MSIS 4263 Quiz 2

Which of the following is not a supervised machine learning algorithm?

Clustering

The main reason that data mining has gained overwhelming attention in the business world.

Cost of ownership Technological advancements Need of better decision making Availability of data All of these are true

Data mining can be used to predict the result of sporting events to identify means to decrease odds of winning against specific opponent.

False

Data mining is primarily concerned with mining (i.e., digging out data) from a variety of disparate data sources.

False

In banking and finance, data mining is often used to manage microeconomics movements and overall cash flow outcomes.

False

Prediction modeling is often classified under the unsupervised machine learning methods.

False

The original terminology of data mining commonly refers to discovering known patterns in large and structured data sets.

False

The types of patterns discovered with data mining includes all of these, except:

Optimization

Data mining is an essential part of what types of analytics in analytics taxonomy.

Predictive

The critical key terms used in defining data mining includes all of these, except:

Previously known

In data mining, the prediction models further sub-classified into

Regression

In data mining, clustering is classified further into

Segmentation, Outlier Analysis

The primary difference between statistics and data mining is

Statistics starts with a well-defined proposition and hypothesis whereas data mining starts with a loosely defined discovery statement.

CRM aims to create one-on-one relationships with customers by developing an intimate understanding of their needs and wants.

True

Cubes in OLAP are defined as multidimensional representation of the data stored in and retrieved from data warehouses.

True

Data mining leverages capabilities of statistics, artificial intelligence, machine learning, management science, information systems, and databases, in a systematic and synergistic way.

True

Information warfare often refers to identify and stop malicious attacks on critical information infrastructures in literarily any and every organizations and business domains.

True

Manufacturers use data mining to classify anomalies and commonalities in the production system to improve the manufacturing system.

True

Association and clustering type patterns are often classified as the result of

Unsupervised learning procedures

The other names commonly used for data mining includes...

Information extraction Pattern analysis Information harvesting Knowledge discovery in databases All of these are trues