Clustering is a commonly considered data mining problem in the text domains. The problem finds numerous applications in customer segmentation, ...

Clustering data is the process by which you can analyze the data based on their behavior. Data possessing similar behavior would be analyzed together, because it helps the user to draw conclusions on ...

Data mining uncovers patterns in large data sets, revealing valuable insights for decision-making.

Data analysis and data mining tools use quantitative analysis, cluster analysis, pattern recognition, correlation discovery, and associations to analyze data with little or no IT intervention.

MarketingProfs analyzes the nine most common data mining techniques used in predictive analytics, giving marketers a better way to drive success.

Faulty data mining makes seeking of decisive information akin to finding a needle in a haystack. Here are some tips to tweak your data mining exercises.