Data Analytics vs Data Mining Quiz

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What is the main focus of Data Analytics according to the text?

Analyzing external and internal business operations

Building and creating crude hypotheses

Catering data collection and deriving essential insights

Deriving meaningful insights from raw data (correct)

What is the primary task of Data Mining as described in the text?

Building and creating models based on data

Deriving crude but essential insights from data (correct)

Making the data being used more usable

Analyzing data insights from business operations

Which 'V' is primarily concerned with data quality, accuracy, and availability in Big Data Architecture?

Volume

Variety

Veracity (correct)

Velocity

What distinguishes Small Data from Big Data according to the text?

A dataset whose volume allows processing by a small organization Signup and view all the answers

In the context of Data Analytics, what does 'consolidating multiple sources' refer to?

Creating a centralized data hub Signup and view all the answers

What is highlighted as one of the most crucial aspects for successful Data Analytics according to the text?

The quality of collected data Signup and view all the answers

What is the key principle behind the A priori algorithm?

If an itemset is frequent, all of its subsets must also be frequent Signup and view all the answers

What is the purpose of step 1 in the Frequent Pattern Mining Algorithm?

Find frequent itemsets based on a minimum support threshold Signup and view all the answers

Based on the theorem provided in the text, what can be concluded about the support for subsets and supersets of an itemset?

The support for an itemset never exceeds the support for its subset Signup and view all the answers

What is the primary function of support-based pruning in frequent itemset generation?

To reduce the search space based on the support threshold Signup and view all the answers

Why is it important to apply step 2 (Rule generation) after step 1 (Frequent itemset generation) in the algorithm?

To improve the efficiency of finding strong rules Signup and view all the answers

What property ensures that trimming based on support is effective in reducing search space?

Anti-monotone property Signup and view all the answers

What does the Dunn Index measure in clustering?

Average distance between clusters Signup and view all the answers

What does the Corrected Rand Index measure?

Similarity between two partitions Signup and view all the answers

What does the Silhouette coefficient measure in clustering?

How well an observation is clustered Signup and view all the answers

What does a negative Silhouette coefficient indicate?

Incorrect cluster assignment Signup and view all the answers

In terms of clustering validation, what do most indices combine?

Compactness and separation measures Signup and view all the answers

How is the Silhouette width interpreted when it is close to 1?

Well-clustered observations Signup and view all the answers

What does the coefficient of variation measure?

Spread or variability of observations Signup and view all the answers

In data analytics, what is the purpose of computing the interquartile range?

Describes spread or variability Signup and view all the answers

What does the Support count measure in frequent pattern mining?

Number of transactions containing an itemset Signup and view all the answers

What is the purpose of Descriptive Statistics in data analysis?

Summarize characteristics of a population or sample Signup and view all the answers

Which measure describes where the center of a distribution lies?

Mean Signup and view all the answers

What is the purpose of Ratio in descriptive statistics?

Expresses size comparison between measures Signup and view all the answers

In binary representation of transactional data, what do the rows and columns correspond to?

Rows: Transactions, Columns: Items Signup and view all the answers

What do measures of shape like Skewness and Kurtosis describe?

Symmetry and concentration around the peak Signup and view all the answers

What is the primary application of Frequent Pattern Mining in data analytics?

Discovering interesting relationships hidden in large datasets Signup and view all the answers

What measure reflects the relative position of an observation in a distribution?

Interquartile range Signup and view all the answers

What is the primary goal of a method or technique?

To achieve an intended goal Signup and view all the answers

Which visualization technique is most suitable for representing distributions of values for attributes?

Box-and-Whiskers Plot Signup and view all the answers

What is the main purpose of Descriptive Analytics?

To summarize and understand past data Signup and view all the answers

Which type of visualization is typically used for nominal scales with less than six categories?

Bar Chart Signup and view all the answers

What does a Line Chart primarily show?

Trends, patterns, and forecasts Signup and view all the answers

Which visualization technique is suitable for comparing amounts of attributes collected over time?