This section of interview questions and answers focuses on “Data Mining”. One can practice these interview questions to improve their concepts needed for various interviews (campus interviews, walk-in interviews, and company interviews).
You are watching: Which of the following statements about data mining is true?
1) Which of the following refers to the problem of finding abstracted patterns (or structures) in the unlabeled data?
Supervised learningUnsupervised learningHybrid learningReinforcement learningShow AnswerWorkspace
Explanation: Unsupervised learning is a type of machine learning algorithm that is generally used to find the hidden structured and patterns in the given unlabeled data.
2) Which one of the following refers to querying the unstructured textual data?
Information accessInformation updateInformation retrievalInformation manipulationShow AnswerWorkspace
Explanation: Information retrieval refers to querying the unstructured textual data. We can also understand information retrieval as an activity (or process) in which the tasks of obtaining information from system recourses that are relevant to the information required from the huge source of information.
3) Which of the following can be considered as the correct process of Data Mining?
Infrastructure, Exploration, Analysis, Interpretation, ExploitationExploration, Infrastructure, Analysis, Interpretation, ExploitationExploration, Infrastructure, Interpretation, Analysis, ExploitationExploration, Infrastructure, Analysis, Exploitation, InterpretationShow AnswerWorkspace
Explanation: The process of data mining contains many sub-processes in a specific order. The correct order in which all sub-processes of data mining executes is Infrastructure, Exploration, Analysis, Interpretation, and Exploitation.
4) Which of the following is an essential process in which the intelligent methods are applied to extract data patterns?
WarehousingData MiningText MiningData SelectionShow AnswerWorkspace
Explanation: Data mining is a type of process in which several intelligent methods are used to extract meaningful data from the huge collection ( or set) of data.
5) What is KDD in data mining?
Knowledge Discovery DatabaseKnowledge Discovery DataKnowledge Data definitionKnowledge data houseShow AnswerWorkspace
Explanation: The term KDD or Knowledge Discovery Database is refers to a broad process of discovering the knowledge in the data and emphasizes the high-level applications of specific Data Mining techniques as well.
6) The adaptive system management refers to:
Science of making machine performs the task that would require intelligence when performed by humans.A computational procedure that takes some values as input and produces some values as the output.It uses machine learning techniques, in which programs learn from their past experience and adapt themself to new conditions or situations.All of the above.Show AnswerWorkspace
Explanation: Generally, adaptive system management refers to using machine learning techniques. In which the programs learn from their past experience and adapt themselves for new conditions and events.
7) For what purpose, the analysis tools pre-compute the summaries of the huge amount of data?
In order to maintain consistencyFor authenticationFor data accessTo obtain the queries responseShow AnswerWorkspace
Whenever a query is fired, the response of the query would be put very earlier. So, for the query response, the analysis tools pre-compute the summaries of the huge amount of data. To understand it in more details, consider the following example:
Suppose that to get some information about something, you write a keyword in Google search. Google”s analytical tools will then pre-compute large amounts of data to provide a quick output related to the keywords you have written.
8) What are the functions of Data Mining?
Association and correctional analysis classificationPrediction and characterizationCluster analysis and Evolution analysisAll of the aboveShow AnswerWorkspace
Explanation: In data mining, there are several functionalities used for performing the different types of tasks. The common functionalities used in data mining are cluster analysis, prediction, characterization, and evolution. Still, the association and correctional analysis classification are also one of the important functionalities of data mining.
9) In the following given diagram, which type of clustering is used?
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