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Physics_At_Sea
Physicist from London with special interest in Quantum Mechanics
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COMPUTER SCIENCE
Data Mining
Knowledge Discovery in Databases
The battle between raw data and meaningful insight defines knowledge discovery
12 days ago
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What is the primary distinction between knowledge discovery in databases (KDD) and data mining?
Data mining involves the entire process including data cleaning and visualization, whereas KDD is just the analysis step.
KDD includes the entire process from data preparation to interpretation, while data mining focuses on pattern extraction.
KDD and data mining are exactly the same with no differences in scope or process.
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Stevek113
Author has not completed a profile
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COMPUTER SCIENCE
Data Analysis
Data Mining
Data mining transforms raw data into actionable insights across diverse fields
8 Feb 2026
0
What key decision marked the turning point that established data mining as a crucial discipline in data analysis?
Focusing solely on storing large amounts of data without analysis
Using data mining only for visualizing data without extracting patterns
Developing methods to extract meaningful patterns from massive datasets
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Stevex
Love life
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COMPUTER SCIENCE
Data Science
Data Mining
Data mining uncovers hidden patterns in massive datasets by blending machine learning and statistics
31 Jan 2026
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Which of the following is NOT typically involved in the data mining process?
Data pre-processing and cleaning
Model selection and inference
Physical extraction of minerals from the earth
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Johnbarrow
John from Bartow
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COMPUTER SCIENCE
Data Analysis
Data Mining
Data mining uncovers hidden patterns in massive datasets by blending machine learning and statistics
30 Jan 2026
0
Which of the following is NOT typically considered a part of the data mining process within knowledge discovery in databases (KDD)?
Raw data collection without any preprocessing
Data pre-processing to clean and prepare data
Post-processing and visualization of discovered patterns
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