Big Data Analytics: Nostradamus Of The 21st Century

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6a6bfc9a8a7450bcdc06ae818eeddd7d Big Data Analytics: Nostradamus Of The 21st Century

With often of the debate as to whether Donald Trump or Mountaineer Clinton would win the election taking habitat online, people blogging, tweeting or updating societal media with their thoughts on the theme provided data researchers with a prosperous source of information about what persons were thinking and feeling about the choosing race.

Associate Prof Stantic was so undeniable in the result that he publicly announced his augury even for the known swing states – and his estimation for all swing states were right.

“My algorithms showed understandably to me that based on past patterns and tenderness in social media that Trump, by Nov 8, would take over the advantage, despite only having a 10 per centime chance to win according to all polls at that generation,” he said.

“In a public address on big collection the day before I even correctly identified all principal states that Trump would win (including Florida, Due north Carolina and Pennsylvania). Someone in the audience quick checked online and said according to voting Hilary was 84 per cent favourite.

“I answered that persons are likely to be more honest when important friends rather than answering figures. It is scary how accurate prediction can be done by analyzing social media.”

When Griffith’s Big Counsel and Smart Analytics Lab analysed comments on Cheep towards the end of July, it predicted that if the US Statesmanlike election had been held at that bit, Trump would have been the contestant over Clinton. Those results were common at the time in an article on The Conversation.

The same lab victimisation the same method predicted and announced in a accepted lecture a week before the Australian fed election that the Coalition would win complete the ALP.

Over the past several years, statesmanlike elections have served as great testbeds in common media, big data, and analytics, which can go into eager detail on how campaigns use this information to get out more about voters. “Much analytics can provide much more true information than telephone polling, chiefly in a day and age where people have caller ID and don’t keep landlines,” Associate Prof Stantic aforementioned.

“This is why the polls leading up to the election had much inconsistent results.”

“The amount of data that all of us mother is truly staggering, and it is continuing to grow. This publically available data is secret treasure of dope if we know how to discover it.”

Associate Professor Stantic aforementioned big data analytics is a discipline faced with the gainsay of managing the sheer volume of data and movement it into something useful.

“It makes prognosis about the future based on the patterns of the elapsed, and finds relationships buried in the data that no one has detected.”

Similar predictions about the environmental interchange of Great Barrier Reef based on ‘Android Sensors’ and Gold Coast traveler satisfaction have been done on scheme funded by National Environmental Science Announcement and City of Gold Coast.

“To further amend predictive power of Big Data analytics thither is a need for smarter and faster algorithms to about deep learning on the large volumes of facts drawn from diverse, and we are working on it.”

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