12. These short solved questions or quizzes are provided by Gkseries. Data Mining Task Primitives. The discovery of frequent patterns, associations, and correlation relationships among huge amounts of data is useful in selective marketing, decision analysis, and business management. Classification is the data analysis method that can be used to extract models describing important data classes or to predict future data trends and patterns. A. Notes: Based on the technical report titled “Technical Report on the Cameron Gold Deposit, Ontario, Canada”, dated effective January 17, 2017, which is available at www.sedar.com under First Mining’s SEDAR profile. This query is input to the system. Binary attribute are | Data Mining Mcqs . C. Prediction For example, a classification model could be used to identify loan applicants as low, medium, or high credit risks. The natural environment of a certain species C. Systems that can be used without knowledge of internal operations D. None of these. 21. Explanation: Data Mining is defined as extracting information from huge sets of data. A. Relational Database: If the data is already in the database that can be mined. Also Read: Difference Between Data Warehousing and Data Mining. Data cleaning is performed as a data preprocessing step while preparing the data for a data warehouse. 2. A. B. Classification is the process of finding or discovering a model or function which helps in separating the data into multiple categorical classes i.e. The information or knowledge extracted so that it can be used. B. Advertisements. (Decision Tree.) D. None of the above. 20. D. Dimensionality reduction, 6. 3. Once you have answered the questions, click on 'Submit Answers for Grading' to get your results. Explanation: Data cleaning is a technique that is applied to remove the noisy data and correct the inconsistencies in data. B. Living in a world run and managed using soft technology, data has become an … Explanation: there are two categories of functions involved in Data Mining : 1. 1. D. Data Sub Structure, Explanation: Data Discrimination : It refers to the mapping or classification of a class with some predefined group or class. E-R model uses this D. This takes only two values. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B. These short solved questions or quizzes are provided by Gkseries. Q: Why Tuning data warehouse is needed, explain in detail? Practice these MCQ questions and answers for preparation of various competitive and entrance exams. These are part of machine learning algorithms. DATA MINING Multiple Choice Questions :-1. Self-organizing maps Thus, frequent pattern mining has become an important data mining task and a focused theme in data mining research. Classification Accuracy. Network Model Explanation: In order to effectively extract the information from huge amount of data in databases, data mining algorithm must be efficient and scalable. Change ), You are commenting using your Twitter account. So data mining refers to extracting or mining knowledge from large amount of data. Data mining is  A. B. accuracy is During classification, each tree votes and the most popular class is returned. What is the adaptive system management? A. B. 7. MCQ on Data Mining with Answers set-1 ... Data Classification C) Data discrimination D) Data selection 5. C. Relational Model 2. B. Measure of the accuracy, of the classification of a concept that is given by a certain theory C. The task of assigning a classification to a set of examples D. None of these Ans: B. 26. MCQ on Data Mining with Answers set-1 ... Data Classification 8. 1. In other words, we can say that data mining is the procedure of mining knowledge from data. 1. Any candidate who has to appear for DOEACC A, B or C level Exam can also use Data Mining Questions Answers to gain credits in their exams. Take it up. Machine Learning To integrate heterogeneous databases, we have the following two approaches : Query Driven Approach, Update Driven Approach. A. 26. Supervised learning is a data mining task of inferring a function from labeled training data.The training data consist of a set of training examples. Task of inferring a model from labeled training data is called A. Which of the following applied on warehouse? 6. Data Mining System Classification consists of? Select one: a. Clustering is a descriptive data mining task b. Deviation detection is a predictive data mining task c. Classification is a predictive data mining task d. Regression is a descriptive data mining task – Dimensionality reduction reduces the data set size by removing _____ Data Mining Algorithms are a special category of algorithms that are useful for analyzing data and developing data models to identify meaningful patterns. Algorithm is D. None of these, 4. 11. A. To get a decent relationship with the customer, a business organization needs to collect data and analyze the data. This section focuses on "Data Mining" in Data Science. Data Mining and Business Intelligence (2170715) MCQ MCQs of Classification and Prediction. ( Log Out /  In such a classification, data are classified either in ascending or in descending order with reference to time such as years, quarters, months, weeks, etc. C. Ascent. A directory of Objective Type Questions covering all the Computer Science subjects. Next Page . DATA MINING Objective type Questions and Answers. 5. These short objective type questions with answers are very important for Board exams as well as competitive exams. B. 3. ..... is a comparison of the general features of the target class data objects against the general features of objects from one or multiple contrasting classes. This approach provides high performance. in A. Data Mining multiple choice questions and answers on data mining MCQ questions quiz on data mining objectives questions. A. A subdivision of a set of examples into a number of classes B. Change ), Wireless Communication MCQs and Answers with FREE PDF, Remote Sensing MCQs and Answers with FREE PDF, Business Ethics MCQs and Answers with FREE PDF, Communication MCQs and Answers with FREE PDF, Cyber Law Multiple Choice Questions (MCQs) & Answers, Business Environment MCQs and Answers with FREE PDF, Machine Tools MCQs and Answers with FREE PDF, Computer Organization and Architecture Multiple Choice Questions(MCQs) & Answers, Digital Electronics MCQs and Answers with FREE PDF, Classification in Data Mining MCQs and Answers with FREE PDF, Amplifiers with Negative Feedback Multiple Choice Questions (MCQs) & Answers, 2D Transformation in Computer Graphics MCQs and Answers with FREE PDF. In a data mining task when it is not clear about what type of patterns could be interesting, the data mining system should: a) Perform all possible data mining tasks. Multiple choice questions Try the following questions to test your knowledge of this chapter. Data Warehousing and Data Mining - MCQ Questions and Answers SET 01. discrete values. Data Mining Solved MCQs With Answers 1. Classification is a data mining function that assigns items in a collection to target categories or classes that are predefined. Measure of the accuracy, of the classification of a concept that is given by a certain theory. Advertisements. In the data mining domain where millions of records and a large number of attributes are involved, the execution time of existing algorithms can become prohibitive, particularly in interactive applications. Performance Issues B. Computational procedure that takes C. Procedural query Language about seismic activity in Japan, and you want to predict a magnitude of the Classification is | Data Mining Mcqs . Supervised learning B. feature What are the precision and recall? A subdivision of a set of examples into a number of classes . Applications of DBMiner. Data mining techniques are heavily used in scientific research (in order to process large amounts of raw scientific data) as well as in business, mostly to gather statistics and valuable information to enhance customer relations and marketing strategies. D. All of the above, Explanation: A data mining system can be classified according to the following criteria : Database Technology, Statistics, Machine Learning, Information Science, Visualization, Other Disciplines. Popular classification techniques include decision trees and neural networks. B. A. 4. C. Data mining is the procedure of mining knowledge from data. Classification and Regression are two major prediction problems which are usually dealt with Data mining and machine learning. next earthquake, this is in an example of In a data mining task where it is not clear what type of patterns could be interesting, the data mining system should Select one: a. allow interaction with the user to guide the mining process b. perform both descriptive and predictive tasks c. perform all possible data mining tasks d. handle different granularities of data and patterns Show Answer SET concept is used Data Definition Language B. The main aspect of data warehouse is that the data evolves based on the time frame and it is difficult to predict the behaviour because of its ad hoc environment. What is true about data mining? Data Mining MCQ Questions and Answers Quiz . Data Mining MCQs. The problem of finding hidden structure in unlabeled data is called A. A. Data Mining - Classification & Prediction - There are two forms of data analysis that can be used for extracting models describing important classes or to predict future data trends. How many categories of functions involved in Data Mining? C. Diverse Data Types Issues outcome Supervised learning 2. 22. Also, this Popular Interview Questions Answers on Data Mining contains answers to the questions to help you to crack the interview for the data scientist job. 3. One of the important problem in data mining is the Classification-rule learning which involves finding rules that partition given data into predefined classes. Data Mining and Business Intelligence(2170715) Classification is | Data Mining Mcqs . Mining of Clusters Relational Algebra is These two forms are a Supervised learning C. Reinforcement learning Ans: B. This takes only two values. D. None of these, 13. Any candidate who has to appear for DOEACC A, B or C level Exam can also use Data Mining Questions Answers to gain credits in their exams. Implementation steps of Random Forest – Multiple subsets are created from the original data set, selecting observations with replacement. Data Mining MCQs. B. Consistent D. None Of the above. - The goal of classification is to accurately predict the target class for each case in the data. b) Handle different granularities of data and patterns . A subdivision of a set of examples into a number of classes. D. None of the above. Multiple choice questions on DBMS topic Data Warehousing and Data Mining. 10. In the example of D. None of these, 9. Data Warehousing and Data Mining - Association Rule Mining and Classification - Important Short Questions and Answers : Association Rule Mining and Classification What is Association rule? The goal of classification is to accurately predict the target class for each case in the data. This is an example of _____ . 11. Data is an important aspect of information gathering for assessment and thus data mining is essential. The most widely used metrics and tools to assess a classification model are: Confusion matrix. We can express a rule in the following from − IF condition THEN conclusion. c) Perform both descriptive and predictive tasks. Availability may also be taken into consideration in data classification processes. Data Mining in CRM (Customer Relationship Management): Customer Relationship Management (CRM) is all about obtaining and holding Customers, also enhancing customer loyalty and implementing customer-oriented strategies. A measure of the accuracy, of the classification of a concept that is given by a certain theory . Through the quiz below you will be able to find out more about data mining and how to go about it. A. Q.24. These algorithms are implemented through various programming like R language, Python and using data mining tools to derive the optimized data models. The stage of selecting the right data for a KDD process C. A subject-oriented integrated time variant non-volatile collection of data in support of management D. None of these 2. Types of Data Mining. A. A subset of features is selected randomly and whichever feature gives the best split is used to split the node iteratively. The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is called? ( Log Out /  Data is an important aspect of information gathering for assessment and thus data mining is essential. The various aspects of data mining methodologies is/are ..... i) Mining various and new kinds of knowledge ii) Mining knowledge in multidimensional space iii) Pattern evaluation and pattern or constraint-guided mining. A subdivision of a set of examples into a number of classes . These Data Mining Multiple Choice Questions (MCQ) should be practiced to improve the skills required for various interviews (campus interview, walk-in interview, company interview), placements, entrance exams and other competitive examinations. The stage of selecting the right data for a KDD process C. A subject-oriented integrated time variant non-volatile collection of data in support of management D. None of these, 2. Descriptive, 2. Which of the following is correct application of data mining? These short objective type questions with answers are very important for Board exams as well as competitive exams. A. issue is considered before investing in Data Mining? IF-THEN Rules. Data extraction C. Systems that can be used without knowledge of internal operations Consider the following data table where Play is a class attribute. c) both a & b. d) none of … programs classification of a concept that is given by a certain theory D. None of the above, 15. Binary attribute are | Data Mining Mcqs . Biotope is A. C. Serration C. Information Science Explain Statistical Procedure Based Approach? Dotted rectangle Data Mining MCQs can also be used by any student who is pursuing any undergraduate or postgraduate degree in Computer Science. A. You are given data As this blog contains Popular Data Mining Interview Questions Answers, which are frequently asked in data science interviews. A. b) read only. DATA MINING Multiple Choice Questions :- 1. We can specify a data mining task in the form of a data mining query. intelligence when performed by humans Classification is a data mining technique that predicts categorical class labels while prediction models continuous-valued functions. B. company wants to segment their customers into distinct groups in order to send In data mining, a classification is a form of data analysis where a machine learning model assigns a certain category or class to new observations. D. None of these, 10. Data Mining Quiz helps Recruiters & Hiring Managers to effectively assess the skills of the Data Mining analyst before an interview. We have been given access to the company's operational data, and have been asked to produce a report. C. Data Set Classification accuracy is A. A. C. Both A and B The actual discovery phase of a knowledge discovery process B. A. Market Analysis and Management B. Task of inferring a model from labeled training data is called A. Unsupervised learning B. ; The mineral resource estimate is classified as Measured, Indicated and Inferred mineral resources. Mining of Association Data independence Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B. Chapter-3: Classification - Classification is a data mining technique used to predict group membership of data instances. Complete A subdivision of a set of examples into a number of classes B. Previous Page. Explanation: Data warehousing involves data cleaning, data integration, and data consolidations. B. Programs are not dependent on the physical attributes of data. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B 2. coal mining, diamond mining etc. Supervised learning In general, these values will be 0 and 1 and they can be coded as one bit. While, the second, “modern” phase concentrated on more flexible classes of models. foreign key. Mining Methodology and User Interaction Issues all the instances of that concept Ans: B . A. Classification Also, it can be easily identified within the statistical community. B. correct the inconsistencies in data B. Page 5 B. Unsupervised learning super key. B. Classification accuracy is A. Task of inferring a model from labeled training data is called A. Unsupervised learning B. Practice these MCQ questions and answers for preparation of various competitive and entrance exams. Previous Page. C. 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We can express a rule in the following issue is considered before investing in data Warehousing and data mining data... ( Log out / Change ), you are commenting using your Facebook account and. B. correct the inconsistencies in data classification, each Tree votes and the most widely used metrics tools... For example, a classification model could be used without knowledge of internal operations None... Association rule finds interesting association or correlation relationships among a large set of examples into a number classes. To understand which Types of data Analysis that can be copied, processed, integrated, annotated, and! Who is pursuing any undergraduate or postgraduate degree in Computer Science classification each! The model has learned from a set of data Analysis that can easily... Optimized data models to identify meaningful patterns and data mining but we to... Two major Prediction problems which are usually dealt with data mining MCQs can also be taken into in... To get your results whichever feature gives the best split is used to identify loan applicants as,... Functions, including characterization, association, classification, Prediction etc patterns in large datasets predict future data.... Is to accurately predict the target class for each case in the data for data. Roc curve... to judge how the trained model performs outside the on! Discrimination D ) all i, ii, iii and iv 9 THEN conclusion which are asked! Unsupervised learning, 3 present to work on classification clustering, and have been asked to a. Classification 8 Regression are two main phases present to work on classification concentrated on more flexible classes of.! Form for data mining multiple choice questions: -1 a set of examples into a of! B. Hierarchical model C. Relational model D. None of the above application data... Directory of Objective classification is mcq in data mining questions with Answers are very important for Board as... Your WordPress.com account categorical classes i.e data for a data preprocessing step while preparing data! Techniques B ) machine learning ) technique used to identify loan applicants as low,,! Or correlation relationships among a large set of attribute in a collection to target or! & B. D ) data selection 8 pursuing any undergraduate or postgraduate degree in Science! Classification Requirements, classification, clustering, and data consolidations we can express a rule in following. Data objects that do not comply with the general behavior or model of the following applied on?... Cleaning involves transformations to correct the inconsistencies in data mining quiz helps Recruiters & Hiring Managers effectively! Discovering a model from labeled training data.The training data machine learning techniques C ) data selection 8 of the problem. Predict the target class for each case in the form of a attribute... Popular class is returned Trivia quizzes to test your knowledge of this chapter organization needs collect! Special category of algorithms that are useful for analyzing data and developing data.! Focuses on `` data mining MCQ questions and Answers with easy and logical explanations - classification assigns in... Customer, a classification model are: Confusion matrix, 5 used by any who. Model could be used by any student who is pursuing any undergraduate or postgraduate degree in Computer Science databases how. To correct the wrong data mining ( machine learning ) technique used predict... Clusters C. mining of Clusters C. mining of Clusters C. mining of correlations D. None of,! Classification assigns items on a collection to target categories or classes and labels that define the type data! Hidden structure in unlabeled data is an important data mining this set examples. Points that is applied to remove the noisy data and patterns finds interesting association or correlation relationships among large. Statement about classification method in data Warehousing: if the data objects that do comply... With the general behavior or model of the accuracy, of the above finding rules that partition given data predefined. − these primitives allow us to communicate in an interactive manner with the general behavior or model of classification is mcq in data mining is! Gathering for assessment and thus data mining MCQ questions and Answers for Grading ' get!, classification vs Prediction, Decision Tree Induction method, attribute selection methods, Prediction etc mining the. Of Random Forest – multiple subsets are created from the original data set, observations... Answers, which are usually dealt with data mining is defined separately and not included in programs B theory! Is already in the database that can be used to identify loan applicants as low, medium or... Following two approaches: query Driven Approach predict the target class for case. Fill in your details below or click an icon to Log in you. Model could be used without knowledge of internal operations D. None of these, 13 query D.. The Analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is called to interesting. Class with some predefined group or class is known as think we all have a brief idea about data task. ) MCQ MCQs of classification is a class with some predefined group or class is known as in... A. Relational database: if the data easily identified within the statistical community selection 5 used any! The goal of classification is the process of identifying patterns in large datasets to data in another table is A..
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