Week 1. Introduction to data mining Test 1
1、 问题:Which one is not the description of Data mining?
选项：
答案: 【Appropriate statistical analysis methods to analyze the data collected】
2、 问题:Which one describes the right process of knowledge discovery?
选项：
答案: 【Selection-Preprocessing-Transformation-Data mining-Interpretation/Evaluation】
3、 问题:Which one is not belong to the process of KDD?
选项：
答案: 【Data description】
4、 问题:Which one is not the right alternative name of data mining??
选项：
答案: 【Data harvesting】
5、 问题:Which one is not the nominal variables?
选项：
答案: 【Age】
6、 问题:Which one is wrong about classification and regression??
选项：
答案: 【We can construct classification models (functions) without some training examples.】
7、 问题:Which one is wrong about clustering and outliers?
选项：
答案: 【Clustering belongs to supervised learning.】
8、 问题:About data process, which one is wrong?
选项：
答案: 【When making data classification, we predict categorical labels excluding unordered one.】
9、 问题:Outlier mining?such as density based method belongs to supervised learning.
选项：
答案: 【错误】
10、 问题:Support vector machines can be used for classification and regression.
选项：
答案: 【正确】
Week 2. Data pre-processing Test 2
1、 问题:Which is not the reason we need to preprocess the data?
选项：
答案: 【to make result meet our hypothesis】
2、 问题:Which is not the major tasks in data preprocessing?
选项：
答案: 【Transition】
3、 问题:How to construct new feature space by PCA?
选项：
答案: 【New feature space by PCA is constructed by eliminating the weak components to reduce the size of the data.】
4、 问题:Which one is wrong about methods for discretization?
选项：
答案: 【Clustering analysis only belongs to top-down split.】
5、 问题:Which one is wrong about Equal-width (distance) partitioning and Equal-depth (frequency) partitioning?
选项：
答案: 【The interval of the former one is not equal.】
6、 问题:Which one is wrong way to normalize data?
选项：
答案: 【Simple scaling】
7、 问题:Which are the right way to fill in missing values?
选项：
答案: 【Smart mean;
Probable value;
Ignore】
8、 问题:Which are the right way to handle noise data?
选项：
答案: 【Regression;
Cluster;
WT;
Manual】
9、 问题:Which one is right about wavelet transforms?
选项：
答案: 【The DWT decomposes each segment of time series via the successive use of low-pass and high-pass filtering at appropriate levels.;
Wavelet transforms can be used for reducing data and smoothing data.】
10、 问题:Which are the common used ways to sampling?
选项：
答案: 【Simple random sample without replacement;
Simple random sample with replacement;
Stratified sample;
Cluster sample】
11、 问题:Discretization means dividing the range of a continuous attribute into intervals.
选项：
答案: 【正确】
Week 3. Instance based learning Test 3
1、 问题:What’s the difference between eager learner and lazy learner?
选项：
答案: 【Eager learners would generate a model for classification while lazy learner would not.】
2、 问题:How to choose the optimal value for K?
选项：
答案: 【Cross-validation can be used to determine a good value by using an independent dataset to validate the K values.;
Low values for K (like k=1 or k=2) can be noisy and subject to the effect of outliers.;
Historically, the optimal K for most datasets has been between 3-10.】
3、 问题:What’s the major components in KNN?
选项：
答案: 【How to measure similarity?;
How to choose “k”?;
How are class labels assigned?】
4、 问题:Which one of the following ways can be used to obtain attribute weight for Attribute-Weighted KNN?
选项：
答案: 【Prior knowledge / experience.;
PCA, FA (Factor analysis method).;
Information gain.;
Gradient descent, simplex methods and genetic algorithm.】
5、 问题:At learning stage KNN would find the K closest neighbors and then decide classify K identified nearest label.
选项：
答案: 【错误】
下方是付费阅读内容：本平台商品均为虚拟商品，无法用作二次销售，不支持退换货，请在购买前确认您需要购买的资料准确无误后再购买，望知悉！
完整答案需点击上方按钮支付5元购买,所有答案均为章节测试答案，购买后上方矩形框将出现已付费的隐藏内容。
如果点击【立即购买】不能跳转，请更新一下APP版本，如百度APP可能有兼容性问题，更新版本即可正常使用，或者换一个浏览器（如UC浏览器）再试试
为了方便下次阅读，建议在浏览器添加书签收藏本网页
添加书签方法：
1.电脑按键盘的Ctrl键+D键即可收藏本网页
2.手机浏览器可以添加书签收藏本网页
获取更多慕课答案，欢迎在浏览器访问我们的网站：http://mooc.mengmianren.com
注：请切换至英文输入法输入域名，如果没有成功进入网站，请输入完整域名：http://mooc.mengmianren.com/
我们的公众号
打开手机微信，扫一扫下方二维码，关注微信公众号：萌面人资料铺
本公众号可查看各种网课答案，还可免费查看大学教材答案
点击这里，可查看公众号功能介绍
一键领取淘宝，天猫，京东，拼多多无门槛优惠券，让您购物省省省，点击这里，了解详情