it's data warehouse....data warehouse: it is a collection of multiple databases or it it is repository of data.data mining it is the process of extracting data from data warehouse.
In directed data mining, you are trying to predict a particular data point - the sales price of a house given information about other houses for sale in the neighborhood, for example.In undirected data mining, you are trying to create groups of data, or find patterns in existing data - creating the "Soccer Mom" demographic group, for example. In effect, every U.S. census is data mining, as the government looks to gather data about everyone in the country and turn it into useful information.
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What is data mining?is data mining another hype?Is it a simple transformation of technology developed from databases, statistics, and machine learning?how the evolution of database technology led to data mining.the steps involved in data mining when viewed as a process ofknowledge discovery.
No. Data mining is more than a simple transformation of technology developed from databases, statistics, and machine learning. Instead, data mining involves an integration, rather than a simple transformation, of techniques from multiple disciplines such as database technology, statistics, machine learning, high-performance computing, pattern recognition, neural networks, data visualization, information retrieval, image and signal processing, and spatial data analysis.
No, data mining is not just another hype. It is a valuable process of discovering patterns and relationships in large datasets to extract useful information and make informed decisions. When utilized effectively, data mining can provide valuable insights for businesses, researchers, and organizations to improve processes and outcomes.
Which computing technology (SSE1 SSE2 SEE3 or SSE4) better supports data-mining applications
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.
CHARECTERISTICS OF DATA MINING CHARECTERISTICS OF DATA MINING
mining the data is called data mining. Mining the text is called text mining
Here are some interesting seminar topics related to data mining: Introduction to Data Mining Techniques – Overview of fundamental techniques like classification, clustering, regression, and association rule mining. Applications of Data Mining in Healthcare – How data mining is transforming patient care, disease prediction, and medical research. Big Data and Data Mining – Integrating data mining with big data tools to extract valuable insights. Data Mining in E-commerce – Techniques for customer behavior analysis and recommendation systems. Machine Learning in Data Mining – Exploring the role of machine learning algorithms in enhancing data mining processes. Data Mining for Fraud Detection – Using data mining to identify fraudulent activities in banking and finance.
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.
Data mining is a very complex process. Most people who use it have formal training, such as a college degree in statistics or information technology. They learn to use software that helps them "mine" the data, and perfect the technique through experience when they get a job.
Identity transform is a data transformation that copies the source data into the destination data without change. The identity transformation is considered an essential process in creating a reusable transformation library.
Data warehouse is the database on which we apply data mining.