0
There are various features of Data Mining. Some of them are as follows :-
- Data mining discovers hidden information in your data and also will help marketing companies build models based on historical data to predict who will respond to the new marketing campaigns such as direct mail, online marketing campaign…etc.
- Data mining gives financial institutions information about loan information and credit reporting.Data mining is a powerful tool that can help you find patterns and relationships within your data.
- Data mining can confirm or qualify such empirical observations in addition to finding new patterns that may not be immediately discernible through simple observation.
- Data mining helps government agency by digging and analyzing records of financial transaction to build patterns that can detect money laundering or criminal activities.
Wiki User
∙ 9y ago
Add your answer:
Earn +20 pts
What are the differences data warehouse between data mining?
Data warehouse is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed rather than transaction processing, whereas Data mining is the process of analyzing unknown patterns of data.
What is features of data warehouse system?
data are rarely deleted
What is Sageworks Industry Data?
Sageworks Industry Data is a comprehensive, private company industry data platform that allows users to gather real-time industry data and specific industry recommendations. This product suite includes private company benchmarking, data mining, and industry-specific advice for improvement.
What types of business intelligence software are available?
The most common types of business intelligence software are spreadsheets, reporting and querying software, OLAP, digital dashboards, data mining, data warehousing, decision engineering, process mining, business performance management, and local information systems. Each suits specific needs of a business or individual.
What is the symbol for Buenaventura Mining Company Inc in the NYSE?
The symbol for Buenaventura Mining Company Inc. in the NYSE is: BVN.
Characteristics of data mining?
CHARECTERISTICS OF DATA MINING CHARECTERISTICS OF DATA MINING
Distinguish between Data mining and text mining?
mining the data is called data mining. Mining the text is called text mining
Different types of data mining?
Some different types of data mining include clustering, classification, regression, association rule mining, and anomaly detection. Clustering involves grouping similar data points together, while classification involves categorizing data into predefined classes. Regression predicts a continuous value based on input variables, and association rule mining uncovers patterns in data sets. Anomaly detection identifies unusual or outlier data points.
What services do the data mining company provide?
Data Mining companies provide such services as mining for data and mining for data two electric bugaloo. They will often offer to resort to underhanded tactics to mine said data.
How do you put data mining in a sentence?
Data mining can uncover interesting patterns. Some cookies will upload solely for the purpose of data mining.
What are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
What is data mining in data processing?
Simply, Data mining is the process of analyzing data from several sources and converting it into useful data.
Where can one learn online what is data mining?
One can learn about data mining by visiting the data mining wikipedia page, which has a very comprehensive article about the topic, starting with the etymology and mostly talking about the various uses of data mining.
Which of the following is the computer-assisted process of sifting through and analyzing vast amounts of data to extract meaning and discover new knowledge?
Data mining
What is the difference between OLAP and data mining?
difference between Data Mining and OLAP
What does data mining mean?
The term data mining is generally known as the process of analyzing data from many different perspectives in order to correctly organize the data. Sometimes data mining is also called knowledge dicovery.
Example of mining that refers to business?
data mining
