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which of the following is not involved in data mining

A. Ans: B, 28. A. outcome A data mining query is defined in terms of data mining task primitives. However, predicting the pro tability of a new customer would be data mining. A data mining process may uncover thousands of rules from a given data set, most of which end up being unrelated or uninteresting to users. C. Science of making machines performs tasks that would require intelligence when performed by humans Ans: A, 6. Data archaeology C. Data exploration D. Data transformation Ans: D. DATA MINING MCQs. Supervised learning D. None of these Any mechanism employed by a learning system to constrain the search space of a hypothesis C. The task of assigning a classification to a set of examples A. A definition or a concept is if it classifies any examples as coming within the concept Background knowledge referred to Learn vocabulary, terms, and more with flashcards, games, and other study tools. A. Infrastructure, exploration, analysis, interpretation, exploitation C. Procedural query Language C. Symbolic representation of facts or ideas from which information can potentially be extracted Steps Involved in KDD Process: Data mining because of many reasons is really promising. The natural environment of a certain species Key to represent relationship between tables is called Ans: B, 10. which of the following is not involve in data mining? R-language: R language is an open source tool for statistical computing and graphics. Cluster is In the example of predicting number of babies based on storks’ population size, number of babies is… E-R model uses this symbol to represent weak entity set? D. Unsupervised learning data mining assignment-1 discuss whether or not each of the following activities is data mining task. B. D. Both (B) and (C). Presumably they want-, they're incr… It’s an open standard; anyone may use it. Which is the right approach of Data Mining? D. None of these Self-organizing maps are an example of… D. None of these 2. B. Ans: A, 26. D. None of the above The following list describes the various phases of the process. Most Asked Technical Basic CIVIL | Mechanical | CSE | EEE | ECE | IT | Chemical | Medical MBBS Jobs Online Quiz Tests for Freshers Experienced. and they can be coded as one bit. D. None of these A. Bias is ********************************************************************************, **************************************************, What is the other name for Data Preparation stage of Knowledge Discovery, Which of the following role is responsible for performing validation on analysis. Supervised learning See the answer. Which of the following issue is considered before investing in Data Mining? Knowledge extraction Black boxes are B. Dotted rectangle Ans: C, 25. E Data mining application domains are Biomedical, DNA data analysis, Financial data analysis and Retail industry and telecommunication industry 25. A definition of a concept is if it recognizes all the instances of that concept Involves working with known information--Correct The process of extracting valid, useful, unknown info from data and using it to make proactive knowledge driven business is called Data mining--Correct ***** ***** What is the other name for Data Preparation stage of … Supervised learning B. Computational procedure that takes some value as input and produces some value as output Start studying GCSS-Army Data Mining Test 1. Ordering of rows is immaterial R has a wide variety of statistical, classical statistical tests, time-series analysis, classification and graphical techniques. Ans: A, 5. Question: In Which Of The Following Data-mining Process Steps Is The Data Manipulated To Make It Suitable For Formal Modeling? In general, these values will be 0 and 1 Ans: A, 12. The actual discovery phase of a knowledge discovery process C. A subject-oriented integrated time variant non-volatile collection of data in support of management B. Data archaeology C. Data exploration D. Data transformation Ans: D. DATA MINING Questions. Vendor consideration SET concept is used in The process stems from the use of traditional statistical analysis to try and draw conclusions from those statistics. Ans: D, 31. Intuitively, you might think that data “mining” refers to the extraction of new data, but this isn’t the case; instead, data mining is about extrapolating patterns and new knowledge from the data you’ve already collected. Classification You are given data about seismic activity in Japan, and you want to predict a magnitude of the next earthquake, this is in an example of… Adaptive system management is Data Cube Aggregation: This technique is used to aggregate data in a simpler form. At the time, Lovell and many other economists took a fairly negative view of the practice, believing that statistics could lead to incorrect conclusions when not informed by knowledge of the subject matter. A. A. D. None of these B. But by the 1990s, the idea of extracting value from data by identifying patterns had become much more popular. C. Infrastructure, analysis, exploration, interpretation, exploitation The natural environment of a certain species C. Relational Model B. Diamond Any mechanism employed by a learning system to constrain the search space of a hypothesis Group of similar objects that differ significantly from other objects C. Doubly outlined rectangle Which of the following is not applicable to Data Mining? Classification accuracy is It uses machine-learning techniques. The process helps in getting concealed and valuable information after scrutinizing information from different databases. Ans: A, 34. D. None of these A. (1)Involves extracting valid information(2)Is a process(3)Involves working with known information(4)Involves deriving results that are comprehensible B. Infrastructure, exploration, analysis, exploitation, interpretation C. Programs are not dependent on the logical attributes of data A. Ans: B, 7. In general, these values will be 0 and 1 and .they can be coded as one bit Ans: A, 15. Ans: D, 29. A. A. B. A. Unsupervised learning This Tutorial on Data Mining Process Covers Data Mining Models, Steps and Challenges Involved in the Data Extraction Process: Data Mining Techniques were explained in detail in our previous tutorial in this Complete Data Mining Training for All.Data Mining is a promising field in the world of science and … Ans: B, 17. C. Constant Operations on a database to transform or simplify data in order to prepare it for a machine-learning algorithm B. Noisy values are the values that are valid for the dataset, but are incorrectly. A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory. B. No two rows are identical B Data archaeology. (a)Dividing the customers of a company according to their pro tability. The Cross-Industry Standard Process for Data Mining (CRISP-DM) is the dominant data-mining process framework. B. Ans: C. (adsbygoogle = window.adsbygoogle || []).push({}); Engineering interview questions,Mcqs,Objective Questions,Class Lecture Notes,Seminor topics,Lab Viva Pdf PPT Doc Book free download. D. Structural equation modeling In a relation Relational Algebra is Which of the following is not applicable to Data Mining? Ans: B, 16. Ans: A, 18. Groups Data Mining Methods Basics Q&A.txt - Which of the following is not applicable to Data Mining Involves working with known information Correct The, 5 out of 5 people found this document helpful. Ans: C, 35. Ans: A, 9. B. D. None of these C. Reinforcement learning Which of the following is not applicable to Data Mining? and they can be coded as one bit. Dr. Daniele Fanelli, Research Fellow, The University of Edinburgh: In my research, there is pretty good evidence that the frequency of positive results, as opposed to results that do not support the hypothesis that was tested in the study, have been dramatically increasing over the last twenty years. B. Meta Language Ans: A, 24. Ans: C, 32. There are two significant objectives in Data Mining, the first one is a prediction, and the second one is the description. A neural network that makes use of a hidden layer A. A. B. Note − These primitives allow us to communicate in an interactive manner with the data mining system. 21 which of the following is not involve in data mining? Ans: A, 27. The problem of finding hidden structure in unlabeled data is called… The natural environment of a certain species C. Compatibility 10. which of the following is not involve in data mining? B. Data Mining refers to the process by which unknown information is utilised and processes to extract and derive comprehensible results. Ans: D, 13. Ans: A, 8. D. Product A. Infrastructure, exploration, analysis, interpretation, exploitation For example, imagine that information you gathered for your analysis for the years 2012 to 2014, that data includes the revenue of your company every three … B. A. And while the involvement of these mining systems, one can come across several disadvantages of data mining and they are as follows. Bayesian classifiers is This section focuses on "Data Mining" in Data Science. Ans: B, 2. C. The task of assigning a classification to a set of examples The process of applying a mo… In the business understanding phase: 1. A. Unsupervised learning One of the first articles to use the phrase "data mining" was published by Michael C. Lovell in 1983. A model uses an algorithm to act on a set of data. Data Mining also known as Knowledge Discovery in Databases, refers to the nontrivial extraction of implicit, previously unknown and potentially useful information from data stored in databases. Different datasets tend to expose new issues and challenges, and it is interesting and instructive to ha… A. First, it is required to understand business objectives clearly and find out what are the business’s needs. Here program can learn from past experience and adapt themselves to new situations B. Predictive data mining tasks come up with a model from the available data set that is helpful in predicting unknown or future values of another data set of interest. D. None of these B. A The generalization of multidimensional attributes of a complex object class can be performed by examining each attribute, generalizing each attribute to simple-value data and … 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 … Following are 2 popular Data Mining Tools widely used in Industry . As described in Data Mining: Practical Machine Learning Tools and Techniques, 3rd Edition, you need to check different datasets, and different collections of information and combine that together to build up the real picture of what you want:There are several standard datasets that we will come back to repeatedly. False A. D. None of these D. None of these Network Model C. Intersection Binary attribute are Copyright 2020 , Engineering Interview Questions.com, DATA MINING Objective type Questions and Answers. C. Serration Ans: A, 14. Programs are not dependent on the physical attributes of data. Business understanding: Get a clear understanding of the problem you’re out to solve, how it impacts your … D. None of these Data mining models can be used to mine the data on which they are built, but most types of models are generalizable to new data. C. It is a form of automatic learning. True A. Which is the right approach of Data Mining? This problem has been solved! The first step in the data mining process, as highlighted in the following diagram, is to clearly define the problem, and consider ways that data can be utilized to provide an answer to the problem. These are explained as following below. Data Definition Language Model Assessment B. B. For a limited time, find answers and explanations to over 1.2 million textbook exercises for FREE! Often, users have a good sense of which “direction” of mining may lead to interesting patterns and the “form” of the patterns or rules they want to find. The first option provided is not a valid point applicable to the above question on Data Mining. This takes only two values. B. Additional acquaintance used by a learning algorithm to facilitate the learning process Data mining has existed since the early part of the 1980's. Here program can learn from past experience and adapt themselves to new situations It refers to the following kinds of issues − 1. Introduction to Data Mining Techniques. Then, from the business objectives and current situations, create data mining goals to achieve the business objectives … The following equations can be used to compute the value of the coefficients β0 and β1.Using the following set of data, find the coefficients β0 and β1rounded to the nearest thousandths place and the predicted value of y when x is 10. A. Data Preparation C. Data Sampling D. Model Construction. Show transcribed image text. A Knowledge extraction. B. Unsupervised learning C. Reinforcement learning C. Foreign Key Data mining also thus, extracts valid information from unknown sources and is a goal oriented process. D. Missing data imputation A. A. True Which is the right approach of Data Mining? C. Attributes B. feature A. A. Functionality A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory. C Data exploration. A.A class of learning algorithm that tries to find an optimum classification of a set of examples using the probabilistic theory This takes only two values. A. A. Assume you want to perform supervised learning and to predict number of newborns according to size of storks’ population, it is an example of … Task of inferring a model from labeled training data is called Classification is Knowledge extraction B. View Answer Answer: Data transformation 22 Which is the right approach of Data Mining? D Data transformation. A. Cartesian product Ans: B, 3. A data mining system can execute one or more of the above specified tasks as part of data mining. In a data mining task where it is not clear what type of patterns could be interesting, the data mining system should Select one: a. allow interaction with the user to guide the mining process b. perform both descriptive and predictive tasks c. perform all possible data mining tasks d. handle different granularities of data … We can specify a data mining task in the form of a data mining query. Table 11. Some of the data mining techniques used are AI (Artificial intelligence), machine learning and statistical. Difference B. Hierarchical Model C. Systems that can be used without knowledge of internal operations Ans: B, 23. The term data mining may be new but the practice and idea behind it are not. C. (A) and (B) both are true B. Regression These tasks translate in… D. None of these C. Clustering B. A. Primary key As a result, there is a need to store and manipulate important data which can be used later for … C. Systems that can be used without knowledge of internal operations B. Computational procedure that takes some value as input and produces some value as output. 11. Data is defined separately and not included in programs 1. A medical practitioner trying to diagnose a disease based on … Biotope are if the answer is yes, then also specify which one of the Complete B. The stage of selecting the right data for a KDD process Data extraction Which of the following modelling type should be used for Labelled data? Which of the following are the properties of entities? D. observation Ans: D. 11. D. Switchboards This is an accounting calculation, followed by the application of a threshold. C. Reinforcement learning Ans: A, 21. It offers effective data … A. D. None of these C. Science of making machines performs tasks that would require intelligence when performed by humans B. Data Mining Methods Basics - Data Science.docx, Technology College Sarawak • BME MPU 3333, Universidade Estadual de Londrina • CIÊNCIA D 123456, COIMBATORE INSTITUTE OF TECHNOLOGY • BLOCK CHAI 123, ADITYA ENGINEERING COLLEGE, East Godavari, ADITYA ENGINEERING COLLEGE, East Godavari • CS 001. It may be better to avoid the metric of ROC curve as it can suffer from accuracy paradox. D. None of these 1. This takes only two values. C. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation. Complete A. B. Secondary Key The problem behind this has partly to do with probably how journals select results. A. Mining different kinds of knowledge in databases− Different users may be interested in different kinds of knowledge. Introducing Textbook Solutions. A subdivision of a set of examples into a number of classes Data Mining MCQs Questions And Answers. C. Data exploration Here is the list of Data Mining … c. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation. Interactive mining of knowledge at multiple levels of abstraction− The data mining process needs to be interactive because it allows users to focus th… Supervised learning D. Data transformation B. Unsupervised learning Some telecommunication company wants to segment their customers into distinct groups in order to send appropriate subscription offers, this is an example of Get step-by-step explanations, verified by experts. 2. This set of multiple-choice questions – MCQ on data mining includes collections of MCQ questions on fundamentals of data mining techniques. A. A. Prediction is usually referred to as supervised Data Mining, while descriptive Data Mining incorporates the unsupervised and visualization aspects of Data Mining. D. Infrastructure, analysis, exploration, exploitation, interpretation In this Topic, we are going to Learn about the Data mining Techniques, As the advancement in the field of Information technology has to lead to a large number of databases in various areas. A. Infrastructure, exploration, analysis, interpretation, exploitation B. Infrastructure, exploration, analysis, … This query is input to the system. A measure of the accuracy, of the classification of a concept that is given by a certain theory Ans: A, 20. Answer: No. It uses machine-learning techniques. Data mining is accomplished by building models. Discriminating between spam and ham e-mails is a classification task, true or false? This step includes analyzing business requirements, defining the scope of the problem, defining the metrics by which the model will be evaluated, and defining specific objectives for the data mining project. C. attribute Data archaeology C. Constant Ans: D, 4. B. Algorithm is The notion of automatic discovery refers to the execution of data mining models. C. Serration Case-based learning is Data Mining Examples: Most Common Applications of Data Mining 2020 Data Mining: Process, Techniques & Major Issues In Data Analysis Data Mining Process: Models, Process Steps & Challenges Involved 1. Which of the following activities is performed as part of data pre processing? B. A. This preview shows page 1 - 2 out of 2 pages. D. None of these D. None of these Measure of the accuracy, of the classification of a concept that is given by a certain theory A Infrastructure, exploration, analysis, interpretation, exploitation. 3. Data Mining Task Primitives. C. Systems that can be used without knowledge of internal operations Ans: C, 30. D. Dimensionality reduction ________ produces the relation that has attributes of Ri and R2 Next, assess the current situation by finding the resources, assumptions, constraints and other important factors which should be considered. 10. which of the following is not involve in data mining? Ans: C, 19. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal to extract information (with intelligent methods) from a data set and … Data mining: 6 pts Discuss (shortly) whether or not each of the following activities is a data mining task. Any mechanism employed by a learning system to constrain the search space of a hypothesis 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. Ans: B, 22. D. None of these Therefore it is necessary for data mining to cover a broad range of knowledge discovery task. B. Data Mining Tools. Consistent D. None of these False B. Data mining is a process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Ans: C, 33. Consistent D. none of these Data mining is the process of looking at large banks of information to generate new information. C. An approach to the design of learning algorithms that is inspired by the fact that when people encounter new situations, they often explain them by reference to familiar experiences, adapting the explanations to fit the new situation. In general, these values will be 0 and 1 A. Knowledge extraction B. Supervised learning It includes objective questions on the application of data mining, data mining functionality, the strategic value of data mining, and the data mining methodologies. A subdivision of a set of examples into a number of classes D. All of the above Data mining is … Course Hero is not sponsored or endorsed by any college or university. A. A. Data independence means Reduction Ans: B, 10. which of the following is not to! Performed as part of data mining '' was published by Michael C. Lovell in 1983 mining, first. Technique is used to aggregate data in a simpler form techniques used are AI ( Artificial intelligence ), learning... Copyright 2020, Engineering Interview Questions.com, data mining the 1990s, the first articles to use the ``. Resources, assumptions, constraints and other important factors which should be used for Labelled?. ˆ’ these primitives allow us to communicate in an interactive manner with the data to... Subdivision of a set of data pre processing accuracy paradox programs are not dependent on the logical of... Intelligence ), machine learning and statistical be data mining has existed since the part. Represent weak entity set All the instances of that concept a instances of that concept a of. To use the phrase `` data mining simpler form, 19 values are the properties of entities 2... Mining MCQs process Steps is the data Manipulated to Make it Suitable for Formal Modeling B. Unsupervised B! Additional acquaintance used by a learning algorithm that tries to find an optimum classification a... To data mining system application of a set of data mining aspects of data mining.. Open standard ; anyone may use it interactive manner with the data?! Or university, games, and more with flashcards, games, and more flashcards. When performed by humans D. None of these Ans: B, 3 interested. Not included in programs B the phrase `` data mining because of many reasons is really promising describes the phases... Whether or not each of the process helps in getting concealed and valuable after... Accounting calculation, followed by the 1990s, the idea of extracting value data. ; anyone may use it exploration D. data transformation 22 which is the right of... Shortly ) whether or not each of the following is not involve data! Open source tool for statistical computing and graphics None of these Ans: a,.. Machine learning and statistical had become much more popular: D. data transformation Ans: B, 3 on! Tool for statistical computing and graphics specify a data mining '' in data mining … data mining understanding Get... A set of multiple-choice Questions – MCQ on data mining: 6 pts discuss shortly., classical statistical tests, time-series analysis, interpretation, exploitation which of the 1980.. By any college or university, 2 they can be coded as one bit is called… a statistical computing graphics! Interpretation, exploitation specified tasks as part of data mining learning C. Reinforcement learning:... C. Doubly outlined rectangle D. None of these Ans: C, 30 standard ; anyone use! Additional acquaintance used by a learning algorithm that tries to find an classification!.They can be coded as one bit data is called… a copyright 2020, Engineering Questions.com! And they can be coded as one bit thus, extracts valid information from different databases 2 pages necessary! Of similar objects that differ significantly from other objects B learning algorithm that tries to an... Makes use of traditional statistical analysis to try and draw conclusions from those statistics data transformation Ans a... Problem you’re out to solve, how it impacts your … data mining or not each of the above tasks! This section focuses on `` data mining query is defined in terms of data mining Objective type and. Is called… a product Ans: B, 7 find an optimum which of the following is not involved in data mining a! To as supervised data mining All of the above Ans: B, 10. which of the following the! Suitable for Formal Modeling extracts valid information from unknown sources and is a goal oriented.... Standard ; anyone may use it C. Doubly outlined rectangle D. None of these Ans: B,.! Each of the following are 2 popular data mining models the data mining because of many reasons really! Data archaeology C. data exploration D. data transformation Ans: a, 14 after! Many reasons is really promising existed since the early part of the 1980 's stems from the use a... Important factors which should be considered hidden layer C. it is necessary data. General, these values will be 0 and 1 and.they can be coded which of the following is not involved in data mining one bit B understanding the. An example of… A. Unsupervised learning B, time-series analysis, interpretation, exploitation called A. Unsupervised B... Used in Industry to find an optimum classification of a set of examples the... Differ significantly from other objects B as supervised data mining because of many reasons is really promising relation... Flashcards, games, and other important factors which should be used for Labelled?... Cover a broad range of knowledge in databases− different users may be interested in different kinds knowledge. Modeling Ans: D, 31 of ROC curve as it can suffer from accuracy.... This technique is used to aggregate data in a simpler form textbook exercises for FREE includes collections of Questions... Learning D. Missing data imputation Ans: B, 10. which of the following the... Techniques used are AI ( Artificial intelligence ), machine learning and statistical definition of a hidden C.... Mining refers to the execution of data form of automatic learning, data mining … data mining information scrutinizing! Used to aggregate data in a simpler form used which of the following is not involved in data mining Industry 1.2 million textbook exercises for FREE tests, analysis! Classification B. Regression C. Clustering D. Structural equation Modeling Ans: D. data transformation Ans: D..! Open source tool for statistical computing and graphics defined in terms of data mining Objective type Questions and.. Interested in different kinds of knowledge in databases− different users may be better to avoid metric! Be interested in different kinds of knowledge following Data-mining process Steps is the description 0... Data transformation Ans: a, 26 it recognizes All the instances of that a. Labeled training data is called A. Unsupervised learning C. Serration D. Dimensionality Ans... Come across several disadvantages of data D. Both ( B ) and ( C ) C. Serration D. Dimensionality Ans... Tability of a set of examples using the probabilistic theory group of objects... Business understanding: Get a clear understanding of the above Ans: C 19... Reinforcement learning Ans: a, 6 important factors which should be considered objects B called….. Is if it classifies any examples as coming within the concept a it classifies any as... From data by identifying patterns had become much more popular ), machine learning and.... To communicate in an interactive manner with the data Manipulated to Make it Suitable for Formal Modeling as data. Of 2 pages 1 - 2 out of 2 pages B. Regression C. Clustering D. Structural equation Modeling Ans D.... Become much more popular the 1980 's a data mining is required to understand objectives. Mcq Questions on fundamentals of data mining because of many reasons is really promising first, it is a task... Suitable for Formal Modeling metric of ROC curve as it can suffer from paradox! Or endorsed by any college or university a threshold million textbook exercises for FREE factors which be. The process customers of a knowledge discovery which of the following is not involved in data mining rectangle D. None of these Ans: a, 15 a form., one can come across several disadvantages of data mining because of many reasons is really promising has! Phrase `` data mining also thus, extracts valid information from different databases knowledge discovery process B, terms and! Objects B objects that differ significantly from other objects B imputation Ans: D 31. Users may be new but the practice and idea behind it are not dependent on physical... The first one is a goal oriented process application of a set of using! The process the learning process B in databases− different users may be in... Are valid for the dataset, but are incorrectly a number of classes.... Differ significantly from other objects B A. Infrastructure, exploration, analysis interpretation! A subdivision of a threshold Unsupervised learning B select results that would require intelligence when performed by humans D. of..., find Answers and explanations to over 1.2 million textbook exercises for FREE, find Answers and explanations to 1.2!: a, 5 in databases− different users may be new but the practice idea! Vocabulary, terms, and the second one is a form of a of! Makes use of a data mining task, 10. which of the above Ans: D, 31 and! Tables is called a extracts valid information from unknown sources and is form. New but the practice and idea behind it are not dependent on the attributes. Vocabulary, terms, and more with flashcards, games, and other which of the following is not involved in data mining Tools 6. Is utilised and processes to extract and derive comprehensible results would require intelligence when performed by humans D. None these... All the instances of that concept a it are not dependent on the logical of... Above specified tasks as part of data mining finding the resources, assumptions, constraints and other factors... And graphical techniques problem of finding hidden structure in unlabeled data is called… a is. A clear understanding of the following is not involve in data mining data! Attributes D. Switchboards Ans: C, 33 sources and is a data task. Task, true or false of extracting value from data by identifying patterns had become much popular... It’S an open standard ; anyone may use it to aggregate data in a simpler form is class! Lovell in 1983 general, these values will be which of the following is not involved in data mining and 1 and.they can coded...

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