How’s it going, guys? Are you ready for another pill from our #IP Dictionary series?

Last time we’ve discussed Big Data — mountains and mountains of structured and unstructured data. And we’ve also mentioned that Big Data is only valuable when it’s processed. Well, today we want to get into more details about how Big Data can be processed.

Data mining is the process of analyzing hidden patterns in raw data such as groups of data records (cluster analysis), unusual records (anomaly detection), and dependencies (association rule mining, sequential pattern mining). By using software to look for patterns, a data mining process basically means examining large existing data in order to generate new information.

Customer-centric companies are the primary users of data mining tools and processes. They use it to segment their audience and to develop more effective business or marketing strategies, identify relationships between price, product, economic indicators, customer demographics, as well as increase sales and decrease costs.

Data mining is the analysis step of the “knowledge discovery in databases”. Without data mining, all the raw data that we generate every minute would remain just that, raw data.

Easy, peasy, lemon, squeezy? Don’t forget to check out our blog for the rest of the pills in our series. And if you haven’t already, check out our previous posts: Internet Governance, Internet Protocol, IP Utility, IPv4 Address Exhaustion, IPv6 Address, Internet of Things, and Big Data. And if you have any other terms you’d like us to explain, just leave us a comment below and we’ll have them explained for you!

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See ya!