What is data mining and not data mining?
Table of Contents
- 1 What is data mining and not data mining?
- 2 Which is not a function of data mining?
- 3 What is a data mining problem?
- 4 Which of the following is not a component of a data warehouse?
- 5 What type of data is used in data mining?
- 6 What are the types of data in data mining?
- 7 What is the difference between data mining and business intelligence?
- 8 What does data mining refer to?
What is data mining and not data mining?
Data mining is about extracting the hidden useful information from the huge amount of data. Data mining is the automated analysis of massive data sets.
Which is not a function of data mining?
…………………. is an essential process where intelligent methods are applied to extract data patterns….
| Q. | Which of the following is not a data mining functionality? |
|---|---|
| A. | characterization and discrimination |
| B. | classification and regression |
| C. | selection and interpretation |
| D. | clustering and analysis |
What is a data mining problem?
Poor data quality such as noisy data, dirty data, missing values, inexact or incorrect values, inadequate data size and poor representation in data sampling. Efficiency and scalability of data mining algorithms to effectively extract the information from huge amount of data in databases.
What is data mining in data analytics?
Data mining is a process of extracting and discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is the analysis step of the “knowledge discovery in databases” process, or KDD.
What is data mining definition PDF?
Data mining is a process of extraction of. useful information and patterns from huge data. It is also called as knowledge discovery process, knowledge mining from data, knowledge extraction or data /pattern analysis.
Which of the following is not a component of a data warehouse?
Discussion Forum
| Que. | Which of the following is not a component of a data warehouse? |
|---|---|
| b. | Data warehouse data |
| c. | Data metadata |
| d. | None of the above are data warehouse components. |
| Answer:Data metadata |
What type of data is used in data mining?
Types of Sources of Data in Data Mining
- Flat Files.
- Relational Databases.
- DataWarehouse.
- Transactional Databases.
- Multimedia Databases.
- Spatial Databases.
- Time Series Databases.
- World Wide Web(WWW)
What are the types of data in data mining?
What do companies use data mining?
Apptopia.
What are some examples of data mining?
The first example of Data Mining and Business Intelligence comes from service providers in the mobile phone and utilities industries. Mobile phone and utilities companies use Data Mining and Business Intelligence to predict ‘churn’, the terms they use for when a customer leaves their company to get their phone/gas/broadband from another provider.
What is the difference between data mining and business intelligence?
Even though they are from the same field, the notions itself are different and should not be compared. Business intelligence is a set of techniques of getting/storing business-related information, while data mining is a process of obtaining the right data out of large datasets. Historically, business intelligence was there long before.
What does data mining refer to?
Data Mining refers to a process by which patterns are extracted from data. Such patterns often provide insights into relationships that can be used to improve business decision making.