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ISDS EXAM 4 QUESTIONS AND 100% CORRECT ANSWERS
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ISDS EXAM 4 QUESTIONS AND 100% CORRECTANSWERS 2024-2025
Data Mining - ANSWER A way to develop intelligence-i.e., actionable information or
knowledge-from data that an organization collects, organizes, and stores.
What new factors have recently increased the popularity of data mining? - ANSWER
General recognition of the untapped value hidden in large data sources.
What four major types of patterns does data mining seek to identify? - ANSWER 1.
Associations
2. Predictions
3. Clusters
4. Sequential Relationships
What four steps does data preprocessing include? - ANSWER 1. Data Consolidation
2. Data Cleaning
3. Data Transformation
4. Data Reduction
Data Consolidation - ANSWER Access, Collect, Select and Filter the data
Data Cleaning - ANSWER Handling missing data, removal of noise, error correction
Data Transformation - ANSWER Normalization of the data, aggregation of the data,
Construction of new attributes.
, Data Reduction - ANSWER Dimensionality reduction: Reduce number of attributes and
Records; Balance Skewed data
What is arguably the most popular classification technique in the data mining arena? -
ANSWER Decision tree analysis
What is a common myth about data mining? - ANSWER Data mining provides instant,
crystal-ball collections.
Data Mining Tools: The Facts - ANSWER -Use mathematical techniques for extracting
hidden patterns for predictive purposes
-Use patterns in data to develop mathematical rules for predicting outcomes for future
observations
-Used to identify customer buying patterns
Data Mining: The __________ process of identifying valid, novel potentially useful and
ultimately understandable patterns in data stored in structured databases. - ANSWER
Nontrivial
Valid - ANSWER The uncovered patterns should be valid on new data
Novel - ANSWER Previously unknown patterns are uncovered
Potentially Useful - ANSWER The outcome should lead to some business benefit
Another name for data mining: - ANSWER Knowledge discovery
What is the most critical ingredient for data mining which may include soft/unstructured
data? - ANSWER Data
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