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How Data warehousing and Data Mining is useful in terms of MIS?
Wiki User
∙ 10y ago
Data warehousing and data mining are useful in terms of MIS in the sense that they aggregate all the data and keep it together for MIS programming and tests later on.
Wiki User
∙ 10y ago
Data warehousing and data mining contribute to Management Information Systems (MIS) by providing a centralized location for storing and accessing data, enabling users to run complex queries and generate reports for strategic decision-making. Data mining techniques help uncover patterns and trends in the data, allowing organizations to gain valuable insights and make informed decisions based on the information retrieved from the data warehouse. Ultimately, these tools enhance the effectiveness of MIS by facilitating more efficient data analysis and interpretation.
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What is data reduction in terms of data mining?
Data reduction in data mining refers to the process of reducing the volume of data under consideration. This can involve techniques such as feature selection, dimensionality reduction, or sampling to simplify the dataset and make it more manageable for analysis. By reducing the data, analysts can focus on the most relevant information and improve the efficiency of their data mining process.
Where is it possible to learn about data warehousing concepts?
You can learn about data warehousing concepts through online courses on platforms like Coursera, Udemy, and LinkedIn Learning. Additionally, you can read books on data warehousing by authors such as Ralph Kimball and Inmon. Industry conferences and workshops may also provide insights into the latest trends and practices in data warehousing.
What are the short terms of data mining?
Short terms related to data mining include: ML (Machine Learning): The use of algorithms to learn from and make predictions on data. EDA (Exploratory Data Analysis): Analyzing and visualizing data to understand patterns and relationships. Clustering: Grouping similar data points together based on certain criteria. Regression: Predicting a continuous outcome based on input variables.
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.
How Data Mining is useful in MIS?
Data mining in Management Information Systems (MIS) helps organizations to identify trends and patterns within their data that can be used to make better strategic decisions. By analyzing large datasets, data mining can uncover insights that may not be immediately apparent, helping businesses to optimize their operations, improve forecasting accuracy, and enhance decision-making processes.
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Differentiate between Data Mining and Data Warehousing
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.
What is datahousing?
Data warehousing emphasizes the capture of data from diverse sources for useful analysis and access, but does not generally start from the point-of-view of the end user who may need access to specialized, sometimes local databases.
What is the best institute for data warehousing training in Bangalore?
Flint solutions is one of the major institutes in Bangalore to teach data warehousing. Big data also now competes with Data warehousing.
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 responceblity data warehousing proffeshionel?
what role should HIM professionals play in data warehousing development
What is the history of business intelligence and data warehousing?
Because businesses wanted to integrate their data, data warehousing was born. Dating back to the late 1980s, data warehousing is simply a single system that stores all of a company's data.
What is the name of the application used for searching sifting and reorganizing pools of data to uncover useful information?
data mining
What is ATM data base system?
Data Warehousing
Virtual seminar on data warehousing by keysoft solutions?
Interested in learning about Data Warehousing? Attend a virtual seminar on Data Warehousing given by our AI bot, Tom. http://www.keysoft.co.in/virtualcourse.aspx (note: you will need audio output)
