- The Role Of AI In Cybersecurity – Boon Or Bane?
- Less Than Half Of Cybersecurity Professionals Have A Plan In Place To Deal With IoT Attacks: Study
- Cyberattacks Go Up For Small Businesses Over The Past Year: Study
- Phishing And Credential Stuffing Attacks Remain Top Threat To Financial Services Organizations And Customers: Study
- IT-Based Attacks Increasingly Impacting OT Systems: Study
Data mining is the automated process of sorting through huge data sets to
identify trends and patterns and establish relationships
It’s not just a matter of looking at data to see what has happened in the past to be able to act intelligently in the present. Data mining tools and techniques let you predict what’s going to happen in the future and act accordingly to take advantage of coming trends.
The term “data mining” is used quite broadly in the IT industry. It often applied to a variety of large-scale data-processing activities such as collecting, extracting, warehousing, and analyzing data. It can also encompass decision-support applications and technologies such as artificial intelligence, machine learning, and business intelligence.
Data mining is used in many areas of business and research, including product development, sales and marketing, genetics, and cybernetics—to name a few. If it’s used in the right ways, data mining combined with predictive analytics can give you a big advantage over competitors that are not using these tools.
Nisheeth Bhakuni
