Data Mining Explained With 10 Interesting Stories
Data Mining Explained With 10 Interesting Stories
D0773626 李秋霞
Source: https://www.octoparse.com/blog/data-mining-explained-with-10-interesting-stories
What is your first impression of first heard the word"Big Data"? I think 90% of people would think that big data is really complicated and hard to understand. However, have you ever think about that in fact, big data is always affecting our daily life? Let me introduce some examples I found in this article.
Diaper and beer, we must think that these two products are irrelevant. Nevertheless, the market researcher in Walmart uses big data to found that when male customers visit the baby department to pick up diapers, it's very likely for them to buy themselves a couple of beers. It seems unbelievable but when they really relocated the beers next to diaper, the sales of beers and diapers increased significantly. It shows that big data can really analyze the customer's preference accurately and perfectly increase the sales margin.
Another one is Google built a statistic model by studying 50 million most frequently retrieved words and compare it with the Centers for Disease Control and Prevention’s data of 2003-2008 flu seasons to. The most surprised me is this model has successfully forecasted the spread of winter flu, even specific to states. From this fact, we can know that big data is a really powerful tool. Before I know this fact, I thought big data is only for the company to increase the profit. Unexpectedly, it can also tell us about the flu information. This can really help the society as if we know the flu's trend earlier, we can take some prevention first to protect ourselves.
What is your first impression of first heard the word"Big Data"? I think 90% of people would think that big data is really complicated and hard to understand. However, have you ever think about that in fact, big data is always affecting our daily life? Let me introduce some examples I found in this article.
Diaper and beer, we must think that these two products are irrelevant. Nevertheless, the market researcher in Walmart uses big data to found that when male customers visit the baby department to pick up diapers, it's very likely for them to buy themselves a couple of beers. It seems unbelievable but when they really relocated the beers next to diaper, the sales of beers and diapers increased significantly. It shows that big data can really analyze the customer's preference accurately and perfectly increase the sales margin.
Another one is Google built a statistic model by studying 50 million most frequently retrieved words and compare it with the Centers for Disease Control and Prevention’s data of 2003-2008 flu seasons to. The most surprised me is this model has successfully forecasted the spread of winter flu, even specific to states. From this fact, we can know that big data is a really powerful tool. Before I know this fact, I thought big data is only for the company to increase the profit. Unexpectedly, it can also tell us about the flu information. This can really help the society as if we know the flu's trend earlier, we can take some prevention first to protect ourselves.
Looking at the title of the article, I think it is really interesting topic about Big Data.
ReplyDeleteBut at first I hope that I can read 10 stories, but in your blog ( until now that I am reading) just 2 stories. Your topic is 10, but you just talk 2, how about others 8 stories? It makes me a little disappointed. I go to your link source and this is an amazing topic.
Hope that you can upload more or make a new blog to continue analysis about these stories, especially the story about "Alibaba implemented anti-counterfeit acts by Big Data" and "Use Big data to forecast crime scenes"
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