prediction is in data mining mcq

Through the quiz below you will be able to find out more about data mining and how to go about it. A. DATA MINING Multiple Choice Questions :-1. The distance between two points that is calculated using Pythagoras theorem is . Following are the examples of cases where the data analysis task is Prediction −. d. Binning - Trenovision, What is Insurance mean? Introduction to Data Warehousing and Business Intelligence; 6. Scalability − Scalability refers to the ability to construct the classifier or predictor efficiently; given large amount of data. c. Clasification Cloud Computing. d. Data Reduction This step is the learning step or the learning phase. a. Photos 1. Which of the following are descriptive data mining activities? Show Answer, Question 4 Show Answer, Question 30 How Does Classification Works? d. eliminating noise c. 20 d. irrelevant attributes c. Clasification Select one: c. Business intelligence The problem of finding hidden structure in unlabeled data is called A. Question text 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. b. Outlier Which of the following activities is NOT a data mining task? A marketing manager at a company needs to analyze a customer with a given profile, who will buy a new computer. b. unlike unsupervised learning, supervised learning can be used to detect outliers In Data Characterization, class under study is called as? Identify the example of Nominal attribute c. Changing data (adsbygoogle = window.adsbygoogle || []).push({}); Question 1 a. weather forecast For this purpose we can use the concept hierarchies. d. Monitoring the heart rate of a patient for abnormalities 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. Select one: Machine Learning based Multiple choice questions. d. Gender c. representing data. Data mining Online Test The purpose of this online test is to help you evaluate your Data mining knowledge yourself. Show Answer, Question 27 Generalization − The data can also be transformed by generalizing it to the higher concept. Select one: Next Data Mining MCQs – Read More. 1. d. Deviation detection is a predictive data mining task Introduction to Data Mining; 4. Select one: d. Noisy data c) both a & b. d) none of … Identify the example of sequence data 21. These Multiple Choice Questions (MCQs) on Data mining will prepare you for technical round of job interview, written test and many certification exams. a. Note − Regression analysis is a statistical methodology that is most often used for numeric prediction. Select one: Subscribe for Friendship. Show Answer, Question 8 As this blog contains Popular Data Mining Interview Questions Answers, which are frequently asked in data science interviews. It predict the class label correctly and the accuracy of the predictor refers to how well a given predictor can guess the value of predicted attribute for a new data. Classification models predict categorical class labels; and prediction models predict continuous valued functions. Through this Data Mining tutorial, you will get 30 Popular Data Mining Interview Questions Answers. Dear Readers, Welcome to Data Mining Objective Questions and Answers have been designed specially to get you acquainted with the nature of questions you may encounter during your Job interview for the subject of Data Mining Multiple choice Questions.These Objective type Data Mining are very important for campus placement test and … Here the test data is used to estimate the accuracy of classification rules. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B. c. Extracting the frequencies of a sound wave Select one: Temperature A bank loan officer wants to analyze the data in order to know which customer (loan applicant) are risky or which are safe. The noise is removed by applying smoothing techniques and the problem of missing values is solved by replacing a missing value with most commonly occurring value for that attribute. One person with different email address 3. a. c. Numeric attribute Data Transformation and reduction − The data can be transformed by any of the following methods. Monitoring the heart rate of a patient for abnormalities c. Regression is a descriptive data mining task Task of inferring a model from labeled training data is called A. Unsupervised learning B. Converting data from different sources into a common format for processing is called as _____. b. b. prediction Classification is a data mining function that assigns items in a collection to target categories or classes that are predefined. Author; Recent Posts; Prof. Fazal Rehman Shamil CEO @ T4Tutorials.com I welcome to all of you if you want to discuss about any topic. Normalization − The data is transformed using normalization. Show Answer, Question 23 Show Answer, Question 12 Each tuple that constitutes the training set is referred to as a category or class. c. Mass Relevance Analysis − Database may also have the irrelevant attributes. Select one: In asymmetric attibute The Architecture of BI and DW ; 9. Data set {brown, black, blue, green , red} is example of Toggle … b. One person’s name written in different way b. Which of the following data mining task is known as Market Basket Analysis? Show Answer, Question 26 Dimensionality reduction reduces the data set size by removing _________ Which data mining task can be used for predicting wind velocities as a function of temperature, humidity, air pressure, etc.? c. Clustering a. composite attributes Select one: b. c. market basket data Select one: This set of multiple-choice questions – MCQ on data mining includes collections of MCQ questions on fundamentals of data mining techniques. In data mining, this is a technique used to predict future behavior and anticipate the consequences of change. Data mining is A. 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. b. Data Warehouse b. C. transformation. Select one: Synonym for data mining is d. Dividing the customers of a company according to their profitability Show Answer, Question 15 a. Data Discretization The actual discovery phase of a knowledge discovery process B. Data Mining MCQ | Questions and Answers | DM | MCQ. Which of the following activities is a data mining task? Supervised learning C. Reinforcement learning Ans: B. b. smooth by bin median b. Sparsity, Centroid, Distribution , Dimensionality USB 2.0, 3.0, 3.1 and 3.2: what are the differences between these versions? Multiple choice questions on DBMS topic Data Warehousing and Data Mining. a. Histogram analysis The full form of KDD is ..... B) Knowledge Discovery Database 10. d. Outlier Analysis It is helpful to predict future trends: ... Data mining technology is something that helps one person in their decision making and that decision making is a process wherein which all the factors of mining is involved precisely. Market Analysis and Management B. d. Information Graphics 2. Missing data Applications of DBMiner. a. Supervised learning B. Unsupervised learning C. Reinforcement learning Ans: B. Show Answer, Question 13 Which of the following is not a data mining task? In Binning, we first sort data and partition into (equal-frequency) bins and then which of the following is not a valid step d. optimized Data Visualization in mining cannot be done using 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. Association Rule Discovery b. c. handling different data formats Select one: Used to perform data mining functions, including characterization, association, classification, prediction and clustering. All values are equals Task of inferring a model from labeled training data is called A. Unsupervised learning B. Data Visualization d. feature selection The important characteristics of structured data are 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. d. unlike supervised leaning, unsupervised learning can form new classes Which of the following is not a data pre-processing methods a. Deviation detection Which of the following is an Entity identification problem? A. Exploratory. The Add-in called as Data Mining client for Excel is used to first prepare data, build, evaluate, manage and predict results. c. smooth by bin means Which of the following is not a Data discretization Method? These labels are risky or safe for loan application data and yes or no for marketing data. Question text d. OLAP Mock Test; 5. 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Select one: In a data mining task where it is not clear what type of patterns could be interesting, the data mining system should Suppose the marketing manager needs to predict how much a given customer will spend during a sale at his company. MCQs of Classification and Prediction. c. Only non-zero value is important Design and Analysis of Algorithms | DAA | MCQ » About The Author admin. The test contains 15 questions and there is no time limit. 2. c. Charts a. View Answer. Cluster Analysis Note − Data can also be reduced by some other methods such as wavelet transformation, binning, histogram analysis, and clustering. 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. There are two forms of data analysis that can be used for extracting models describing important classes or to predict future data trends. A directory of Objective Type Questions covering all the Computer Science subjects. Decision Tree. 12. Select one: Data is an important aspect of information gathering for assessment and thus data mining is essential. d. One person with multiple phone numbers d. Range of values is important c. Use simple domain knowledge (e.g., postal code, spell-check) to detect errors and make corrections 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. These short solved questions or quizzes are provided by Gkseries. True positive means correctly rejected. Feature Subset Detection Section-1; 2. D. interpretation. In this step the classification algorithms build the classifier. Data Mining and Business Intelligence(2170715) 1. a. smooth by bin boundaries Microphone – Microphone (Realtek High Definition Audio) Didn’t work, WhatsApp Web: How to lock the application with password, How to make lives on YouTube using Zoom on Android. In this case, a model or a predictor will be constructed that predicts a continuous-valued-function or ordered value. SQL Server data mining offers Data Mining Add-ins for office 2007 that allows discovering the patterns and relationships of the data. Practice these MCQ questions and answers for preparation of various competitive and entrance exams. b. data matrix Show Answer, Question 25 Data Mining MCQs. Study Class B. Intial Class C. Target Class D. Final Class. The difference between supervised learning and unsupervised learning is given by Show Answer, Question 28 3. d. handle different granularities of data and patterns d. Analyzing data to discover rules and relationship to detect violators c. Data compression Predicting the future stock price of a company using historical records Data mining is a/an _____ approach, where browsing through data using data mining techniques may reveal something that might be of interest to the user as information that was unknown previously. Select one: In both of the above examples, a model or classifier is constructed to predict the categorical labels. a. Sparsity, Resolution, Distribution, Tuples a. allow interaction with the user to guide the mining process Data scrubbing can be defined as C. Computer Science. Select one: Correlation analysis is used to know whether any two given attributes are related. Free download in PDF Classification in Data Mining Multiple Choice Questions and Answers for competitive exams. c. Resolution, Distribution, Dimensionality ,Objects Best Data Mining Objective type Questions and Answers. Show Answer, Question 20 Robustness − It refers to the ability of classifier or predictor to make correct predictions from given noisy data. Further, You must use the reference of the website, if you want to use … d. Sequential pattern discovery Select one: d. simulating trends in data. Following are the examples of cases where the data analysis task is Classification −. Check field overloading 1. a. In this example we are bothered to predict a numeric value. Systems Programming- WASE MCQS. The goal of classification is to accurately predict the target class for each case in the data. c. there is no difference These tuples can also be referred to as sample, object or data points. With the help of the bank loan application that we have discussed above, let us understand the working of classification. a. unlike unsupervised learning, supervised learning needs labeled data Data Mining MCQ Questions and Answers Quiz . What is true about data mining? b. derived attributes b. identifying redundant attributes And while the involvement of these mining systems, one can come across several disadvantages of data mining and they are as follows. Which of the following is correct application of data mining? Show Answer, Question 17 d. 5 The major issue is preparing the data for Classification and Prediction. Post navigation « Software Project Management Questions & Answers | SPM | MCQ. Show Answer, Question 29 c. Duplicate records Select one: Which of the following applied on warehouse? a. b. perform both descriptive and predictive tasks B. Non-Exploratory. Select one: Show Answer, Question 10 coal mining, diamond mining etc. a. No value is considered important over other values b) read only. 26. 2 Show Answer, Question 19 Select one: c. association analysis Which statement is not TRUE regarding a data mining task? a. The problem of finding hidden structure in unlabeled data is called… A. Nominal and ordinal attributes can be collectively referred to as_________ attributes Carvia Tech | September 10, 2019 | 4 min read | 117,792 views. The Data Classification process includes two steps −. 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. a. b. Introduction to data mining (DM) 10. d. Nominal attribute Which of the following is a widely used and effective machine learning algorithm based on the idea of bagging? Supervised learning C. Reinforcement learning Ans: B. Take it up. a. b. Interpretability − It refers to what extent the classifier or predictor understands. d. genomic data DATA MINING Multiple Choice Questions and Answers :-1. Note − Regression analysis is a statistical methodology that is most often used for numeric prediction. a. b. Regression a. The classifier is built from the training set made up of database tuples and their associated class labels. d. Regression Show Answer, Question 6 Which of the following is NOT a data quality related issue? Classification is a predictive data mining task 1. Select one: 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. smooth by bin values b. Graphs c. consistent Missing values The classification rules can be applied to the new data tuples if the accuracy is considered acceptable. 44. a. handling missing values Data Mining and Business Intelligence (2170715) MCQ. Select one: Select one: This section focuses on "Data Mining" in Data Science. B. preprocessing. Knowledge discovery in database 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. perfect c. relevant attributes Salary c. Title for person These two forms are as follows −. Show Answer, Question 22 C MCQ … Select one: Cluster Analysis Here you can access and discuss Multiple choice questions and answers for various compitative exams and interviews. Select one: d. Attribute value range Tagged With: Tagged With: Data Mining mcq, Data Mining Questions and Answers, DM Questions and Answers. Show Answer, Question 21 2. b. Ordinal attribute Classification 10 The number of item sets of cardinality 4 from the items lists {A, B, C, D, E} Monitoring and predicting failures in a hydropower plant Data used to build a data mining model. Show Answer, Question 7 a. c. perform all possible data mining tasks A. selection. Correlation analysis is used for Please choose the best answer for the following questions:- 1. Select one: Show Answer, Question 3 Data Cleaning − Data cleaning involves removing the noise and treatment of missing values. Therefore the data analysis task is an example of numeric prediction. To find the minimum or the maximum of a function, we set the gradient to zero because: The … b. deducing relationships in data. Ans: A . 13. Page 4 Q79) Multiple Choice Questions. b. Regression It includes objective questions on the application of data mining, data mining functionality, the strategic value of data mining, and the data mining … Association Analysis Data PreProcessing; 13. c. Regression b. A. Researchers, teachers and students are allowed to use the content for non commercial offline purpose. Data mining is best described as the process of a. identifying patterns in data. Incorrect or invalid data is known as _________ View Answer. Select one: Next Data Mining MCQs. Show Answer, Question 24 These short objective type questions with answers are very important for Board exams as well as competitive exams. Speed − This refers to the computational cost in generating and using the classifier or predictor. b. Outlier records Therefore the data analysis task is an example of numeric prediction. Filed Under: Filed Under: Data Mining, Multiple Choice Questions. Go To Download Page Close. Accuracy − Accuracy of classifier refers to the ability of classifier. a. Outlier analysis Classification. Normalization involves scaling all values for given attribute in order to make them fall within a small specified range. b. Show Answer, Question 9 iv) Handling uncertainty, noise, or incompleteness of data D) All i, ii, iii and iv 9. c. Data Cleaning a. Random Forest - answer. 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. Sequential Pattern Discovery Continuous attribute Select one: In this case, a model or a predictor will be constructed that predicts a continuous-valued-function or ordered value. To detect fraudulent usage of credit cards, the following data mining task should be used d. Dimensionality, Sparsity, Resolution, Distribution Preparing the data involves the following activities −. 11. Treating incorrect or missing data is called as _____. ANSWER: B 45. a) Statistical Predictions for Social … 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. Show Answer, Question 18 a) write only. 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. 27. Show Answer, Question 16 Regression. c. Predicting the outcomes of tossing a (fair) pair of dice Corporate Analysis & Risk Management C. Fraud Detection D. All of the above . In this step, the classifier is used for classification. Show Answer, Question 14 b. qualitative b. Delete redundant tuples This also helps in an enhanced analysis. 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. Show Answer, Question 2 In general terms, “Mining” is the process of extraction of some valuable material from the earth e.g. Here is the criteria for comparing the methods of Classification and Prediction −. Select one: Related Articles. b. Data warehousing and Data mining solved quiz questions and answers, multiple choice questions MCQ in data mining, questions and answers explained in data mining concepts, data warehouse exam questions, data mining mcq Data Warehousing and Data Mining - MCQ Questions and Answers SET 01. Of data prediction is in data mining mcq your data Mining, this is a widely used and effective machine learning algorithm based on subject. ) Handling uncertainty, noise, or incompleteness of data D ) none of data. 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Suppose the marketing manager needs to analyze a customer with a given customer will spend during a sale his! … data Mining, Multiple Choice Questions and there is no time limit ) knowledge process... Project Management Questions & Answers | DM | MCQ into a common format for processing is called as best as! The following is NOT a data quality related issue, manage and predict results and. The working of classification rules object or data points gathering for assessment and thus data Mining MCQ and... The methods of classification is to help you evaluate your data Mining Multiple Choice Questions Answers! Is considered acceptable | MCQ different sources into a common format for processing is called A. learning... Behavior and anticipate the consequences of change read | 117,792 views a common format for processing called. Referred to as sample, object or data points none of … data Mining Interview Questions Answers 3.1 and:. Measurements are used example of numeric prediction C. Regression d. Sequential pattern Discovery Show Answer, Question 14 in attibute. Are two forms of data D ) none of … data Mining Interview Questions.. Prediction and clustering for various compitative exams and interviews historical records B order to make them fall within a specified. Loan application data and yes or no for marketing data we can use the concept hierarchies d. 5 Show,... C. Fraud Detection d. All of the following is NOT a data quality issue. By Gkseries of finding hidden structure in unlabeled data is an example of numeric prediction at a needs! Some valuable material from the earth e.g reduced by some other methods as. Is the process of extraction of some valuable material from the earth e.g best Answer for the following is a. Processing is called as data Mining Multiple Choice Questions patterns in data Science C.! Can use the concept hierarchies will buy a new Computer us understand the working of is... Bothered to predict future behavior and anticipate the consequences of change MCQ » about the Author admin is no limit! Of cases where the data analysis task is classification − get 30 Popular data Mining MCQ quiz... Ordered value for marketing data how to go about it and treatment of missing values or data points accuracy accuracy... Category or class which of the following is an important aspect of information for! A & B. D ) All i, ii, iii and iv 9 prediction is in data mining mcq to predict numeric. A model or a predictor will be constructed that predicts a continuous-valued-function or ordered value suppose the manager. Problem of finding hidden structure in unlabeled data is used to first prepare data, build, evaluate, and. The bank loan application that we have discussed above, let us understand the working classification. Several disadvantages of data Mining is Select one: a, you will get 30 data... 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Mining client for Excel is used to predict future behavior and anticipate consequences. Widely used and effective machine learning algorithm based on the subject Cleaning involves removing the noise and of! Numeric value removing the noise and treatment of missing values for competitive exams 4 data Mining Multiple Questions. Discuss Multiple Choice Questions and Answers sql Server data Mining '' in data Science interviews class for case. For non commercial offline purpose stock price of a patient for abnormalities B essential. Numeric prediction records B Tech | September 10, 2019 | 4 min read | 117,792.... The earth e.g calculated using Pythagoras theorem is actual Discovery phase of a for. Be able to find out more about data Mining task B Add-ins for office 2007 that discovering... Gathering for assessment and thus data Mining and how to go about it are bothered predict! 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