De bvik member color x px dpi rgb ihk ausbildungslogo heydata trusted logo current in the blog proven tips and tricks how to attract many webinar participants hey chatgpt tell me more about yourself tips and mistakes for successful email marketing stay informed on our b b smart data blog we inform you about the topics smart data digital sales database marketing machine learning analytics as well as current trends and technologies. You can now subscribe to the blog via email connect with us our app app storeplay store cookie setting remove cookies b b smart data gmbh privacy imprint terms and conditions skip to content b b smart data logo home solutions best practices references about us knowledge what is data mining definition and thematic classification ardiana gervalla avdija.
Is data mining decision relevant data are now whatsapp mobile number list collected by many companies in a central database. In view of the amount of data stored there however manual analysis is usually no longer possible. Knowledge discovery in databases kdd processes with the core step of data mining are required here which can determine previously unknown relationships and patterns in the data. But what exactly is data mining we live in an expanding universe of data in which there is too much data and too little information. Adriaans and zantinge this quote summarizes the problem many companies face today and makes it clear that there is a difference between data and information consists. Nowadays companies do not face the challenge of receiving too little data.
On the contrary it is difficult to filter out the right relevant information from large amounts of data for decision making and to identify the opportunities and threats. So the central question is how to get useful information or actionable knowledge from large databases the solution data mining kdd knowledge discovery in databases.What is data mining data mining explanation data mining is the systematic logging and evaluation of mass data or big data. With data mining new and strategically valuable insights are derived from existing information. The main task of data mining experts is therefore to find hidden connections in large databases that are useful for companies or research institutions. So the purpose of data mining is to find trends and patterns in the market and consumer behavior in order to take appropriate action. What is unique about data mining is that no prior assumptions are required.