Recognise Data Mining with 5W1H, Algorithms, Benefits, Limitations and Methods for Finding Insights from Data ! Let's Your Data Show Your Accomplishments Perfectly !!
Abstract: The more data we produce, the more difficult it becomes to make sense of all that data and derive meaningful insights from it. Think of standing among trillions of trees; where do you start analyzing the forest? Data mining provides a solution to this issue, one that shapes the ways businesses make decisions, reduce costs, and grow revenue. Data mining is a computer-assisted process that analyzes large data sets to find patterns and relationships, which can help solve problems and make predictions. Here are some examples of data mining: Marketing Data mining can help companies improve market segmentation, personalize loyalty campaigns, and predict which users are likely to unsubscribe. Fraud detection Banks can use data mining to identify fraudulent behavior and automatically block accounts. Forecasting Data mining can help companies forecast future actions based on patterns and behaviors. Data mining involves a variety of techniques, including: Ano