Optimizing Data Mining for Strategic Decisions Quiz M5

Data Mining: Uncovering Insights in Big Data - Quiz M5 Dashboard / My courses Started on State Completed on Time taken Question 1 Monday, April 5, 2021, 12:35 PM Finished Monday, April 5, 2021, 12:47 PM 11 mins 31 secs How easily the data can be understood is the data quality of the... Correct Marked out of 5.00 Select one: a. Interpretability b. Believability c. Completeness d. Consistency Question 2 Correct statements related to data mining and knowledge discovery Correct Marked out of 5.00 Select one: a. integrating theory and heuristics b. more heuristic c. more focused on hypothesis testing d. more theoretical Question 3 The characteristics of Big Data that continue to grow rapidly in real-time are called Correct Marked out of 5.00 Select one: a. Velocity b. variety c. Volume d. Value Question 4 Classification methods in data mining functions that use estimated values of conditional probabilities are called Correct Marked out of 5.00 Select one: a. Elimination b. Regression c. Naive Bayessian d. Mean 1 Online 1/5 To avoid overlapping test sets, the data is divided into k subsets of equal size then each subset is alternately used for testing and the rest for training. Select one: a. Direct Marketing Paradigm Question 5 b. k-fold cross-validation Correct c. Commulative PCT Hits Marked out of 5.00 d. Model Sorted list Question 6 Method for "natural" clustering of instances given unlabeled data Correct Marked out of 5.00 Select one: a. Visualization b. Association c. Classification d. Clustering Question 7 A method to predict the class of an instance from previously labeled instances Correct Marked out of 5.00 Select one: a. Classification b. Association c. Clustering d. Visualization Question 8 Sequence of steps for classification Correct Marked out of 5.00 Select one: a. Model on training set, Evaluate on testing set (Retrain?), Split data into training and testing sets b. Model on the training set, randomly select the desired number of minority class instances, Evaluate on the testing set c. Evaluate on testing set, Model on training set, Split data into training and testing sets d. Split data into training and testing sets, Model on training set, Evaluate on testing set Question 9 Attributes that contain information such as item_ID, name, brand, category, supplier, place_made and price, are an example Correct of a database type. Marked out of 5.00 Select one: a. Rental b. Social media c. Sales d. Marketing 2/5 Statements that do not match the summarization method Select one: a. Usually in Combination with Deviation detection or other methods Question 10 b. Grouping unlabeled data Correct c. Uses natural language and graphics Marked out of 5.00 d. Describes the features of the selected group Question 11 Methods for presenting the results found in a visually "nice" way Correct Marked out of 5.00 Select one: a. Clustering b. Visualization c. Classification d. Association Question 12 Correct The process of finding new content and content that needs to be updated by sending crawlers to all content found from page links is one of the data mining concepts on Search Engines called Marked out of 5.00 Select one: a. Rank b. Searching c. Index d. Crawl Question 13 Correct Spotting a data object that does not match the general behavior of the data, often used in fraud detection or rare event analysis. Marked out of 5.00 Select one: a. Outlier Analysis b. Association and Correlation Analysis c. Classification d. Clustering Question 14 Correct Regression, Decision Trees, Bayesian, Neural Networks, Naïve Bayes Rules, Support Vector Machines, Genetic Algorithms are approaches that are used for Marked out of 5.00 Select one: a. Association b. Clustering c. Visualization d. Classification 3/5 A type of data mining task that performs class prediction Select one: a. Visualization Question 15 b. Classification Correct c. Association Marked out of 5.00 d. Clustering Question 16 Correct statements related to data mining and knowledge discovery Correct Marked out of 5.00 Select one: a. more focused on hypothesis testing b. looking at real-time learning and robotics c. focus on improving learning agent performance d. focus on the entire knowledge discovery process Question 17 Correct One of the functions of data mining is to find out frequent patterns (or sets of frequent items) such as what items are often bought together at your Walmart. This is known as Marked out of 5.00 Select one: a. Association and Correlation Analysis b. Outlier Analysis c. Classification d. Clustering Question 18 Which is not a clusterization method Correct Marked out of 5.00 Select one: a. Hierarchical vs. flat b. Deterministic vs. probabilistic c. Exclusive vs. overlapping d. Decision Tree Question 19 Improper reference when setting parameters Correct Marked out of 5.00 Select one: a. Test data should be used for parameter tuning b. Test data cannot be used for parameter tuning c. The test data is not used in any way to create the classifier d. The learning scheme operates in two stages: building the basic structure and optimizing the parameter settings. Question 20 Types of data mining tasks that facilitate information retrieval/search for users Correct Marked out of 5.00 Select one: a. Visualization b. Classification c. Association d. Clustering 4/5 Jump to... 5/5