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classification is mcq in data mining

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

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