That depends on what you intend to do with it. Let's face it - EVERYONE on the web data mines as this is the definition of 'location information through search.'
If that data-mining crosses the line into taking content or other intellectual property and claiming it as ones' own, I say this is wrong and unethical. Further and as the latest round of intellectual, web based property arrests go (mega-upload and others) this never ends up well for any involved.
Another practice of data mining is 'email scraping' which is actually against SPAM Laws.
mining the data is called data mining. Mining the text is called text mining
CHARECTERISTICS OF DATA MINING CHARECTERISTICS OF 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.
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 can uncover interesting patterns. Some cookies will upload solely for the purpose of data mining.
Data warehouse is the database on which we apply data mining.
Simply, Data mining is the process of analyzing data from several sources and converting it into useful data.
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.
Data mining
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.
difference between Data Mining and OLAP
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.