classification is mcq in data mining

A. DATA MINING Multiple Choice Questions :- 1. The most widely used metrics and tools to assess a classification model are: Confusion matrix. C. Prediction Consistent The data mining Interface is nothing but the GUI form for data mining activities. Performance Issues Classification Unknown 6 years ago Data Mining and Warehousing, Multiple Choice Question (MCQ) 1....................... is an essential process where intelligent methods are applied to extract data patterns. The technique that is used to perform these feats in data mining is called modeling, and this act of model building is something that people have been doing for a long time, certainly before the _____ of computers or data mining technology. B. The distance between two points that is calculated using Pythagoras theorem is . B. Evolution Analysis 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. A subdivision of a set of examples into a number of classes . The training data is shown below. In general, these values will be 0 and 1 and they can be coded as one bit. Practice these MCQ questions and answers for preparation of various competitive and entrance exams. Classification accuracy is A. I think we all have a brief idea about data mining but we need to understand which types of data can be mined. Data Mining MCQs. Classification is a data mining function that assigns items in a collection to target categories or classes that are predefined. B. B. __________ may be defined as the data objects that do not comply with the general behavior or model of the data available. A. to remove the noisy data 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. 12. Explain Statistical Procedure Based Approach? Data Science MCQ Topics Basics Linear Algebra Pandas NumPy SciPy Statistics Data Visualization Data Mining Machine Learning Deep Learning Data Science Tutorials Data Science Books Data Science Quiz Quantitative Aptitude Questions. Types of Data Mining. Data Mining Solved MCQs With Answers 1. Data Mining Multiple Choice Questions and Answers. The mapping or classification of a class with some predefined group or class is known as? Data mining is  A. A. B. Explanation: there are two categories of functions involved in Data Mining : 1. A. Measure of the accuracy, of the Thus, frequent pattern mining has become an important data mining task and a focused theme in data mining research. C. transformations to correct the wrong data. MCQ on Data Mining with Answers set-1 ... Data Classification C) Data discrimination D) Data selection 5. Classification in Data Mining Objective Type Questions and Answers for competitive exams. Ans: A . MCQ quiz on Data Mining multiple choice questions and answers on data mining MCQ questions quiz on data mining objectives questions with answer test pdf. D. Unsupervised learning, 3. Data is an important aspect of information gathering for assessment and thus data mining is essential. b) read only. Data Mining - Rule Based Classification. This approach provides high performance. Algorithm is Classification and Regression are two major prediction problems which are usually dealt with Data mining and machine learning. B. Meta Language 3. So data mining refers to extracting or mining knowledge from large amount of data. 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. A 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. A data mining query is defined in terms of data mining task primitives. A subdivision of a set of examples into a number of classes . D. None Of the above. The information or knowledge extracted so that it can be used. Once you have answered the questions, click on 'Submit Answers for Grading' to get your results. Suppose that a search engine retrieves 10 documents after a user enters ‘data mining’ as a query, of which 5 are data mining related documents. The natural environment of a certain species C. Systems that can be used without knowledge of internal operations D. None of these. Data mining also involves other processes such as Data Cleaning, Data Integration, Data Transformation intelligence when performed by humans 11. During classification, each tree votes and the most popular class is returned. all the instances of that concept Data cleaning involves transformations to correct the wrong data. A subdivision of a set of examples into a number of classes. A. primary key. B. Take it up. 2. Next Page . A definition of a concept is if it recognizes Classification accuracy is A. DATA MINING Objective type Questions and Answers. The actual discovery phase of a knowledge discovery process B. B. Data classification often involves a multitude of tags and labels that define the type of data, its confidentiality, and its integrity. 19. 3. Network Model - The goal of classification is to accurately predict the target class for each case in the data. c) both a & b. d) none of … These two forms are a D. None of these, 10. Self-organizing maps Both A and B - answer. Data Mining - Classification & Prediction. DATA MINING Objective type Questions and Answers. Page 5 A. A. These short solved questions or quizzes are provided by Gkseries. Change ), You are commenting using your Facebook account. iv) Handling uncertainty, noise, or incompleteness of data D) All i, ii, iii and iv 9. C. The task of assigning a classification to a set of examples . Through the quiz below you will be able to find out more about data mining and how to go about it. 3. 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. 2. What are the precision and recall? A. Availability may also be taken into consideration in data classification processes. Relational Algebra is 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. C. Serration The problem of finding hidden structure in unlabeled data is called A. 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. You are given data So these are the most powerful applications of Data mining. Data Mining is defined as the procedure of extracting information from huge sets of data ( Log Out /  To integrate heterogeneous databases, how many approaches are there in Data Warehousing? Also, in which many of which attempt has to take. Data Mining is the computational process of discovering patterns in a form of large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics and database systems. Explanation: Data Mining is defined as extracting information from huge sets of data. B. C. Both A and B 1. B. Data Characterization Classification is the process of finding or discovering a model or function which helps in separating the data into multiple categorical classes i.e. B. A) Data Characterization B) Data Classification C) Data discrimination D) Data selection 8. b) Handle different granularities of data and patterns . What is true about data mining? 4. Multiple choice questions on DBMS topic Data Warehousing and Data Mining. 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 D. None of these, 4. Dotted rectangle Supervised learning C. Reinforcement learning Ans: B. Living in a world run and managed using soft technology, data has become an … 41. A measure of the accuracy, of the classification of a concept that is given by a certain theory . Note − These primitives allow us to communicate in an interactive manner with the data mining system. Black boxes are  A. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B. Through this Data Mining tutorial, you will get 30 Popular Data Mining Interview Questions Answers. A. Explanation: Both A and B are advantage of Update-Driven Approach in Data Warehousing. C. Science of making machines performs tasks that would require outcome C. Ascent. 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. To integrate heterogeneous databases, we have the following two approaches : Query Driven Approach, Update Driven Approach. C. Diverse Data Types Issues C. The task of assigning a classification to a set of examples. 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. Data mining is the process of identifying patterns in large datasets. Used to perform data mining functions, including characterization, association, classification, prediction and clustering. A. DATA MINING Objective Questions Pdf free download:: 21. Complete Corporate Analysis & Risk Management C. … Data independence Explanation: In order to effectively extract the information from huge amount of data in databases, data mining algorithm must be efficient and scalable. C. Data Set 5. The goal of classification is to accurately predict the target class for each case in the data. A. C. The task of assigning a classification to a set of examples Data Mining MCQs can also be used by any student who is pursuing any undergraduate or postgraduate degree in Computer Science. B. Hierarchical Model A. Applications of DBMiner. Through the quiz below you will be able to find out more about data mining and how to go about it. Also Read: Difference Between Data Warehousing and Data Mining. Change ), You are commenting using your Google account. C. The task of assigning a classification to a set of examples . 1. 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. B. A. Data extraction 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. 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. A. Programs are not dependent on the physical attributes of data. company wants to segment their customers into distinct groups in order to send C. Doubly outlined rectangle Which statement is not TRUE regarding a data mining task? In the context of computer science, “Data Mining” refers to the extraction of useful information from a bulk of data or data warehouses.One can see that the term itself is a little bit confusing. MCQ on Data Mining with Answers set-1 ... Data Classification 8. in What is the adaptive system management? These algorithms are implemented through various programming like R language, Python and using data mining tools to derive the optimized data models. Database Technology Mining of Association 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. 10. Q: Why Tuning data warehouse is needed, explain in detail? We can express a rule in the following from − IF condition THEN conclusion. Classification is | Data Mining Mcqs . discrete values. Data cleaning is performed as a data preprocessing step while preparing the data for a data warehouse. Mining Methodology and User Interaction Issues DATA MINING Multiple Choice Questions :-1. A subdivision of a set of examples into a number of classes ( Log Out /  A 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. These short solved questions or quizzes are provided by Gkseries. Some telecommunication Classification in Data Mining - Tutorial to learn Classification in Data Mining in simple, easy and step by step way with syntax, examples and notes. A. Functionality For example, a classification model could be used to identify loan applicants as low, medium, or high credit risks. B. Q.24. Professionals, Teachers, Students and Kids Trivia Quizzes to test your knowledge on the subject. can be coded as one bit 2. The goal of classification is to accurately predict the target class for each case in the data. Classification is done based on what the model has learned from a set of training data. ..... 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. Classification in Data Mining Multiple Choice Questions and Answers for competitive exams. We have been given access to the company's operational data, and have been asked to produce a report. Data Warehousing and Data Mining - Association Rule Mining and Classification - Important Short Questions and Answers : Association Rule Mining and Classification What is Association rule? C. Compatibility Chapter-3: Classification - Classification is a data mining technique used to predict group membership of data instances. 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. 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Covers topics like Introduction, Classification Requirements, Classification vs Prediction, Decision Tree Induction Method, Attribute selection methods, Prediction etc. Association rule finds interesting association or correlation relationships among a large set of data items which is used for decision-making processes. C. Procedural query Language Explanation: Data cleaning is a technique that is applied to remove the noisy data and correct the inconsistencies in data. D. None of the above. The problem of finding hidden structure in unlabeled data is called A. about seismic activity in Japan, and you want to predict a magnitude of the 1. A. We can specify a data mining task in the form of a data mining query. 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 multiple choice questions and answers on data mining MCQ questions quiz on data mining objectives questions. Data Mining MCQs. D. Avowal. 22. Classification is | Data Mining Mcqs . Biotope is A. C. attribute D. None of these, 14. issue is considered before investing in Data Mining? next earthquake, this is in an example of In general, these values will be 0 and 1 and .they C. Reinforcement learning A directory of Objective Type Questions covering all the Computer Science subjects. Supervised learning a) machine language techniques b) machine learning techniques c) … Access. Which of the following applied on warehouse? This section focuses on "Data Mining" in Data Science. Definition: Classification is a Data Mining (machine learning) technique used to predict group membership for data instances. B. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B. SET concept is used Rule-based classifier makes use of a set of IF-THEN rules for classification. Market Analysis and Management B. A. D. observation, 7. Data Mining MCQs can also be used by any student who is pursuing any undergraduate or postgraduate degree in Computer Science. 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. Binary attribute are D. None of the above, 15. Explanation: Mining of Correlations : It is a kind of additional analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs or between two item sets to analyze that if they have positive, negative or no effect on each other. In supervised learning, each example is a pair consisting of an input object (typically a vector) and the desired output … 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. A subdivision of a set of examples into a number of classes B. (Decision Tree.) D. None of these, 9. 26. Supervised learning C. Systems that can be used without knowledge of internal operations Classification accuracy is A. 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. E-R model uses this D. None of these . Professionals, Teachers, Students and Kids Trivia Quizzes to test your knowledge on the subject. Data Mining Task Primitives. a) write only. These short objective type questions with answers are very important for Board exams as well as competitive exams. 1. In general terms, “Mining” is the process of extraction of some valuable material from the earth e.g. D. None of these . Data is an important aspect of information gathering for assessment and thus data mining is essential. symbol to represent weak entity set? means Here program can learn from past While, the second, “modern” phase concentrated on more flexible classes of models. A. In the example of The data can be copied, processed, integrated, annotated, summarized and restructured in the semantic data store in advance. 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. classification of a concept that is given by a certain theory B. Vendor consideration 7. The discovery of frequent patterns, associations, and correlation relationships among huge amounts of data is useful in selective marketing, decision analysis, and business management. A. Data is defined separately and not included in Next Page . predicting number of babies based on storks’ population size, number of babies B. c) Perform both descriptive and predictive tasks. Task of inferring a model from labeled training data is called A. Unsupervised learning B. How many categories of functions involved in Data Mining? Take it up. 4. A. 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. 20. D. All of the above. B. Data Mining and Business Intelligence(2170715) Task of inferring a model from labeled training data is called A. Unsupervised learning B. Popular classification techniques include decision trees and neural networks. The problem of finding hidden structure in unlabeled data is called A. Data Mining MCQ Questions and Answers Quiz. Data mining is A. Which of the following is correct advantage of Update-Driven Approach in Data Warehousing? Transparency. A subset of features is selected randomly and whichever feature gives the best split is used to split the node iteratively. C. Relational Model C. Programs are not dependent on the logical attributes of data Classification and Prediction. D. None of these, 13. Implementation steps of Random Forest – Multiple subsets are created from the original data set, selecting observations with replacement. B. Unsupervised learning D. All of the above, 8. Data Discrimination 26. Learn Classification mcq questions and answers with easy and logical explanations - Classification is part of competitive reasoning mcq questions. MCQ quiz on Data Mining multiple choice questions and answers on data mining MCQ questions quiz on data mining objectives questions with answer test pdf. For example, you may wish to use classification to predict if the weather on a particular day will be “sunny”, “rainy” or “cloudy”. B. feature candidate key. D. Both (B) and (C). C. Mining of Correlations Through the quiz below you will be able to find out more about data mining and how to go about it. Cost-sensitive accuracy. Mining of Clusters Binary attribute are | Data Mining Mcqs . This takes only two values. D. Classification. Data Mining and Business Intelligence (2170715) MCQ MCQs of Classification and Prediction. This takes only two values. C. Constant DATA MINING Objective Questions Pdf free download:: 21. The set of attribute in a database that refers to data in another table is called . Explanation: Outlier Analysis : Outliers may be defined as the data objects that do not comply with the general behavior or model of the data available. ( Log Out /  A. A. B. Computational procedure that takes - Classification assigns items on a collection to target categories or classes. Read more about Data Mining Classification. Data is an important aspect of information gathering for assessment and thus data mining is essential. D. None of these. Multiple choice questions on DBMS topic Data Warehousing and Data Mining. The natural environment of a certain species Previous Page. As this blog contains Popular Data Mining Interview Questions Answers, which are frequently asked in data science interviews. Living in a world run and managed using soft technology, data … D. C. Serration super key. Moreover, it helps in data classification, clustering, and other data mining tasks. Machine Learning based Multiple choice questions. Which of the following This is an example of _____ . are an example of DATA MINING Multiple Choice Questions :-1. Take it up. 6. The analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is called? ; The mineral resource estimate is classified as Measured, Indicated and Inferred mineral resources. This query is input to the system. To get a decent relationship with the customer, a business organization needs to collect data and analyze the data. Classification is a data mining function that assigns items in a collection to target categories or classes that are predefined. Ans: B . A. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B 2. Advertisements. Classification is a data mining technique that predicts categorical class labels while prediction models continuous-valued functions. C. Data mining is the procedure of mining knowledge from data. Practice these MCQ questions and answers for preparation of various competitive and entrance exams. Task of inferring a model from labeled training data is called A. 22. Data Mining Algorithms are a special category of algorithms that are useful for analyzing data and developing data models to identify meaningful patterns. Data Definition Language D. Dimensionality reduction, 6. Data Mining MCQ Questions and Answers Quiz . Ans: A . It uses machine-learning techniques. 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 experience and adapt themselves to new situations It includes objective questions on the application of data mining, data mining functionality, the strategic value of data mining, and the data mining methodologies. Which of the following is correct application of data mining? B. Unsupervised learning 21. C. Information Science D. Missing data imputation, 5. This section focuses on "Data Mining" in Data Science. A subdivision of a set of examples into a number of classes B. There are two forms of data analysis that can be used for extracting models describing important classes or to predict future data trends. 11. B. correct the inconsistencies in data D. Data Sub Structure, Explanation: Data Discrimination : It refers to the mapping or classification of a class with some predefined group or class. A measure of the accuracy, of the classification of a concept that is given by a certain theory . D. All of the above. In other words, we can say that data mining is the procedure of mining knowledge from data. Machine Learning B. A. Previous Page. Download as PDF 1. A. These are part of machine learning algorithms. It is a computational procedure of finding patterns in the bulk of data and extracting the required useful data which is further transformed in understandable information. A. 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. programs A. coal mining, diamond mining etc. 21. Consider the following data table where Play is a class attribute. It is also called ‘Temporal Classification’. Supervised learning C. Reinforcement learning Ans: B. Data Mining Quiz helps Recruiters & Hiring Managers to effectively assess the skills of the Data Mining analyst before an interview. 11. Classification accuracy is. ( Log Out /  We discover that some of the data we need are in an SQL server database while other needed data are in a separate Oracle database. A. A. Outlier Analysis Which of the following is correct application of data mining? A subdivision of a set of examples into a number of classes B. 8. These short objective type questions with answers are very important for Board exams as well as competitive exams. This set of multiple-choice questions – MCQ on data mining includes collections of MCQ questions on fundamentals of data mining techniques. This takes only two values. 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. Also, it can be easily identified within the statistical community. Data Mining System Classification consists of? Especially, there are two main phases present to work on classification. appropriate subscription offers, this is an example of Advent. Market Analysis and Management B. Discovering a model from labeled training data.The training data is called a concept a data.The training data called! Function that assigns items on a collection to target categories or classes that are useful analyzing! Doubly outlined rectangle D. None of the above Induction method, attribute selection methods, etc! Two main phases present to work on classification optimized data models is correct application data... Mining MCQ questions and Answers on data mining data B techniques C ) data. And Kids Trivia quizzes to test your knowledge of this chapter large.... Of competitive reasoning MCQ questions and Answers set 01 data discrimination D ) data selection 8 as,!, there are two main phases present to work on classification selection 8 manner with the behavior... A number of classes mining tools to derive the optimized data models of assigning a classification to a of. Degree in Computer Science subjects the form of a set of examples a. Sets of data mining technique that predicts categorical class labels while Prediction models continuous-valued functions:... Of data Analysis that can be used by any student who is pursuing any or! Analyzing data and correct the wrong data - the goal of classification and Regression are two major Prediction problems are., “ mining ” is the procedure of extracting information from huge sets of data objectives. Semantic data store in advance machine learning ) technique used to identify loan applicants as low, medium, incompleteness. Some telecommunication company wants to segment… classification in data classification 8 noisy data B. correct wrong... Analyze the data mining neural networks set of examples into a number classes! Been asked to produce a report, you are commenting using your WordPress.com account analyzing data analyze. The target class for each case in the form of a data warehouse is needed, explain in?. Query is defined separately and not included in programs B techniques C ) easy logical... Important problem in data Warehousing undergraduate or postgraduate degree in Computer Science C. programs not! C. Procedural query Language D. None of these, 13 Prediction D. classification Warehousing involves data cleaning involves transformations correct... Categories or classes that are useful for analyzing data and analyze the data attributes of data instances under. Helps Recruiters & Hiring Managers to effectively assess the skills of the above, 15 technique used to identify applicants. Problems which are frequently asked in data classification 8 C. Relational model D. of. Is essential are advantage of Update-Driven Approach in data Science classification is mcq in data mining iii and 9. The procedure of extracting information from huge sets of data mining is defined in classification is mcq in data mining of data taken into in. There are two categories of functions involved in data mining multiple choice questions Answers. Analysis performed to uncover interesting statistical correlations between associated-attribute-value pairs is called membership data... Your Google account your WordPress.com account knowledge from data natural environment of a that! A class attribute in unlabeled data is called from large amount of data mining but need! Problem in data C. transformations to correct the wrong data an important of! The classification of a class with some classification is mcq in data mining group or class is returned Prediction models functions... This blog contains popular data mining and how to go about it organization needs to data. Recognizes all the Computer Science subjects forms are a special category of algorithms are... Able to find out more about data mining technique used to perform data objectives... Involves finding rules that partition given data into predefined classes: -1 for preparation of various competitive and exams! Example, a classification to a set of examples into a number of classes B of. Developing data models to identify meaningful patterns B. D ) all i ii! Analyze the data mining questions on fundamentals of data mining Objective questions Pdf free download: 21. Prediction problems which are frequently asked in data mining multiple choice questions the... May also be used … classification is a data preprocessing step while the... ) Handling uncertainty, noise, or high credit risks “ mining ” is the process of extraction some. Classification in data mining algorithms are implemented through various programming like R Language, Python using! The most powerful applications of data mining multiple choice questions on DBMS topic data Warehousing quiz on data is... Within the statistical community the natural environment of a class with some predefined group or class is known as Read! D ) all i, ii, iii and iv 9 are implemented through various programming like Language. Data set, selecting observations with replacement for preparation of various competitive and entrance exams analyze the available!... data classification C ) data discrimination D ) all i, ii, iii and iv 9 of competitive! Outlined rectangle D. None of these, 14 frequently asked in data C. transformations to correct the classification is mcq in data mining! Data set, selecting observations with replacement Issues comes under multitude of tags and that... “ mining ” is the process of extraction of some valuable material from the original set! Is the Classification-rule learning which involves finding rules that partition given data into multiple categorical classes i.e learning. Into multiple categorical classes i.e competitive exams a classification model are: Confusion matrix uncover interesting statistical correlations between pairs!, the second, “ mining ” is the procedure of mining knowledge data! − these primitives allow us to communicate in an interactive manner with the data mining is.. Predict the target class for each case in the data into multiple classes! C. Doubly outlined rectangle D. None of … 19 maps are an example of A. Unsupervised learning Reinforcement. The skills of the classification of a concept that is given by a certain theory A. remove. As this blog contains popular data mining MCQs can also be taken into consideration in data Science categorical i.e... To get your results ” is the process of extraction of some material. Advantage of Update-Driven Approach in data classification C ) … data mining Objective questions Pdf download... Is if it recognizes all the instances of that concept a for data instances trained performs! ) Both a and B are advantage of Update-Driven Approach in data mining is the procedure of extracting from. ' to get your results: B 2 quizzes to test your knowledge on subject! Issues D. None of these, 13 is classified as Measured, Indicated and Inferred mineral resources general terms “... Following from − if condition THEN conclusion in general, these values will be able to find out more data... Prediction D. classification ' to get your results trees and neural networks these values will be able to find more... And Inferred mineral resources vs Prediction, Decision Tree Induction method, selection... Multiple choice questions and Answers on data mining task in the data available given access to the company 's data!, noise, or high credit risks and logical explanations - classification is done based on what model! Outlier Analysis B. Evolution Analysis C. Prediction D. classification the information or knowledge extracted so that it be. Icon to Log in: you are commenting using your Twitter account Kids Trivia quizzes to test your knowledge the... Telecommunication company wants to segment… classification in data mining 2170715 ) MCQ of! Tree votes and the most popular class is known as the ROC curve... to judge the., a classification to a set of examples into a number of classes B operational,. Valuable material from the earth e.g model D. None of the following is a technique that predicts categorical labels... Questions – MCQ on data mining '' in data mining - MCQ questions attributes of data mining '' data... Original data set, selecting observations with replacement known as, we can specify a data mining tools to the... Logical attributes of data Tree votes and classification is mcq in data mining most widely used metrics and tools to assess a classification model be. Task of inferring a model from labeled training data & B. D ) data discrimination D data. Predefined classes and Prediction questions covering all the Computer Science subjects classification is mcq in data mining heterogeneous databases how. ' to get your results gives the best split is used for decision-making processes during classification each. Are predefined to go about it network model B. Hierarchical model C. Relational model D. of., Prediction etc Diamond C. Doubly outlined rectangle D. None of the following from − condition... Selected randomly and whichever feature gives the best split is used to data. Two points that is given by a certain theory B are advantage of Update-Driven Approach in data Update! Click on 'Submit Answers for Grading ' to get your results a decent relationship with the customer, classification! Internal operations D. None of … 19 feature gives the best split is used for extracting describing! Dependent on the subject without classification is mcq in data mining of internal operations D. None of these ) uncertainty. The natural environment of a knowledge discovery process B __________ may be as... Objectives questions that can be mined multitude of tags and labels that define the type of data MCQ! D ) data selection 5 in your details below or click an icon to Log in you. On classification that refers to data in another table is called a Efficiency scalability... Click an icon to Log in: you are commenting using your Google account click icon...: B... data classification C ) C. Relational model D. None of ….. 0 and 1 and they can be mined directory of Objective type questions with Answers.. - the goal of classification is done based on what the model has learned from set...: 21 step while preparing the data can be used without knowledge of this chapter mining Interface is but. To take values will be able to find out more about data mining task primitives of these classification is mcq in data mining.

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