大学MOOC 交通数据挖掘技术（Data Mining for Transportation）(东南大学)1458021173 最新慕课完整章节测试答案
Week 1. Introduction to data mining
Test 1
1、单选题：
Which one is not the description of Data mining?
选项：
A: Extraction of interesting patterns or knowledge
B: Explorations and analysis by automatic or semi-automatic means
C: Discover meaningful patterns from large quantities of data
D: Appropriate statistical analysis methods to analyze the data collected
答案: 【 Appropriate statistical analysis methods to analyze the data collected】
2、单选题：
Which one describes the right process of knowledge discovery?
选项：
A: Selection-Preprocessing-Transformation-Data mining-Interpretation/Evaluation
B: Preprocessing-Transformation-Data mining- Selection- Interpretation/Evaluation
C: Data mining- Selection- Interpretation/Evaluation- Preprocessing-Transformation
D: Transformation-Data mining- election-Preprocessing- Interpretation/Evaluation
答案: 【 Selection-Preprocessing-Transformation-Data mining-Interpretation/Evaluation】
3、单选题：
Which one is not belong to the process of KDD?
选项：
A: Data mining
B: Data description
C: Data cleaning
D: Data selection
答案: 【 Data description】
4、单选题：
Which one is not the right alternative name of data mining?
选项：
A: Knowledge extraction
B: Data archeology
C: Data dredging
D: Data harvesting
答案: 【 Data harvesting】
5、单选题：
Which one is not the nominal variables?
选项：
A: Occupation
B: Education
C: Age
D: Color
答案: 【 Age】
6、单选题：
Which one is wrong about classification and regression?
选项：
A: Regression analysis is a statistical methodology that is most often used for numeric prediction.
B: We can construct classification models (functions) without some training examples.
C: Classification predicts categorical (discrete, unordered) labels.
D: Regression models predict continuous-valued functions.
答案: 【 We can construct classification models (functions) without some training examples.】
7、单选题：
Which one is wrong about clustering and outliers?
选项：
A: Clustering belongs to supervised learning.
B: Principles of clustering include maximizing intra-class similarity and minimizing interclass similarity.
C: Outlier analysis can be useful in fraud detection and rare events analysis.
D: Outlier means a data object that does not comply with the general behavior of the data.
答案: 【 Clustering belongs to supervised learning.】
8、单选题：
About data process, which one is wrong?
选项：
A: When making data discrimination, we compare the target class with one or a set of comparative cla