37 Questions
What is the main focus of Data Analytics according to the text?
Deriving meaningful insights from raw data
What is the primary task of Data Mining as described in the text?
Deriving crude but essential insights from data
Which 'V' is primarily concerned with data quality, accuracy, and availability in Big Data Architecture?
Veracity
What distinguishes Small Data from Big Data according to the text?
A dataset whose volume allows processing by a small organization
In the context of Data Analytics, what does 'consolidating multiple sources' refer to?
Creating a centralized data hub
What is highlighted as one of the most crucial aspects for successful Data Analytics according to the text?
The quality of collected data
What is the key principle behind the A priori algorithm?
If an itemset is frequent, all of its subsets must also be frequent
What is the purpose of step 1 in the Frequent Pattern Mining Algorithm?
Find frequent itemsets based on a minimum support threshold
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
What is the primary function of support-based pruning in frequent itemset generation?
To reduce the search space based on the support threshold
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
What property ensures that trimming based on support is effective in reducing search space?
Anti-monotone property
What does the Dunn Index measure in clustering?
Average distance between clusters
What does the Corrected Rand Index measure?
Similarity between two partitions
What does the Silhouette coefficient measure in clustering?
How well an observation is clustered
What does a negative Silhouette coefficient indicate?
Incorrect cluster assignment
In terms of clustering validation, what do most indices combine?
Compactness and separation measures
How is the Silhouette width interpreted when it is close to 1?
Well-clustered observations
What does the coefficient of variation measure?
Spread or variability of observations
In data analytics, what is the purpose of computing the interquartile range?
Describes spread or variability
What does the Support count measure in frequent pattern mining?
Number of transactions containing an itemset
What is the purpose of Descriptive Statistics in data analysis?
Summarize characteristics of a population or sample
Which measure describes where the center of a distribution lies?
Mean
What is the purpose of Ratio in descriptive statistics?
Expresses size comparison between measures
In binary representation of transactional data, what do the rows and columns correspond to?
Rows: Transactions, Columns: Items
What do measures of shape like Skewness and Kurtosis describe?
Symmetry and concentration around the peak
What is the primary application of Frequent Pattern Mining in data analytics?
Discovering interesting relationships hidden in large datasets
What measure reflects the relative position of an observation in a distribution?
Interquartile range
What is the primary goal of a method or technique?
To achieve an intended goal
Which visualization technique is most suitable for representing distributions of values for attributes?
Box-and-Whiskers Plot
What is the main purpose of Descriptive Analytics?
To summarize and understand past data
Which type of visualization is typically used for nominal scales with less than six categories?
Bar Chart
What does a Line Chart primarily show?
Trends, patterns, and forecasts
Which visualization technique is suitable for comparing amounts of attributes collected over time?
Bar Chart
What is the cardinality related to in data visualization techniques?
Uniqueness of data values in an attribute
Which visualization technique is best for showing how quantitative attributes change over time?
Line Chart
Which visualization technique is best for displaying the distribution of values for attributes?
Box-and-Whiskers Plot
Explore the differences between Data Analytics and Data Mining in terms of focus, process, and tasks involved. Learn about building models and providing valuable information in Data Analytics, and about data collection and deriving insights in Data Mining.
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