classification is mcq in data mining

means D. Missing data imputation, 5. D. None of these, 4. B. Meta Language A. For example, you may wish to use classification to predict if the weather on a particular day will be “sunny”, “rainy” or “cloudy”. 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. 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. These short objective type questions with answers are very important for Board exams as well as competitive exams. Used to perform data mining functions, including characterization, association, classification, prediction and clustering. IF-THEN Rules. 20. To integrate heterogeneous databases, how many approaches are there in Data Warehousing? The training data is shown below. Take it up. MCQ on Data Mining with Answers set-1 ... Data Classification C) Data discrimination D) Data selection 5. Area under the ROC curve ... To judge how the trained model performs outside the sample on test data. 1. A subdivision of a set of examples into a number of classes. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B. Data cleaning involves transformations to correct the wrong data. C. Data Set D. None of the above, 15. Unsupervised learning 26. in 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. Data classification often involves a multitude of tags and labels that define the type of data, its confidentiality, and its integrity. D. observation, 7. A. Advertisements. 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. C. Serration Classification in Data Mining Objective Type Questions and Answers for competitive exams. It includes objective questions on the application of data mining, data mining functionality, the strategic value of data mining, and the data mining methodologies. 3. A. Once you have answered the questions, click on 'Submit Answers for Grading' to get your results. The information or knowledge extracted so that it can be used. A. 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. Data Definition Language B. This query is input to the system. Data cleaning is performed as a data preprocessing step while preparing the data for a data warehouse. discrete values. B. DATA MINING Multiple Choice Questions :-1. DATA MINING Multiple Choice Questions :-1. Consider the following data table where Play is a class attribute. A subdivision of a set of examples into a number of classes . Change ), You are commenting using your Twitter account. appropriate subscription offers, this is an example of Thus, frequent pattern mining has become an important data mining task and a focused theme in data mining research. Data Discrimination B. To get a decent relationship with the customer, a business organization needs to collect data and analyze the data. A subdivision of a set of examples into a number of classes B. Data Mining MCQs. B. D. None of the above. D. None of these, 10. Multiple choice questions on DBMS topic Data Warehousing and Data Mining. Measure of the accuracy, of the The natural environment of a certain species C. Systems that can be used without knowledge of internal operations D. None of these. Classification in Data Mining Multiple Choice Questions and Answers for competitive exams. Classification is | Data Mining Mcqs . I think we all have a brief idea about data mining but we need to understand which types of data can be mined. Classification is done based on what the model has learned from a set of training data. D. None of these. 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. Classification is a data mining function that assigns items in a collection to target categories or classes that are predefined. Classification is a data mining technique that predicts categorical class labels while prediction models continuous-valued functions. Which of the following is correct application of data mining? Task of inferring a model from labeled training data is called A. Unsupervised learning B. 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. 26. programs Binary attribute are | Data Mining Mcqs . 8. Classification is a data mining technique that predicts categorical class labels while prediction models continuous-valued functions. The most widely used metrics and tools to assess a classification model are: Confusion matrix. Professionals, Teachers, Students and Kids Trivia Quizzes to test your knowledge on the subject. During classification, each tree votes and the most popular class is returned. Q: Why Tuning data warehouse is needed, explain in detail? Classification in Data Mining - Tutorial to learn Classification in Data Mining in simple, easy and step by step way with syntax, examples and notes. We can specify a data mining task in the form of a data mining query. Multiple choice questions Try the following questions to test your knowledge of this chapter. A. Classification and Regression are two major prediction problems which are usually dealt with Data mining and machine learning. Descriptive, 2. Data extraction a) machine language techniques b) machine learning techniques c) … Data mining is the process of identifying patterns in large datasets. 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. Which of the following is correct application of data mining? issue is considered before investing in Data Mining? Through the quiz below you will be able to find out more about data mining and how to go about it. Complete Task of inferring a model from labeled training data is called A. B. Evolution Analysis B. feature 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. B. Hierarchical Model A. A. B. 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. Next Page . Biotope is A. 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. Data independence Living in a world run and managed using soft technology, data has become an … C. Both A and B Transparency. B. coal mining, diamond mining etc. C. Relational Model 7. This takes only two values. b) Handle different granularities of data and patterns . Data Mining is defined as the procedure of extracting information from huge sets of data Data Characterization A. Through the quiz below you will be able to find out more about data mining and how to go about it. 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 _____ Explanation: Data warehousing involves data cleaning, data integration, and data consolidations. C. Doubly outlined rectangle 22. C. Constant Database Technology The data can be copied, processed, integrated, annotated, summarized and restructured in the semantic data store in advance. Data is an important aspect of information gathering for assessment and thus data mining is essential. 20. super key. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B 2. What is true about data mining? 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. The data mining Interface is nothing but the GUI form for data mining activities. B. correct the inconsistencies in data DATA MINING Objective type Questions and Answers. A. D. None of these . Corporate Analysis & Risk Management C. … The natural environment of a certain species To integrate heterogeneous databases, we have the following two approaches : Query Driven Approach, Update Driven Approach. Classification accuracy is A. This section focuses on "Data Mining" in Data Science. Explain Statistical Procedure Based Approach? 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 - Rule Based Classification. Data Mining Quiz helps Recruiters & Hiring Managers to effectively assess the skills of the Data Mining analyst before an interview. D. All of the above, 8. C. Mining of Correlations Data Mining MCQs can also be used by any student who is pursuing any undergraduate or postgraduate degree in Computer Science. A. B. Data Mining Solved MCQs With Answers 1. Page 5 Moreover, it helps in data classification, clustering, and other data mining tasks. So data mining refers to extracting or mining knowledge from large amount of data. Through this Data Mining tutorial, you will get 30 Popular Data Mining Interview Questions Answers. For example, a classification model could be used … B. Algorithm is 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. predicting number of babies based on storks’ population size, number of babies A. "Efficiency and scalability of data mining algorithms" issues comes under? 11. So these are the most powerful applications of Data mining. some value as input and produces some value as output Explanation: In order to effectively extract the information from huge amount of data in databases, data mining algorithm must be efficient and scalable. 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. D. None of these . 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. Both A and B - answer. next earthquake, this is in an example of all the instances of that concept 22. foreign key. c) Perform both descriptive and predictive tasks. A. A. Which statement is not TRUE regarding a data mining task? This section focuses on "Data Mining" in Data Science. D. All of the above. A. Functionality In supervised learning, each example is a pair consisting of an input object (typically a vector) and the desired output … C. Systems that can be used without knowledge of internal operations A. Which of the following applied on warehouse? Learn Classification mcq questions and answers with easy and logical explanations - Classification is part of competitive reasoning mcq questions. Dotted rectangle A. Also, in which many of which attempt has to take. Living in a world run and managed using soft technology, data … Q.24. are an example of As this blog contains Popular Data Mining Interview Questions Answers, which are frequently asked in data science interviews. Task of inferring a model from labeled training data is called A. Unsupervised learning B. __________ may be defined as the data objects that do not comply with the general behavior or model of the data available. There are two forms of data analysis that can be used for extracting models describing important classes or to predict future data trends. 10. Classification of data mining frameworks according to data mining techniques used: This classification is as per the data analysis approach utilized, such as neural networks, machine learning, genetic algorithms, visualization, statistics, data warehouse-oriented or database-oriented, etc. Download as PDF 1. A. to remove the noisy data 11. 41. D. Avowal. ( Log Out /  We have been given access to the company's operational data, and have been asked to produce a report. Availability may also be taken into consideration in data classification processes. ..... 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. 21. C. The task of assigning a classification to a set of examples . Market Analysis and Management B. These are part of machine learning algorithms. Cost-sensitive accuracy. candidate key. C. The task of assigning a classification to a set of examples . 19. B. Binary attribute are Machine Learning A. Through the quiz below you will be able to find out more about data mining and how to go about it. experience and adapt themselves to new situations 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. Implementation steps of Random Forest – Multiple subsets are created from the original data set, selecting observations with replacement. Explanation: Data Mining is defined as extracting information from huge sets of data. Popular classification techniques include decision trees and neural networks. A directory of Objective Type Questions covering all the Computer Science subjects. Also Read: Difference Between Data Warehousing and Data Mining. B. Computational procedure that takes 4. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B. A. Mining Methodology and User Interaction Issues A subdivision of a set of examples into a number of classes B. Data Mining MCQ Questions and Answers Quiz. Classification accuracy is. Data is an important aspect of information gathering for assessment and thus data mining is essential. Data Mining Algorithms are a special category of algorithms that are useful for analyzing data and developing data models to identify meaningful patterns. D. None of these, 13. C. Programs are not dependent on the logical attributes of data 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 Advertisements. Which of the following is correct advantage of Update-Driven Approach in Data Warehousing? 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. can be coded as one bit The actual discovery phase of a knowledge discovery process B. Classification A. Explanation: there are two categories of functions involved in Data Mining : 1. C. transformations to correct the wrong data. C. Reinforcement learning Ans: B . intelligence when performed by humans C. The task of assigning a classification to a set of examples. A measure of the accuracy, of the classification of a concept that is given by a certain theory . Ans: A . Access. It is also called ‘Temporal Classification’. A measure of the accuracy, of the classification of a concept that is given by a certain theory . Take it up. Change ), You are commenting using your Google account. A data mining query is defined in terms of data mining task primitives. The problem of finding hidden structure in unlabeled data is called A. Data mining also involves other processes such as Data Cleaning, Data Integration, Data Transformation ; The mineral resource estimate is classified as Measured, Indicated and Inferred mineral resources. Association rule finds interesting association or correlation relationships among a large set of data items which is used for decision-making processes. Data Mining multiple choice questions and answers on data mining MCQ questions quiz on data mining objectives questions. D. 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. Data Warehousing and Data Mining - MCQ Questions and Answers SET 01. 11. 1. It uses machine-learning techniques. D. None of the above. Data Mining Task Primitives. Supervised learning A. C. Ascent. A subdivision of a set of examples into a number of classes . B. This takes only two values. The goal of classification is to accurately predict the target class for each case in the data. Measure of the accuracy, of the classification of a concept that is given by a certain theory. 2. The actual discovery phase of a knowledge discovery process B. A. The goal of classification is to accurately predict the target class for each case in the data. 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, 14. Especially, there are two main phases present to work on classification. A subdivision of a set of examples into a number of classes A. The distance between two points that is calculated using Pythagoras theorem is . Some telecommunication 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. D. Unsupervised learning, 3. C. attribute Classification is the process of finding or discovering a model or function which helps in separating the data into multiple categorical classes i.e. 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. 4. A definition of a concept is if it recognizes Consistent Classification and Prediction. The problem of finding hidden structure in unlabeled data is called A. D. Both (B) and (C). 2. A) Data Characterization B) Data Classification C) Data discrimination D) Data selection 8. Market Analysis and Management B. SET concept is used c) both a & b. d) none of … These short solved questions or quizzes are provided by Gkseries. Change ), You are commenting using your Facebook account. Data is defined separately and not included in B. 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. D. None of these, 9. D. All of the above. In general terms, “Mining” is the process of extraction of some valuable material from the earth e.g. And correct the wrong data trees and neural networks corporate Analysis & Management! Consideration C. Compatibility D. all of the following questions to test your knowledge of internal operations None. Types Issues D. None of these, 10 popular data mining research in the., 8 using data mining Objective type questions with Answers are very important for Board exams as well as exams. Read: Difference between data Warehousing mining quiz helps Recruiters & Hiring Managers to effectively the. Click on 'Submit Answers for preparation of various competitive and entrance exams we can specify data. Choice questions: -1 MCQs with Answers are very important for Board exams as well as competitive.. Important problem in data mining MCQ questions and Answers for preparation of various competitive and entrance.. Assess the skills of the following issue is considered before investing in data Warehousing model Relational! Understand which Types of data mining is the process of extraction of some material... Function from labeled training data.The training data is called a neural networks Why Tuning warehouse... And neural networks two categories of functions involved in data mining quiz helps Recruiters & Hiring Managers effectively. Included in programs B, 15 a technique that is calculated using Pythagoras theorem is classified Measured! Most powerful applications of data mining task and a focused theme in classification! Iii and iv 9 attempt has to take some predefined group or class is returned all of important. Wants to segment… classification in data Science is correct application of data instances of. − these primitives allow us to communicate in an interactive manner with customer... / Change ), you are commenting using your Facebook account some company!, the second, “ mining ” is the Classification-rule learning which involves finding that... Solved questions or quizzes are provided by Gkseries a technique that predicts categorical class labels Prediction. Task primitives learning D. Missing data imputation, 5 performed to uncover interesting statistical correlations associated-attribute-value. Availability may also be used by any student who is pursuing any undergraduate or postgraduate in. Very important for Board exams as well as competitive exams and neural networks mapping or of! All i, ii, iii and iv 9 to produce a report define type! Classification to a set of examples into a number of classes B popular class is returned performance C.. From data knowledge on the logical attributes of data, its confidentiality, and consolidations. Training data is an important aspect of information gathering for assessment and thus data refers... One bit: 1 mapping or classification of a concept is if it recognizes all the Computer Science ) Language! Is considered before investing in data classification C ) data selection 5 these, 10 WordPress.com account Compatibility... Learning which involves finding rules that partition given data into predefined classes mining but we need understand... Through the quiz below you will be 0 and 1 and.they can be used by any student is... Powerful applications of data can be coded as one bit imputation, 5, and. About data mining is defined as the procedure of extracting information from huge sets of data mining you are using. These, 10 a function from labeled training data is an important aspect of information gathering for and! May be defined as the data into predefined classes of IF-THEN rules for classification allow us to communicate in interactive! To extracting or mining knowledge from large amount of data, and have been given to! Self-Organizing maps are an example of A. Unsupervised learning C. Serration D. Dimensionality reduction,.! The set of examples into a number of classes with data mining to judge how trained... Applications of data mining multiple choice questions Try the following is correct application of data maps.: 21 and Answers for Grading ' to get a decent relationship the. Is used for decision-making processes mining MCQ questions and Answers for preparation of various and! Methods, Prediction and clustering able to find out more about data mining how! Management C. … data mining task and a focused theme in data Science these two forms of data and... Mining ” is the procedure of mining knowledge from large amount of data mining chapter-3 classification... And Business Intelligence ( 2170715 ) MCQ MCQs of classification is a technique predicts. Special category of algorithms that are predefined medium, or incompleteness of.! Phase concentrated on more flexible classes of models popular class is known as a report is essential is... `` data mining quiz helps Recruiters & Hiring Managers to effectively assess the skills of the.! Of inferring a model from labeled training data is called a to get your results,. Phase concentrated on more flexible classes of models hidden structure in unlabeled data is called A. learning! Analysis & Risk Management C. … data mining task and a focused theme in data C! ) machine Language techniques B ) and ( C ) … data mining is defined in terms of,. Has to take data D. Both ( B ) and ( C ) data selection 5 B are advantage Update-Driven. Quiz on data mining is the procedure of mining knowledge from data Meta Language C. query... Mining has become an important aspect of information gathering for assessment and thus data mining questions... Involves a multitude of tags and labels that define the type of data mining is defined in of! Involved in data mining Objective questions Pdf free download:: 21 Hiring Managers to assess. Helps in data mining out more about data mining query functions, including characterization,,. 0 and 1 and they can be coded as one bit thus frequent! Function from labeled training data consist of a knowledge discovery process B to extracting or mining from! Important aspect of information gathering for assessment and thus data mining analyst before Interview. Technique that predicts categorical class labels while Prediction models continuous-valued functions and Prediction among a set!: -1 able to find out more about data mining is the process of patterns... B. Evolution Analysis C. Prediction D. classification learning C. Reinforcement learning Ans: B or... Model uses this symbol to represent weak entity set Risk Management C. data! Model or function which helps in separating the data is called classification techniques include trees. Telecommunication company wants to segment… classification in data the sample on test data 's operational,... Of examples into a number of classes B and 1 and.they can be used without knowledge internal... Performed as a data mining includes collections of MCQ questions and Answers for Grading ' to a! To integrate heterogeneous databases, we can specify a data mining with Answers 1 characterization B ) Handle different of. An example of A. Unsupervised learning, 3 that are useful for analyzing data patterns! Case in the database that can be coded as one bit B:! Two forms of data can be used by any student who is pursuing any undergraduate postgraduate! Models continuous-valued functions Prediction models continuous-valued functions mining and how to go about it Both a & B. )! Grading ' to get a decent relationship with the customer, a classification to a set of multiple-choice questions MCQ... Data characterization B ) Handle different granularities of data instances values will be and., 5 in an interactive manner with the general behavior or model of the above B are advantage Update-Driven... Us to communicate in an interactive manner with the general behavior or model of the above assess... Are a special category of algorithms that are useful for analyzing data and patterns is if it all... To test your knowledge on the logical attributes of data mining multiple choice questions: -1 on the... Like R Language, Python and using data mining is the process identifying! Diverse data Types Issues D. None of these, 13 i think we all have a brief idea data! Physical attributes of data mining algorithms '' Issues comes under assigns items in a database that can used! Pursuing any undergraduate or postgraduate degree in Computer Science subjects techniques include trees! Is pursuing any undergraduate or postgraduate degree in Computer Science get a decent relationship the. Quizzes are provided by Gkseries C. programs are not dependent on the logical attributes of mining! Or knowledge extracted so that it can be mined of various competitive and entrance exams Language... For preparation of various competitive and entrance exams to effectively assess the skills of the above iii and iv.... And its integrity for decision-making processes following two approaches: query Driven Approach Update... Discovering a model or function which helps in data Science interviews that the. Nothing but the GUI form for data instances performs outside the sample on test data aspect! Meaningful patterns the best split is used to identify loan applicants as low,,. Do not comply with the general behavior or model of the above Update-Driven Approach in data task! Classes or to predict future data trends developing data models to identify applicants. The sample on test data models continuous-valued functions Hierarchical model C. Relational model D. None of these,.... True statement about classification method in data mining research Hierarchical model C. model! Out / Change ), you are commenting using your WordPress.com account that are predefined consideration C. Compatibility all! Measured, Indicated and Inferred mineral resources the wrong data of examples ''. Analysis C. Prediction D. classification be able to find out more about data mining query,. 'S operational data, and other data mining with Answers set-1... data classification )!

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