Which statement about data mining is NOT true?

Question

BlackTom AI · Accepted Answer

Data preparation and understanding consume the majority of effort in data mining projects, so the statement that "constructing the data mining model takes the greatest amount of time and work" is NOT true.

1) Relevant knowledge points and concepts
- CRISP-DM phases: Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment.
- Empirical rule for effort distribution: Data Understanding + Preparation commonly require the largest share (often 60–80%), while Modeling itself is typically a smaller fraction (often 10–30%).
- Data scrubbing (cleaning), feature selection, and aligning variables to business goals are essential prerequisites for effective modeling.

2) Step-by-step reasoning
- Step 1: Business goals must be clear; without this you cannot define success criteria or target variables.
- Step 2: Identify and collect necessary variables; this directs what data to clean and transform.
- Step 3: Data is examined and scrubbed (outliers, missing values, inconsistent formats), which is time-consuming.
- Step 4: After data is prepared, modeling is performed more efficiently because inputs are ready.
Therefore, the heaviest workload lies in the early CRISP-DM stages, not in model construction.

3) Example calculation with intermediate steps
Assume a 100-hour project as a simple model:
- Data Understanding + Preparation = 70 hours (60–80% typical)
- Modeling = 20 hours (10–30%)
- Evaluation/Deployment = 10 hours
These intermediate allocations show modeling is substantially less time-consuming than preparation.

4) Why the correct answer is correct
Because industry experience and the CRISP-DM framework indicate data cleaning and preparation are the most labor-intensive tasks, claiming the modeling step takes the greatest time is false. Thus that statement is NOT true.

5) Why other options are incorrect
- "Having a comprehension of the goals and objectives... is vital": True — business understanding drives the project.
- "Identifying the necessary variables... is extremely important": True — correct features determine success.
- "Data collected is usually scrubbed before use.": True — scrubbing is standard practice.
- "None of the options listed": Incorrect because one option is indeed NOT true.

6) Conclusion
The correct choice is "constructing the data mining model takes the greatest amount of time and work," matching the provided answer.

Which statement about data mining is NOT true? 单项选择题

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