data mining and warehousing mcq pdf

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Partition Object Periodic maintenance of a data mart means The pincer-search has an advantage over a priori algorithm when the largest frequent itemset is long. As this blog contains Popular Data Mining Interview Questions Answers, which are frequently asked in data science interviews. Data Mining and Warehouse MCQS with Answer. 'Data Mining and Warehousing MCQ Data Mining and June 22nd, 2018 - Data Mining and Warehousing Mock Test 35 of data means that the attributes within a given entity are fully dependent on the entire primary key of the entity ' 'Free Datawarehouse And Mining Mcq With Answers PDF ePub Data Mining and Data Warehousing Frequent Pattern Mining-Frequent Pattern Mining … The general experimental procedure adapted to data-mining problems involves the following steps: 1. a. Classification and prediction Data mining can also applied to other forms such as ..... i) Data streams ii) Sequence data iii) Networked data iv) Text data v) Spatial data. a. data warehouse a. Level-crises filtering by the single item Classification predicts a. POS stands for Drawback of Hierarchical Methods d. Both a & b, 2. PE(IT) 701A Data Warehousing & Data Mining IT SEM VII PAGE 1 OF 2 GOVERNMENT COLLEGE OF ENGINEERING & CERAMIC TECHNOLOGY AN AUTONOMOUS INSTITUTE AFFILIATED TO MAKAUT (FORMELY KNOWN AS WBUT) Theory / B. This site uses Akismet to reduce spam. a. Agglomerative Hierarchical Clustering and Density Hierarchical Clustering a. k-median method Data mining allows users to ask more complicated queries which would increase the workload while Data Warehouse is complicated to implement and maintain. What are the common approaches to tree pruning? b. b. Data Selection Measure c. A and B b. c. There are no samples for the branch test. d. Partition Object, 74. a. Data Mining Questions Answers can also be used by MCA students for the preparation of their exams. Search Search. Data Mining Multiple Choice Questions and Answers Pdf Free Download for Freshers Experienced CSE IT Students. b. True c. Density-based methods Practice these MCQ questions and answers for preparation of various competitive and entrance exams. c. Pam a. CLARA /Filter /FlateDecode Divisive Based Clustering Method Highest data gain Dynamic itemset counting algorithm Page 5. a. What is OLTP? d. None of these, 72. True C. A and b, 13. b. a. Agglomerative Approach Warehousing and Data Mining pdf Notes starts with the topics covering Introduction Fundamentals of data mining Data Mining Functionalities etc''Datawarehouse And Mining Mcq With Answers June 26th, 2018 - Document Directory Database Online Datawarehouse And Mining Mcq With Answers Datawarehouse And Mining Mcq With Answers In this site is not the same as Partition algorithm is based on the f. Insensitivity to the order of input records DATA MINING& DATA WAREHOUSING COURSE CODE:BCS-403 . c) both a & b. d) none of … Which of the following features usually applies to data in a data warehouse? Tagged With: Tagged With: Data Warehouse MCQ Questions and Answers pdf, data warehousing mcq, dwh mcq, expansion for dss in dw is, is a good alternative to the star schema., mcq on data warehouse, wase dumps, wase mcq, wase question and answer, wase solution, wase solutions, wase wipro, wipro wase c. Clustering 4. c. Three phase a. k-means and k-median b. maintenance b. d. Bi-Directional, 26. a. L(s1,s2,……..sm)=_log2(pi) Classical Portioning methods are Divisive Approach 46. d. None of above, 7. Data mining term is actually a misnomer. Data Warehousing and Data Mining - MCQ Questions and Answers. d. Solid circle, 8. d. all of the above, 19. b. Partition Below Medoids X08�N10��0Ɋ"|!XLN83p:�$ 1�sك�8 �<7���Xb�n�@ʣ�ʋ4�y5�&�+���Ђ�d����HL�m�U����G����"EP� �;�\y�,��M�\�E� �@)��ΖI����K(�1�$! d. None of the above. b. data mart e. Minimal requirement for domain knowledge to determine input parameters MFCS helps in pruning the candidate set c. both /Contents 4 0 R �7 �[h�m����ě(�����/�>��[|�M���1�����t�2L�c�F�ϫd�5\��S��xş�|(|��_�fx. b. Relevance analysis 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. a. b. {head} {body} Thus, data mining should have A data warehouse is usually modeled by a multidimensional database structure, where each Data Warehousing - Overview - The term Data Warehouse was first coined by Bill Inmon in 1990. 8_[���%�2+��s��c It is not suitable for discovering clusters with non-convex shapes d. No. d. None of above, 83: DBSCAN defines a cluster as a maximal set of density – A-True, B-True, C-False, 41.True / False a. a. << b. Logically divides into a number of overlapping Partitions Classification and Prediction have numerous applications: a. Clustering Large Applications Based Upon Randomized Search Scribd is the world's largest social reading and publishing site. b. operational data source d. Maximizes the number of tests, 49. a. operational system If the item set is in the dashed box then it moves into a solid box after completing a full pass True c. thick False, 35. d. all are true, 97. b. tree pruning Read the most frequently asked 50 top Data Warehousing multiple choice questions and answers PDF for freshers and experienced Data Warehousing Objective type Questions and Answers List 1. (i) Frequent item set in a bottom-up manner ships between database, data warehouse and data mining leads us to the second part of this chapter - data mining. /Img1 174 0 R It includes objective questions on components of a data warehouse, data warehouse application, Online Analytical Processing(OLAP), and OLTP. 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Agglomerative approach is called as c. Hanetal 9g}v�t�'����C�lYѫ{0�Y� d. None, 57. 1. d. None of the above. b. h. Constraint-based clustering Each Tuple is assumed to belong to a predefined class as determined by one of the attributes, called the class label attribute. False, 10. Size of the local Candidate set The general experimental procedure adapted to data-mining problems involves the following b. false, 4. {head_t} {body_t} A system that is used to run the business in real … a. c. Classification and Regression are the two major type of data analysis. External data source a. Minimizes the expected number of tests needed b. a. MCQ on Data Mining with Answers set-1 Unknown. c. reference and transaction data 5. b. By providing the standardized data format and the techniques of the data warehousing, your blog helped me in improving the various data accuracy. 5. Data Mining Objective Questions Mcqs Online Test Quiz faqs for Computer Science. c. None of above, 5. Ans. d. none of these, 73. Downward closure property d. all is valid, 96. Unit-2: What is Data Warehouse,Data Warehouse Introduction,Operational and informational Data,Operational Data,Informational Data,Data Warehouse Characteristics. c. noise Is a full-breadth search, where no background knowledge of frequent itemsets is used for pruning? Derived data is derived from Data Mining MCQs Questions And Answers. Classification and prediction c. Not divides into partitions c. None d. None of these, 68. d. None of the above, 61. b. a. �s��6+�����>�#���I� {��| ��A:L�5GJb�UO�lZ�`�+���ð�q��\��nI�����wG�3RN�0]�� \�#Wz�p�Y!��J�_���dPU�Y��C�-n&u�ڗ��r��9~ �^�%�GpoP1¤1Rr���0g*(r�t�'��������B���x't�I|��8���u�Ȝ��( c. Clustering Large Applications Solved MCQs on Data Warehousing. a. i) Data streams ii) Sequence data iii) Networked data iv) Text data v) Spatial data d. None of the above, 58. A directory of Objective Type Questions covering all the Computer Science subjects. c. Mean Described Length c. 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There are a number of strategies by which organizations can get into data warehousing. b. none d. web server, 86. This can be done by: 1. Close Large Applicant 5. b. The “Best Pruned Tree is the one that maximizes the number of encoding bits. b. d. Divides into non-logically and non-overlapping Partitions, 23. d. all are true, 93. (iii) & (iv) (i) only (b). ————–Table help and enable the end-users of the data mart to relate the data to its expanded version. Which of the following best describes the sample of data used to provide an unbiased evaluation of a model fit on the training dataset while tuning model hyper-parameters? b. d. All of the above, 51. The Computational Complexity of the k-means method algorithm is The k means is more robust in the presence of noise 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. True /Type /Page True d. All the above, 82 DBSCAN stands for: b. 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It can apply only when the mean of the cluster is defined. �/O�j�Fx�]v�z�Q,�FN�]ҚM Along with the best data warehouse service provider , I became capable of managing the data and the functions related to it properly. An extended prefix tree structure starting crucial and quantitative information about frequent sets a. endobj a. Agglomerative Approach To deal with larger data sets, a sampling method, called _________ Prediction models continued valued function c. {t_head}{t_body} c. Inter record distance d. Multi-level mining with reduced support, 28. Data warehouse systems help in the integration of diversity of application systems. The main idea of the algorithm is to maintain a frequent pattern tree of the date set. These short solved questions or quizzes are provided by Gkseries. Installing a set of data access, data directory and process management facilities 2. /Resources << c. k-prototypes method Two Phase c. 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Srikant Classification and Regression are the two major type of data analysis. b. of partitions _____ is a subject-oriented, integrated, time-variant, nonvolatile collection of data in support of management decisions. Priori Algorithm a. a. O(log x) b. (ii). Along with the best data warehouse service provider , I became capable of managing the data and the functions related to it properly. PAM stands for c. (i),(iii) & (iv) a. a. d. none of the above, 94. Requirement of Clustering in Data Mining Ability to deal with different types of attributes a. c. reference and transaction data �x��6�g�`{9ۀ�D���V�]d�9�l�K�I8� J�*��Z;�3�|���z3Ɋ��u��Ez�n��g��%̩}E�k^���4�wNE��aP�s|װP� �ia�j /��S�s���Fg; _��z�Fozg�2��q���-;���XF�|4��rn�I��A7WE-Q����@�EXF���b��#�휵@��M�bN��8����N&G����=�{#����5�X�����y�*�V�� ��A.2���Fb˝�����������z��0C�bn�I! d. None of these, 63. /F2 1456 0 R x^�ZKs����W���˜q�]�B�(.%�ק�3إ"�؃�0�f�1�_���ѻ��G�(���ߡl�o�׷{����=Z2��`�?5s��Z��ME(�/|ec�§s|����-~A�wO�)\�p�/�Q�EY��� ��)�&���~<>��g�p���@�w�?kˮ�����ѿ3��ҕ�"�?��]�w��&�c����������e�^��Y�����&wuU��d��,8�����u���{�7���|�A8�G��rO��m�*�O�M�m�pl/Vy9tp{�s�\_�~����zn��ћ�Ž�kK����Wt��|��/��|�����]ʃ�A�?�r��_�-��]��Uv�~����3��İ� Remember that the mining of gold from rocks or sand is referred to as gold mining rather than rock or sand mining. 7. a. a. load program Click here to Download 100 Data mining and data warehousing MCQs with answers pdf, Your email address will not be published. Rural Development /MediaBox [0 0 612 792] MCQ on Data Mining with Answers set-1 - poukaw8. b. noise object A cluster of data objects can be treated collectively as one group in many applications >> c. Performance prediction & selective marketing This set of multiple-choice questions – MCQ on data mining includes collections of MCQ questions on fundamentals of data mining techniques. Data Mining multiple choice questions and answers on data mining MCQ questions quiz on data mining objectives questions. Data mining can also applied to other forms such as ..... i) Data streams ii) Sequence data iii) Networked data iv) Text data v) Spatial data. Questions and answers - MCQ with explanation on Computer Science subjects like System Architecture, Introduction to Management, Math For Computer Science, DBMS, C Programming, System Analysis and Design, Data Structure and Algorithm Analysis, OOP and Java, Client Server Application Development, Data Communication and Computer Networks, OS, MIS, Software Engineering, AI, Web Technology and … b. K-medoids technique is based on Minimal Frequent Candidate Set Explain Machine Learning and Methodologies of Science . This section focuses on "Data Mining" in Data Science. a. Clara c. Postpruning. b. Size of the global Candidate set d. None of these, 24. Entity Selection Measure Functions of the second phase of the partition algorithm are a. Let us be the no. Data Mining is set to be a process of analyzing the data in different dimensions or perspectives and summarizing into a useful information. b. Agglomerative Hierarchical Clustering and Divisive Hierarchical Clustering a. Centroid Object True CS614 DATA WAREHOUSING MCQS VU MULTAN. MCFS stand for Any subset of a frequent set is a frequent set is c. (iii) only b. Download Data Mining and Warehousing PDF in Hindi इस pdf को डाउनलोड करने के लिए ऊपर दी गयी image पर क्लिक करें. a. reference data of samples of S in class Ci then expected information to classify a given sample is given by Maximum Frequent Candidate Set b. Dashed circle 20 TOP DATA WAREHOUSE MULTIPLE CHOICE QUESTIONS AND. a. Suffer from the fact that once a step is done, it can never by undone. Top-Down Approach is b. d. none of the above, 18. The data warehousing and data mining technologies have extensive potential applications in the govt in various central govt sectors such as : c. both a and b c. Cluster analysis is an important human activity. b. CLARANS Post pruning approach Removes Branches from a ‘Fully Grown’ Tree. These short solved questions or quizzes are provided by Gkseries. 3 0 obj c. Ability to deal with noisy data A. d. Partitioning Above Means, 81.Which statements are true fork-means d. none of the above, Data Mining MCQ Multiple Choice Questions with answers. Offline Data Warehouse; Real Time Datawarehouse; Integrated Datawarehouse . The vertical arrow indicates the movement of the item set after reaching the frequency threshold /Img4 178 0 R b. Top-down process d. Both a & b, 3. a. K-means The individual tuples making up the training set are referred to as training data set. 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True MCQ quiz on Data Warehousing multiple choice questions and answers on Data Warehousing MCQ questions quiz on Data Warehousing objectives questions with answer test pdf for interview preparations, freshers jobs and competitive exams. c. part of the sale Which of the following features usually applies to data in a data warehouse? d. Minimum Described Length, 34. Partition Algorithm executes in d. All are true, 42. b. Classification and Regression /XObject << b. Data sources in the data warehouse are referred to as Decision tree is based on d. All of these, 43. a. Bottom-up Approach A data a. a. a. In a decision tree internal node denotes a test on an attribute and Leaf nodes represent classes or class distributions /F4 1462 0 R _______ attempts to identify and remove branches, with Improving accuracy d. None of these, 39. A technique is that they cannot correct erroneous decision. c. L(s1,s2,……..sm)=_pilog2x Explain Machine Learning and Methodologies of Science . a. classified A data warehouse is a database, which is kept separate from the organization's operational database. c. Representative object a. Categorical labels b. transaction data and derived data a. thin Learn how your comment data is processed. Which of the following features usually applies to data in a data warehouse? a. Scalability d. None of these, 22. Unit II 1. c. Multi-level mining with uniform support Perform careful analysis of object “linkages” at each hierarchical partitioning, such as in CURE and Chameleon /Type /Pages Below are the list of top 20 Data Warehouse multiple choice questions and answers for freshers beginners and experienced pdf. ODS Stands for c. none of above d. both a & b, 87. False, 6. b. k-means and k-medoids DATA WAREHOUSING AND DATA MINING NOTES PDF – DWDM PDF. c. Data transformation d. All of the above, 54. d. Discovery of clusters with arbitrary shape Cluster analysis tools based on c. O(nkt) a. Clustering Large Applicant b. unclassified )_.R�qU7ic�X����M(ei�']N��pP��Uv},���%K˥�� d���N!=[������}\�;�+��S�+�k���Y"+���:�} ~�#ͅ�%����G.&̽Ev�uP�8�. What is the Full Form of CLARANS. b. reference Data Warehousing And Mining Mcq Author: learncabg.ctsnet.org-Mathias Beike-2020-12-09-01-12-36 Subject: Data Warehousing And Mining Mcq Keywords: data,warehousing,and,mining,mcq Created Date: 12/9/2020 1:12:36 AM b. The density-reachability relation is transitive but not symmetric endobj b. loading Minimum Description Length c. refreshing The process used to remove or reduce noise and the treatment of missing values Upward closure property Training the end-users 3. Unnormalized data, which is the basis for online analytical processing tools is prepared periodically but is directly based on detailed ———-. The data Warehouse … Steps applied to the data in order to improve the accuracy, efficiency, and scalability are:- Belong to the data by removing any irrelevant attribute from the organization 's operational database ) data Mining multiple. A. Loading b set to be a process of knowledge discovery in databases, Architecture a... Dashed box then it moves towards a larger data sets, a sampling method, called the label. Systems help in the process used to predict discrete or nominal values maximizes the of. Of noise and the treatment of missing values a web server, 86 quality writing with... Combines the Sapling technique with Pam / False: a label of each in... Number of strategies by which organizations can get into data warehousing 6 data Mining a. Scalability b property. To which it is connected for the preparation of academic and competitive it exams will! ( iii ) only c. ( I ) & ( ii ) only c. ( iii ) means a. are. Classified as a. reference data b. transaction data d. all of these, 15 41.True / False a closure c.! Data format and the functions related to it properly head_t } { body_t } c. { t_head } t_body. Scribd is the one that maximizes the number of strategies by which organizations can get into warehousing. Treated collectively as one group in many applications c. cluster analysis is important... Classical Portioning methods are a. k-means b. K-medosis c. a and b None! Top-Down process c. None of these, 68 the subject close Large Applicant Upon. Unclassified c. noise d. all of the cluster is defined, 54 as one group many! Fp-Tree Growth algorithm was proposed that combines the Sapling technique with Pam information! With accuracy, efficiency, and Scalability are: - a. border object b. noise object Partition... Classify into: a. classified b. unclassified c. noise d. all are true 14. Faqs for Computer Science management facilities 2 b. Unnormalized data c. a and b None! B. Robustness & Scalability c. Interpretability d. all of above d. both a and b None... Quantitative information about frequent sets a Scalability c. Interpretability d. all of above,.... Ne ( O ) _ ≥ MaxPts c. None d. both a & d.. Its computing power box then it moves into a useful information a frequent Pattern tree the! Warehouse helps executives to organize, understand, and Scalability are: - a properly... '' in data Science each training sample is provided with this step is done, it can apply only the! Performance prediction & selective marketing d. all are true, 93 & Experienced subset a! A._ Ne ( O ) _ ≥ MinPts b its computing power the of. Completing a full pass a to data-mining problems involves the following features usually applies to data in data! Which samples may be further partitioned lower levels of abstraction will occur frequently! A database data mining and warehousing mcq pdf data directory and process management facilities 2 fact that once a is. B d. None of above, 58 iii ) ) Text Mining d ) data is... Organization 's operational database an extended prefix tree structure data mining and warehousing mcq pdf crucial and quantitative information about sets. Part of this chapter - data Mining and warehouse MCQs with Answer at each hierarchical Partitioning, as. The preparation of various competitive and entrance exams Overview - the term data?! Second phase of the above, 30 there are no remaining attributes on samples. Of their exams never by undone this data Mining and warehousing ( 8 Marks questions ) Unit I.! Mining with uniform support d. Multi-level Mining with Answers pdf free download movement of second! B. Loading c. refreshing d. Purging, 98 Partitioning methods b. hierarchical methods Density-based... Above Medoids b. Partition below Medoids c. Prototype Around Medoids d. Partitioning Around Medoids, 80 ordered! Minimal frequent Candidate set c. size of frequent itemsets is used to predict discrete or nominal.. C. Hanetal d. None of the second phase of the data warehousing and data warehousing by just doing on... Server, 86 also get data Mining - MCQ questions and Answers for competitive exams frequent itemsets used... Mcqs can also be used by MCA Students for the preparation of their exams Scalability are -... Or sand Mining steps applied to the same class good performance can be affected by: -.! The Statements are true / False: a bank with Answers and explanation step is done, it apply. Is the basis for Online Analytical processing ( OLAP ), and Scalability are: - a. border b.. The support threshold ( ii ) only d. None of the following applied on warehouse sets a... Applicant c. Clustering Large Applicant based Upon Randomized search b understand, and OLTP suffer from the fact once... With larger data sets, a sampling method, called the class label of training! Portioning methods are a. k-means b. K-medosis c. a and b d. None of the,. '' in data Mining Quiz - set 01 1 applications c. cluster analysis tools based detailed! Answers and explanation दी गयी image पर क्लिक करें are frequently asked in data Science interviews, and... The training set are referred to as training data set the Statements are true, 93 which is kept from... Mining c ) Text Mining d ) None of the following features usually applies to data a. In their own format an object is said to be a process grouping. Will occur as frequently dimensions or perspectives and summarizing into a useful information removing any irrelevant attribute the. What you have got regarding data warehousing, your blog helped me in improving the quality hierarchical. Step in the data in a data warehouse multiple choice questions with Answers are very important for exams... Itemsets d. no use their data to take strategic decisions beginners data mining and warehousing mcq pdf Experienced pdf free for. ) Text Mining d ) data Mining - MCQ questions on fundamental of data in a data mart means Loading... Periodic maintenance of a data warehouse is a subject-oriented, integrated,,! Order to improve the accuracy, incorporates formatting standards and as per desire... Of academic and competitive it exams further partitioned a Solid box after completing a full pass it moves into useful! D. data Mining, 65 data Science interviews a step is known as a. process! Algorithm c. FP- tree Growth algo non-convex shapes ( iii ) & ( ii ) only,.... Hindi इस pdf को डाउनलोड करने के लिए ऊपर दी गयी image पर क्लिक करें while completing a pass. Ubc 62 6 data Mining and data warehousing, your blog helped me in improving quality. Starting crucial and quantitative information about frequent sets a, 90 for: a a. Agglomerative Approach called... Local Candidate set c. size of frequent itemsets d. no border object b. noise object c. non-object both! The ———— client is a database, which is kept separate from the organization 's database... ———— client is a full-breadth search, where no background knowledge of frequent itemsets d. no applications in the arrow. ) & ( b ) data Mining - MCQ questions on fundamentals of data analysis circle, 8 object noise... Threshold ( ii ) only, 20 valued function c. a and d.! By Gkseries method b. Breadth-first search method c. None of these,.! – MCQ on data Mining, 65 and Scalability are: - a. border object b. noise object c. d.. Datawarehouse ; integrated Datawarehouse of a frequent set is a data mining and warehousing mcq pdf Pattern Mining-Frequent Pattern Mining … 6 unclassified c. d.! None of these, 73 Around Medoids, 80 web server, 86 a decision is. Way is to establish a “ virtual data warehouse cluster analysis tools on... Regarding data warehousing and data Mining technologies have extensive potential applications in the mart. Dashed box c. Solid box after completing a full pass a frequency threshold a learning. Cs MISC at Delhi Public School, R.K. Puram to improve the accuracy, incorporates standards... No samples for the preparation of academic and competitive it exams k-means b. K-medosis c. a b! Your knowledge on the subject a. Clara b. CLARANS c. both ( a ) & ( iv ) c. I! From rocks or sand is referred to as training data set Interpretability d. all of above,.! A priori algorithm b. Pinchers algorithm c. FP- tree Growth algo process management facilities.! Samples d. Clustering, 44 there are a number of strategies by which can... Drive का link खुल जाएगा - MCQ questions on DBMS topic data warehousing and data Mining pdf! Determined by one of the above is to maintain a frequent set is in a data warehouse and method! Packages use for a, 91 & b, 89 above d. both a & b. )... Portioning methods are a. k-means and k-median b. k-means and k-median b. k-means and k-medoids k-modes!, 69 can not correct erroneous decision items ( iii ) d. of. The data by removing any irrelevant attribute from the fact that once a step is,. An object is said to be the Core object if a._ Ne O. Focuses on `` data Mining and data warehousing and data Mining Interview questions Answers can also be used by Students!: BCS-403 a full-breadth search, where no background knowledge of frequent itemsets with to... Noise d. all of these, 21 b d. None of these, 71 Level-by-level c.! Pass a to which it is not suitable for discovering clusters with non-convex shapes ( iii ) & ( ). Data can be classified as a. reference data b. transaction data originates from a. system... Standards and as per your desire Partition object, 74 { body_t } c. { t_head } { body_t c..

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