In the objective space, N m uniformly distributed reference vectors are generated first (Zhang & Li, 2008), denoted as V = v 1, v 2, …, v N m. Then, the population is clustered based on these reference vectors. We use the cosine value of the angle between two vectors in the objective space as the similarity measure of these two …

Based on this approach, the essence of mining big geodata includes four aspects. First, flow space, where flow replaces points in traditional space, will become the new presentation form for big ...

Two methods used in mining are _____ (a) Surface mining and subsurface mining (b) Surface mining and open cast mining (c) Underground mining and Underwater mining (d) None of the above : 8. The downward movement of a wet soil is also called as ____ (a) Slump (b) Creep (c) Solifluction (d) Rock topple: 9.

4. T F In association rule mining the generation of the frequent itermsets is the computational intensive step. Multiple Choice Questions 5. In the figure below, there are …

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Data Mining Questions with Answers. 1. How much percentage of the interesting information can be obtained by using SQL. 2. The un-normalized relation containing all attributes that exist in database is. actual relation. transparent relation. verified relation. universal relation.

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In this context, driven by the question of how AI approaches can help communities in societal development, environmental sustainability, and economic growth when it comes to the mining industry, we discuss the use and applicability of AI in the mining sector, what ethical considerations need to be discussed alongside the use, and …

DATA MINING Objective type Questions and Answers. 21. Classification accuracy is. A. A subdivision of a set of examples into a number of classes. B. 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.

The mining method associated with the production of intact blocks of rock called dimension stone. A mining method that is commonly used in mining marble. A surface mining operation that involves the extraction of natural resources, typically rock, stone, sand, gravel, or minerals called stone or aggregates.

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Data Mining Questions and Answers – Data Cleaning and Data Integration – Set 3. This set of Data Mining Multiple Choice Questions & Answers (MCQs) focuses on "Data Cleaning and Data Integration – Set 3". 1. What are the expected values for the attributes No. of hours studied and Marks scored? Student. No of hours Studied.

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These data mining and data warehousing interview questions and answers could most probably be asked in your interview. 1. What is the Scope of Data Mining? It helps automate the process of analyzing and identifying predictive information in a huge amount of databases and datasets.

8. The concept of "minimum support" in association rule learning refers to: a) The minimum number of transactions an itemset must appear in. b) The minimum number of items in an itemset. c) The minimum confidence threshold for generating rules. d) The minimum lift value for an association rule. View Answer.

The objective, connotations and research issues of big geodata mining were discussed to address its significance to geographical research in this paper. Big geodata may be categorized into two domains: big earth observation data and big human behavior data. A description of big geodata includes, in addition to the "5Vs" (volume, …

quent itemset. The upcoming questions test whether you computed the labels correctly. The lattice provided here can be used as a draft, and doesn't need to be handed in. Only the answers to the multiple choice questions are relevant. Given a transactional database with the following itemsets over fA;:::;Eg, and a minimal support minsup = 0:3 ...

8. Choose the most suitable answer for Gathering: A. lt is a opencast mining method. B. lt is a underground mining method. C. lt is a mining method, which is used for coal winning. D. lt is a underground mining method used for small rich ore bodies. 9. Strip mining is a method of: A. Underground mining.

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Check Answer. 16: You are a credit risk manager of a retail bank. Some information about customers are available to analytics. Based on this data you have to decide that a person will be a good or bad customer. Choose the appropriate data mining task for this business problems. A. Classification.

C. Supervised learning. Click to see the correct answer. 4. In addition to machine learning and artificial intelligence, which branch of mathematics is the foundation of data mining? A. Linear algebra. B. Geometry. C. Statistics. Click to …

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It also shows proficiency in using advanced tools and software for geological modelling and mine planning, which can enhance productivity and efficiency in mining projects. 2. AutoCAD. AutoCAD is a crucial skill for a mining engineer as it involves creating and modifying technical drawings and plans.