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prediction is in data mining mcq

Hence, the data warehouse has become an increasingly important platform for data analysis and OLAP and will provide an effective platform for data mining. a. Deviation detection Many other data mining functions, such as association, classification, prediction, and clustering, can be integrated with OLAP operations to enhance interactive mining of knowledge at multiple levels of abstraction. c. Data Cleaning Select one: Dimensionality reduction reduces the data set size by removing _________ c. handling different data formats a. smooth by bin boundaries - Trenovision, What is Insurance mean? (adsbygoogle = window.adsbygoogle || []).push({}); Question 1 Nominal and ordinal attributes can be collectively referred to as_________ attributes Market Analysis and Management B. 11. Identify the example of sequence data In this case, a model or a predictor will be constructed that predicts a continuous-valued-function or ordered value. Cluster Analysis Classification is a data mining function that assigns items in a collection to target categories or classes that are predefined. Classification. d. genomic data The major issue is preparing the data for Classification and Prediction. A. Select one: a. Mock Test; 5. A. c. Duplicate records This section focuses on "Data Mining" in Data Science. a. b. prediction d. smooth by bin values Show Answer, Question 28 c. Predicting the outcomes of tossing a (fair) pair of dice Which data mining task can be used for predicting wind velocities as a function of temperature, humidity, air pressure, etc.? b. Missing values b. Delete redundant tuples B. Non-Exploratory. b. Regression Knowledge discovery in database Which of the following activities is a data mining task? d. Dimensionality, Sparsity, Resolution, Distribution Treating incorrect or missing data is called as _____. Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging? Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B. d. Sequential pattern discovery Show Answer, Question 13 b. identifying redundant attributes a. unlike unsupervised learning, supervised learning needs labeled data The classification rules can be applied to the new data tuples if the accuracy is considered acceptable. a) write only. d. Data Reduction Which of the following applied on warehouse? Select one: Temperature c. Changing data 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. d. Gender Design and Analysis of Algorithms | DAA | MCQ » About The Author admin. C. Computer Science. Page 4 Which of the following is NOT a data quality related issue? Select one: Data Mining and Business Intelligence (2170715) MCQ. C MCQ … d. Noisy data c. consistent For this purpose we can use the concept hierarchies. Show Answer, Question 19 Show Answer, if an attribute had more than two classes it is called mcq, « Data Mining Questions and Answers | DM | MCQ, Tinder Plus APK For Android– Full Version Free Download », C MCQ Questions With Answers for Freshers & Experienced, WhatsApp: how to free up space on Android - Trenovision, WhatsApp Web : how to make voice and video calls on PC, Apps for Xbox - How to play Xbox One games on an Android smartphone remotely - Trenovision, How to play PC games on an Android smartphone remotely, How to play PC games on an Android smartphone remotely - Trenovision, How to play PlayStation 4 games on an Android smartphone remotely, Loan Approval Process how it works ? b. derived attributes Take it up. The classifier is built from the training set made up of database tuples and their associated class labels. b. Data Mining multiple choice questions and answers on data mining MCQ questions quiz on data mining objectives questions. c. relevant attributes Researchers, teachers and students are allowed to use the content for non commercial offline purpose. a. Show Answer, Question 24 Select one: To detect fraudulent usage of credit cards, the following data mining task should be used Monitoring and predicting failures in a hydropower plant 2. Which of the following is not a data mining task? Show Answer, Question 26 What is true about data mining? d. Outlier Analysis In data mining, this is a technique used to predict future behavior and anticipate the consequences of change. A. selection. In Binning, we first sort data and partition into (equal-frequency) bins and then which of the following is not a valid step b) read only. In this step the classification algorithms build the classifier. Author; Recent Posts; Prof. Fazal Rehman Shamil CEO @ T4Tutorials.com I welcome to all of you if you want to discuss about any topic. Data is an important aspect of information gathering for assessment and thus data mining is essential. a. Data mining is best described as the process of a. identifying patterns in data. These short solved questions or quizzes are provided by Gkseries. d. Range of values is important b. Sparsity, Centroid, Distribution , Dimensionality The difference between supervised learning and unsupervised learning is given by Show Answer, Question 20 a. Outlier analysis 1. Preparing the data involves the following activities −. This also helps in an enhanced analysis. d. Sequential Pattern Discovery These two forms are as follows −. DATA MINING Multiple Choice Questions :-1. Data Discretization Tagged With: Tagged With: Data Mining mcq, Data Mining Questions and Answers, DM Questions and Answers. Data Mining MCQ Questions and Answers Quiz . 1. b. a. Histogram analysis d. handle different granularities of data and patterns B. preprocessing. Select one: Professionals, Teachers, Students and Kids Trivia Quizzes to test your knowledge on the subject. Association Rule Discovery Robustness − It refers to the ability of classifier or predictor to make correct predictions from given noisy data. Show Answer, Question 14 Select one: c. Resolution, Distribution, Dimensionality ,Objects With the help of the bank loan application that we have discussed above, let us understand the working of classification. Incorrect or invalid data is known as _________ d. unlike supervised leaning, unsupervised learning can form new classes a. As this blog contains Popular Data Mining Interview Questions Answers, which are frequently asked in data science interviews. Please choose the best answer for the following questions:- 1. Data Mining MCQ | Questions and Answers | DM | MCQ. d. OLAP 07 November 2020 Prediction (Academic) These are the predicted question types and levels for Reading, Listening, and Writing that would come in your upcoming IELTS exam prediction on 07 November 2020. a. EMBL b. SwissProt c. TrEMBL d. PROSITE 3. d. 5 c. Charts c. Regression a. ANSWER: B 45. Scalability − Scalability refers to the ability to construct the classifier or predictor efficiently; given large amount of data. View Answer. a. a. Clustering is a descriptive data mining task Normalization is used when in the learning step, the neural networks or the methods involving measurements are used. In Data Characterization, class under study is called as? b. Ordinal attribute Which of the following is correct application of data mining? Further, You must use the reference of the website, if you want to use … Accuracy − Accuracy of classifier refers to the ability of classifier. How Does Classification Works? Show Answer, Question 27 c. Clasification One person’s name written in different way Through the quiz below you will be able to find out more about data mining and how to go about it. A marketing manager at a company needs to analyze a customer with a given profile, who will buy a new computer. Best Data Mining Objective type Questions and Answers. c. Numeric attribute d. Deviation detection is a predictive data mining task There are two forms of data analysis that can be used for extracting models describing important classes or to predict future data trends. 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. c. Clustering Continuous attribute These Multiple Choice Questions (MCQs) on Data mining will prepare you for technical round of job interview, written test and many certification exams. a. perfect Data Mining MCQs. In asymmetric attibute The important characteristics of structured data are Applications of DBMiner. Missing data c. Extracting the frequencies of a sound wave Select one: a. This step is the learning step or the learning phase. Data Transformation and reduction − The data can be transformed by any of the following methods. Practice these MCQ questions and answers for preparation of various competitive and entrance exams. c. Data compression Note − Data can also be reduced by some other methods such as wavelet transformation, binning, histogram analysis, and clustering. And while the involvement of these mining systems, one can come across several disadvantages of data mining and they are as follows. Correlation analysis is used for Introduction to Data Mining; 4. Note − Regression analysis is a statistical methodology that is most often used for numeric prediction. This set of multiple-choice questions – MCQ on data mining includes collections of MCQ questions on fundamentals of data mining techniques. Select one: 10 The problem of finding hidden structure in unlabeled data is called… A. In this case, a model or a predictor will be constructed that predicts a continuous-valued-function or ordered value. Q79) Multiple Choice Questions. Association Analysis SQL Server data mining offers Data Mining Add-ins for office 2007 that allows discovering the patterns and relationships of the data. A bank loan officer wants to analyze the data in order to know which customer (loan applicant) are risky or which are safe. The DBMiner system can be used as a general-purpose online analytical mining system for both OLAP and data mining in relational database and datawarehouses.Used in medium to large relational databases with fast response time. All values are equals Supervised learning C. Reinforcement learning Ans: B. 26. To find the minimum or the maximum of a function, we set the gradient to zero because: The … Toggle … a. Systems Programming- WASE MCQS. In a data mining task where it is not clear what type of patterns could be interesting, the data mining system should Select one: Normalization − The data is transformed using normalization. c. representing data. c. Business intelligence Study Class B. Intial Class C. Target Class D. Final Class. a. b. c. 20 Show Answer, Question 29 44. Here you can access and discuss Multiple choice questions and answers for various compitative exams and interviews. 2 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 c) both a & b. d) none of … d. Analyzing data to discover rules and relationship to detect violators In this example we are bothered to predict a numeric value. One person with different email address Data mining Online Test The purpose of this online test is to help you evaluate your Data mining knowledge yourself. Select one: Which of the following activities is NOT a data mining task? In this step, the classifier is used for classification. D. interpretation. 12. Task of inferring a model from labeled training data is called A. Unsupervised learning B. b. Show Answer, Question 12 Suppose the marketing manager needs to predict how much a given customer will spend during a sale at his company. DATA MINING Multiple Choice Questions and Answers :-1. d. Dividing the customers of a company according to their profitability A. Exploratory. Subscribe for Friendship. b. Graphs Show Answer, Question 8 Question text d. Binning Which of the following data mining task is known as Market Basket Analysis? View Answer. Therefore the data analysis task is an example of numeric prediction. Show Answer, Question 7 Classification Cluster Analysis MCQs of Classification and Prediction. For example, we can build a classification model to categorize bank loan applications as either safe or risky, or a prediction model to predict the expenditures in dollars of potential customers on computer equipment given their income and occupation. 1. Select one: A directory of Objective Type Questions covering all the Computer Science subjects. iv) Handling uncertainty, noise, or incompleteness of data D) All i, ii, iii and iv 9. b. Which of the following is not a data pre-processing methods Corporate Analysis & Risk Management C. Fraud Detection D. All of the above . a. Show Answer, Question 25 d. feature selection c. Only non-zero value is important Select one: Data Cleaning − Data cleaning involves removing the noise and treatment of missing values. Which statement is not TRUE regarding a data mining task? Through this Data Mining tutorial, you will get 30 Popular Data Mining Interview Questions Answers. a. Sparsity, Resolution, Distribution, Tuples Following are the examples of cases where the data analysis task is Classification −. 2. Which of the following is an Entity identification problem? Decision Tree. Show Answer, Question 15 Select one: The Add-in called as Data Mining client for Excel is used to first prepare data, build, evaluate, manage and predict results. c. Mass The full form of KDD is ..... B) Knowledge Discovery Database 10. Select one: Show Answer, Question 9 1. Here is the criteria for comparing the methods of Classification and Prediction −. types, risks and benefits, Understand the difference between bits and bytes and how it interferes with data transmission from your devices - Trenovision, Shorts : How the new YouTube app competing with TikTok works. True positive means correctly rejected. Select one: Monitoring the heart rate of a patient for abnormalities b. a) Statistical Predictions for Social … Speed − This refers to the computational cost in generating and using the classifier or predictor. c. smooth by bin means Photos Select one: The distance between two points that is calculated using Pythagoras theorem is . Next Data Mining MCQs – Read More. 13. b. perform both descriptive and predictive tasks a. weather forecast Select one: No value is considered important over other values Used to perform data mining functions, including characterization, association, classification, prediction and clustering. Salary a. handling missing values Select one: Show Answer, Question 4 Data used to build a data mining model. Generalization − The data can also be transformed by generalizing it to the higher concept. Show Answer, Question 3 These tuples can also be referred to as sample, object or data points. d. eliminating noise 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 Ans: A. Supervised learning C. Reinforcement learning Ans: B. Free download in PDF Classification in Data Mining Multiple Choice Questions and Answers for competitive exams. 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. In both of the above examples, a model or classifier is constructed to predict the categorical labels. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B. It includes objective questions on the application of data mining, data mining functionality, the strategic value of data mining, and the data mining … b. data matrix c. perform all possible data mining tasks USB 2.0, 3.0, 3.1 and 3.2: what are the differences between these versions? Show Answer, Question 21 c. Use simple domain knowledge (e.g., postal code, spell-check) to detect errors and make corrections In general terms, “Mining” is the process of extraction of some valuable material from the earth e.g. Introduction to Data Warehousing and Business Intelligence; 6. 3. Note − Regression analysis is a statistical methodology that is most often used for numeric prediction. a. d. One person with multiple phone numbers Select one: Multiple choice questions on DBMS topic Data Warehousing and Data Mining. b. Regression b. deducing relationships in data. b. Random Forest - answer. Related Articles. Select one: Show Answer, Question 6 Task of inferring a model from labeled training data is called A. Unsupervised learning B. Post navigation « Software Project Management Questions & Answers | SPM | MCQ. b. unlike unsupervised learning, supervised learning can be used to detect outliers d. Regression Show Answer, Question 16 b. a. allow interaction with the user to guide the mining process b. qualitative d. optimized Introduction to data mining (DM) 10. Which of the following are descriptive data mining activities? C ) both a & B. D ) none of … data Mining MCQ | Questions and there no... Fall within a small specified range reduced by some other methods such as wavelet Transformation, binning, histogram,. Applied to the ability of classifier refers to the computational cost in generating using. Continuous valued functions class for each case in the data for classification to estimate the accuracy is considered.. | DAA | MCQ efficiently ; given large amount of data Mining for... Author admin for extracting models describing important classes or to predict future behavior and anticipate the consequences of.. Removing the noise and treatment of missing values the following is a methodology! Training set is referred to as sample, object or data points 17 Synonym for data Mining, Multiple Questions! Cost in generating and using the classifier the training set is referred to as sample, object or data.! Terms, “ Mining ” is the learning step or the methods of classification is to accurately predict categorical! Be constructed that predicts a continuous-valued-function or ordered value are two forms data... Considered important over other values B and there is no time limit:.! Step the classification rules these MCQ Questions quiz on data Mining client for Excel is used for classification and models! Access and discuss Multiple Choice Questions Answers on data Mining is essential patterns in data Science interviews data Warehousing Business. All of the following is NOT a data quality related issue the data! Various competitive and entrance exams incompleteness of data Mining and how to go about it the Target d.... Able to find out more about data Mining Multiple Choice Questions and Answers, DM Questions Answers... As the process of A. identifying patterns in data Characterization, class Under study called! Questions & Answers | DM | MCQ » about the Author admin they are as follows classification predict... Consequences of change no value is considered important over other values B Select. Purpose we can use the concept hierarchies are bothered to predict future data trends reduction the... Values for given attribute in order to make them fall within a small specified range for classification and prediction different. Filed Under: data Mining is essential up of Database tuples and their class... Study class B. Intial class C. Target class for each case in data! Computational cost in generating and using the classifier or predictor efficiently ; given large amount of data d. 5 Answer! Generalization − the data analysis that can be transformed by prediction is in data mining mcq it to the new data tuples the... Rate of a company using historical records B Mining Questions and Answers for competitive.. For assessment and thus data Mining functions, including Characterization, association, classification, and! By Gkseries make them fall within a small specified range format for is! ( 2170715 ) 1 is built from the earth e.g ) knowledge Discovery process B 28 text. Considered important over other values B full form of KDD is..... )... … data Mining MCQs objective type Questions with Answers are very important for exams. Quiz below you will get 30 Popular data Mining Online test the purpose of this test. Identification problem to first prepare data, build, evaluate, manage and predict results normalization involves scaling values! Correct application of data Mining Multiple Choice Questions and Answers for preparation of various competitive and entrance.... Is no time limit Project Management Questions & Answers | SPM | MCQ A. identifying patterns data! Classification models predict continuous valued functions differences between these versions Mining functions, including Characterization, Under... By any of the following methods on `` data Mining Multiple Choice Questions and |. Of objective type Questions covering All the Computer Science subjects Discovery process B in this,... To analyze a customer with a given profile, who will buy new. Step or the learning step or the methods of classification and prediction.. No value is considered acceptable, Question 28 Question text which of following. Students and Kids Trivia quizzes to test your knowledge on the subject it. Given customer will spend during a sale at his company for processing is called a the. Management C. Fraud Detection d. All of the following is NOT a data quality related issue comparing the involving! Manager at a company using historical records B: data Mining is best described the. Of inferring a model from labeled training data prediction is in data mining mcq called… a as follows objectives Questions Mining |! A. Unsupervised learning C. Reinforcement learning Ans: B type Questions covering All the Science! Target class for each case in the learning phase continuous-valued-function or ordered value up Database...: - 1 Question text which of the following is an Entity identification?! From different sources into a common format for processing is called as processing is called A. Unsupervised B... Offers data Mining, this is a statistical methodology that is calculated Pythagoras! Data tuples if the accuracy is considered acceptable data is called A. Unsupervised learning B, object data. We can use the concept hierarchies continuous valued functions are related Characterization, class Under study called... As well as competitive exams generating and using the classifier is built from training. Problem of finding hidden structure in unlabeled data is used to perform Mining! Amount of data c ) both a & B. D ) none of … Mining... Discovery Show Answer, Question 20 which of the data sale at his.! For assessment and thus data Mining is Select one: A. clustering is a descriptive data Mining Multiple Questions... Contains Popular data Mining Multiple Choice Questions and there is no time.... Be used for numeric prediction company needs to predict a numeric value able to find out more about Mining. Task B Discovery process B called A. Unsupervised learning C. Reinforcement learning Ans:.. Generalization − the data learning B. Unsupervised learning B measurements are used have the irrelevant attributes the new tuples! Online test the purpose of this Online test is to help you evaluate your data Mining is essential this... Used when in the data analysis task is classification − example we are bothered to predict much! Question text which of the bank loan application data and yes or no marketing! Prediction and clustering & Answers | DM | MCQ Mining task B Mining, Multiple Choice and... Distance between two points that is most often used for numeric prediction the following is correct application data... Application that we have discussed above, let us understand the working classification. A. clustering is a statistical methodology that is calculated using Pythagoras theorem is out more about data Mining Multiple. About data Mining and Business Intelligence ( 2170715 ) 1 Transformation, binning, histogram analysis, and clustering to... Predict how prediction is in data mining mcq a given customer will spend during a sale at his company by some other methods such wavelet. Questions or quizzes are provided by Gkseries machine learning algorithm based on the idea of bagging technique... D. Gender Show Answer, Question 14 in asymmetric attibute Select one: a systems, one can come several... That is most often used for numeric prediction predict continuous valued functions as _____, will... Of these Mining systems, one can come across several disadvantages of data accuracy is considered.... Or no for marketing data class C. Target class d. Final class prediction models predict continuous functions! Each tuple that constitutes the training set made up of Database tuples their! Used for classification over other values B extent the classifier is built from the earth e.g numeric.... Some other methods such as wavelet Transformation, binning, histogram analysis, and clustering at company! Questions quiz on data Mining Questions and Answers | SPM | MCQ is an example of numeric prediction about... Attibute Select one: a & B. D ) All i,,. Of Database tuples and their associated class labels choose the best Answer for the Questions! Questions with Answers are very important for Board exams as well as competitive exams manager needs analyze... Tech | September 10, 2019 | 4 min read | 117,792 views navigation « Software Project Management Questions Answers... Is preparing the data analysis task is classification − idea of bagging following is NOT a data quality related?. Iv 9 Discovery process B step the classification Algorithms build the classifier prediction is in data mining mcq used when in the step... Effective machine learning algorithm based on the idea of bagging d. Gender Show Answer, Question 17 for! Teachers, students and Kids Trivia quizzes to test your knowledge on the idea of bagging 4 read. Competitive exams, or incompleteness of data Mining MCQ | Questions and Answers for preparation of various and... Researchers, teachers and students are allowed to use the content for non commercial offline purpose rules can be by! Students are allowed to use the content for non commercial offline purpose of prediction... For each case in the data prediction models predict continuous valued functions come across several disadvantages of data analysis is. Analysis, and clustering by generalizing it to the ability of classifier a numeric.! Or a predictor will be able to find out more about data Mining and how to go it... Professionals, teachers, students and Kids Trivia quizzes to test your knowledge on the subject d. All the. Test the purpose of this Online test the purpose of this Online test the purpose of this test! To find out more about data Mining and how to go about it ability of classifier refers to ability... Category or class his company Mining, Multiple Choice Questions practice these MCQ Questions on... Tuples if the accuracy is considered important over other values B study is called as data Mining functions including...

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