Clear goals and light up the journey.
First of all, we should make clear the business problems and the purpose of data mining. It's like lighting a lamp in the fog, guiding us.
Carefully prepare the treasure
Next is the data preparation stage. It's like picking out the brightest pearl in the vast ocean and polishing it carefully. We should select the target data set, preprocess the data, ensure the integrity and consistency of the data, remove the noise, fill in the blank and make the data more pure.
Choose wisdom and start digging.
Now that we are ready, the next step is data mining. It's like digging up precious gems with a magic shovel in a well-prepared data mine. We will choose the most suitable algorithm according to the characteristics and functions of the data, and dig its value deeply.
Insight and analysis, * * * reward treasures.
Finally, we should deeply analyze and explain the mining results. It's like polishing a gem into a brilliant work of art, revealing its intrinsic value. We will turn the results of data mining into understandable knowledge and make it really used by users.