2. An extremely circuitous molecule that occurs in human chromosomes and that carries genetic data in the form of genes.
  3. It is a kind of procedure of executing implicit, previously unknown and potentially useful information from data
  4. None of the higher up

Respond: c

Explanation: The term "discovery" means to discover something new that has not yet been discovered. It tin can also be interpreted as a process of executing underlying, previously unknown and potentially useful information from information.

36) Euclidean altitude mensurate is can also defined as ___________

  1. The process of finding a solution for a problem simply by enumerating all possible solutions according to some predefined order and then testing them
  2. The altitude between ii points as calculated using the Pythagoras theorem
  3. A stage of the KDD procedure in which new information is added to the existing selection.
  4. All of the higher up

Respond: c

Explanation: Euclidean altitude measure can be divers as the computing distance betwixt two points in either in-airplane or three-dimensional infinite measures the length of the segments connecting two points. It can also define equally the distance between two points every bit calculated using the Pythagoras theorem.

37) Which ane of the following can exist considered every bit the right application of the data mining?

  1. Fraud detection
  2. Corporate Analysis & Risk management
  3. Management and market place analysis
  4. All of the above

Answer: d

Explanation: Data mining is highly useful in a diverseness of areas such every bit fraud detection, corporate analysis, and risk management, and market assay, etc., so the correct option is D.

38) Which 1 of the following correctly refers to the Course study in the data cauterization?

  1. Concluding class
  2. Written report class
  3. Target grade
  4. Both A and C

Answer: c

Explanation: In the information cauterization, generally, the study grade refers to the target form, and the study class is the class that is under the process of summarizing data.

39) Which of the following refers to the sequence of pattern that occurs frequently?

  1. Frequent sub-sequence
  2. Frequent sub-construction
  3. Frequent sub-items
  4. All of the to a higher place

Respond: a

Explanation: In information mining, the frequent sub-sequence refers to a certain sequence of patterns that occurs frequently, for example, ownership a camera followed by the memory card. So the correct answer will be A.

40) Which 1 of the following refers to the model regularities or to the objects that trends or non consequent with the change in fourth dimension?

  1. Prediction
  2. Evolution assay
  3. Nomenclature
  4. Both A and B

Respond: b

Caption: In general, the evolution analysis refers to the model regularities or the object trends that vary with change in fourth dimension.

41) The issues like "treatment the rational and circuitous types of data" comes under which of the post-obit category?

  1. Diverse Data Blazon
  2. Mining methodology and user interaction Issues
  3. Performance issues
  4. All of the above

Answer: a

Explanation: It is quite ofttimes that a database tin contain multiple types of data, complex objects, and temporary data, etc., so it is not possible that only 1 type of arrangement can filter all data. Therefore this type of event comes under the category Various Data type. So the correct answer is A.

42) Which of the following also used as the first pace in the knowledge discovery process?

  1. Data selection
  2. Data cleaning
  3. Information transformation
  4. Information integration

Answer: b

Explanation: Information cleaning is included as one of the first steps of the knowledge discovery process. So the correct answer is B.

43) Which of the following refers to the steps of the knowledge discovery process, in which the several data sources are combined?

  1. Data pick
  2. Data cleaning
  3. Data transformation
  4. Data integration

Reply: d

Explanation: The step "information integration" of the knowledge discovery process refers to combining several data sources. Therefore the correct answer is D.

44) Which of the following can be considered as the drawback of the query-Driven arroyo in data warehousing?

  1. This approach is expensive for queries that require aggregations
  2. This approach is expensive bereft, and very frequent queries
  3. This arroyo requires a very complex integration and filtering process
  4. All of the above

Respond: d

Explanation: All statements given in the above question are drawbacks of the query-driven approach. Therefore the correct reply is D.

45) Which of the following correctly refers to the term "Data Independence"?

  1. It means that the programs are not dependent on the logical attributes
  2. Information technology refers to that data that is defined separately, not included in the programme
  3. It means that the programs are totally dependent on the physical attributes of information
  4. Both A and C

Respond: d

Explanation: The term "Data Independence" refers that the programs are not dependent on the physical attributes of data and neither on the logical attributes of data.

46) Which of the following is mostly used past the E-R model to stand for the weak entities?

  1. Diamond
  2. Doubly outlined rectangle
  3. Dotted rectangle
  4. Both B & C

Answer: b

Explanation: Mostly, the double outline rectangle is used in the Due east-R model to represent the weak entities.

47) Which 1 of the following refers to the Blackness Box?

  1. Information technology tin can be referred as the system that can be used without the cognition of the internal operations
  2. It referrers the natural environment of the specific species
  3. It takes merely two values at nigh that are 0 and 1
  4. All of the above

Answer: a

Explanation: Blackness Box is referred to equally the system which takes simply two values at most are zero and one.

48) Which one of the post-obit issues must exist considered before investing in data mining?

  1. Compatibility
  2. Functionality
  3. Vendor consideration
  4. All of the above

Answer: d

Explanation: The common but important issues like functionality and compatibility must always be discussed before investing in data mining. Therefore the correct reply is D.

49) The term "DMQL" stands for _____

  1. Data Marts Query Language
  2. DBMiner Query Linguistic communication
  3. Data Mining Query Language
  4. None of the above

Answer: c

Caption: The term "DMQL" refers to the Data Mining Query Language. Therefore the correct answer is C.

fifty) In certain cases, it is not clear what kind of pattern need to detect, data mining should_________:

  1. Try to perform all possible tasks
  2. Perform both predictive and descriptive task
  3. It may let interaction with the user and then that he tin guide the mining procedure
  4. All of the higher up

Respond: c

Explanation: In some data mining operations where it is not clear what kind of pattern needed to find, here the user tin can guide the data mining procedure. Because a user has a skillful sense of which type of blueprint he wants to find. And then, he tin eliminate the discovery of all other non-required patterns and focus the process to find only the required blueprint by setting upward some rules. Therefore the right answer is C.

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Which One Of The Following Is Not A Challenge That Motivated The Development Of Data Mining Quiz,

Source: https://www.javatpoint.com/data-mining-mcq

Posted by: myerstimentep.blogspot.com

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