A brief history of data mining
AI & DATA ANALYTICS
Natural Language Processing , or NLP , as above . This method helps machines to ‘ read ’ text , or speech , by simulating the human ability to understand a natural language such as English . The technology has come of age over the last ten years , with products such as Siri , Alexa , and Google ’ s voice search employing NLP to understand and reply to user requests . More sophisticated applications have been developed in medical research , risk management , customer care , insurance , ( ie fraud detection ), and contextual advertising . Today ’ s NLP systems can analyse unlimited amounts of text-based data without fatigue and in an unbiased manner . Given the huge quantity of unstructured data produced every day , from electronic records to social media posts , this type of automation is critical to analysing text-based data .
This use of advanced analytics offers a real opportunity within specifically the pharmaceutical and healthcare industries ,
A brief history of data mining
The term " Data mining " was introduced in the 1990s , but data mining is the evolution of a field with a long history .
Early methods of identifying patterns in data include Bayes ' theorem ( 1700s ) and regression analysis ( 1800s ). The proliferation , ubiquity and increasing power of computer technology have increased data collection , storage and manipulations . As data sets have grown in size and complexity , direct hands-on data analysis has increasingly been augmented with indirect , automatic data processing . This has been aided by other discoveries in computer science , such as neural networks , clustering , genetic algorithms ( 1950s ), decision trees ( 1960s ), and support vector machines ( 1990s ).
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