0
Want this question answered?
Be notified when an answer is posted
Add your answer:
Earn +20 pts
Difference between data mining and database?
Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three years,[1] data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Database is just the system that holds all the data. Or: "A database is a structured collection of records or data that is stored in a computer system." http://en.wikipedia.org/wiki/Database http://en.wikipedia.org/wiki/Data_mining
What is Data Warehousing and Data Mining?
data warehouse A data warehouse is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems. data mining The development of computational algorithms for the identification or extraction of structure from data. This is done in order to help reduce, model, understand, or analyze the data. Tasks supported by data mining include prediction, segmentation, dependency modeling, summarization, and change and deviation detection. Database systems have brought digital data capture and storage to the mainstream of data processing, leading to the creation of large data warehouses.
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 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.
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 is the purpose of data mining services?
Data mining is the application of computational techniques to obtain useful information from a large data. When applied to different situations data mining can reveal information and valuable insights about patterns. Examples of data mining applications are Fraud detection, customer behaviour, customer retention.
What is directed data mining and undirected data mining in database?
Directed data mining involves using predefined goals or objectives to guide the analysis and modeling of data. In contrast, undirected data mining aims to discover patterns or relationships in data without specifying a particular outcome in advance. Directed data mining is typically used for tasks such as classification and regression, while undirected data mining techniques include clustering and anomaly detection.
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
What are the seminar topics related to data mining?
Some seminar topics related to data mining could include: Introduction to data mining techniques and algorithms Applications of data mining in business intelligence Big data analytics and data mining Ethical considerations in data mining and privacy protection.
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.
Difference between data mining and database?
Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three years,[1] data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Database is just the system that holds all the data. Or: "A database is a structured collection of records or data that is stored in a computer system." http://en.wikipedia.org/wiki/Database http://en.wikipedia.org/wiki/Data_mining
What is Data Warehousing and Data Mining?
data warehouse A data warehouse is the main repository of an organization's historical data, its corporate memory. It contains the raw material for management's decision support system. The critical factor leading to the use of a data warehouse is that a data analyst can perform complex queries and analysis, such as data mining, on the information without slowing down the operational systems. data mining The development of computational algorithms for the identification or extraction of structure from data. This is done in order to help reduce, model, understand, or analyze the data. Tasks supported by data mining include prediction, segmentation, dependency modeling, summarization, and change and deviation detection. Database systems have brought digital data capture and storage to the mainstream of data processing, leading to the creation of large data warehouses.
What are the key relationships between data warehouse and data mining?
Data warehouse is the database on which we apply data mining.
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 is data mining in data processing?
Simply, Data mining is the process of analyzing data from several sources and converting it into useful data.
