The presence of noisy instances in mobile phone data is a fundamental issue for classifying user phone call behavior (i.e., accept, reject, missed and outgoing), with many potential negative consequences. The classification accuracy may decrease and the complexity of the classifiers may increase due to the number of redundant training samples. To detect such noisy instances from a training dataset, researchers use naive Bayes classifier (NBC) as it identifies misclassified instances by taking into account independence assumption and conditional probabilities of the attributes. However, some of these misclassified instances might indicate usages behavioral patterns of individual mobile phone users. Existing naive Bayes classifier based noise detection techniques have not considered this issue and, thus, are lacking in classification accuracy. In this paper, we propose an improved noise detection technique based on naive Bayes classifier for effectively classifying users' phone call behaviors. In order to improve the classification accuracy, we effectively identify noisy instances from the training dataset by analyzing the behavioral patterns of individuals. We dynamically determine a noise threshold according to individual's unique behavioral patterns by using both the naive Bayes classifier and Laplace estimator. We use this noise threshold to identify noisy instances. To measure the effectiveness of our technique in classifying user phone call behavior, we employ the most popular classification algorithm (e.g., decision tree). Experimental results on the real phone call log dataset show that our proposed technique more accurately identifies the noisy instances from the training datasets that leads to better classification accuracy.

A 95-year-old woman dubbed Western Australia's "real life tomb raider" and "Indiana Joan" in a profile earlier this month is now under investigation for how she acquired a trove of ancient artifacts. The woman, Joan Howard, was married to a senior diplomat with the United Nations in the Middle East. In the 1960s and 70s, she volunteered with American and British archaeologists, according to the West Australian. Given her diplomatic status, she traveled to several countries including Syria, Egypt, Lebanon, Jordan, Palestine and Israel looking for ancient artifacts, which she brought home to Perth, Australia. "It was all good fun. But as it turned out, very, very rewarding," Howard told the West Australian.

Companies that are able to adapt to a world where innovation is increasingly driven by machine learning, or artificial intelligence more broadly, are the ones that will come out the other end of the tunnel and thrive, according to Oliver Rees, GM of Torque Data at Virgin Australia. Rees, whose data analytics consultancy firm Torque Data was acquired by Virgin Australia in 2015, told ZDNet that one of its tasks has been "reengineering [Virgin's] analytical capability", ensuring the airline is well-prepared to embrace the opportunities that are offered by machine learning. While not new to machine learning, Virgin Australia has been seeking better methods of developing, applying, and assessing machine learning algorithms, recently turning to Massachusetts-based company DataRobot, which operates on the belief that automated machine learning will not only increase productivity for data scientists, but also open up the world of data science. Rees told ZDNet that Torque, as the data analytics arm of Virgin, has been investigating ways to improve customer experience for members of Virgin's Velocity Frequent Flyer loyalty program. "We want people within our program to be able to redeem points for great experiences, and to do that, we want to be able to better predict when is the best time for particular people to redeem points and what should they be redeeming them against," Rees said.

With December nearly here, I have started to reflect on some of the research that our Frost & Sullivan team in Australia and New Zealand has published this year. Check out the latest findings on how the hype around artificial intelligence could be sowing damaging confusion. Also, read a number of case studies on how enterprises are using AI to help reach business goals around the world. You forgot to provide an Email Address. This email address doesn't appear to be valid.

World's first artificial intelligence politician, named SAM was created by Nick Gerritsen, a 49 year old entrepreneur in New Zealand.the Gerritsen said: "There is a lot of bias in the'analogue' practice of politics right now." "There seems to be so much existing bias that countries around the world seem unable to address fundamental and multiple complex issues like climate change and equality." It is not legal for AI to contest elections. "SAM is an enabler and we plan to operate within existing legal boundaries,"

Elon Musk and Stephen Hawking have repeatedly expressed their concerns over developing Artificial Intelligence (AI) systems, and even warned that they could soon surpass humans and might one day pose a severe threat to the entire humankind. Their concern may be compounded by recent developments, like when a robot named Sophia was last month confirmed in Saudi Arabia as the world's first robot citizen, and now, we have the world's first AI-powered virtual politician from New Zealand known as SAM. It seems the tech titans were not totally wrong as humans are ready to give AI the power to rule us. The world's first AI politician can reportedly answer a person's queries on local issues regarding education, housing and immigration, PTI reported. The AI politician was created by Nick Gerritsen, who said: "There is a lot of bias in the'analogue' practice of politics right now."

Scientists in New Zealand have developed a robot politician whose "brain" is powered by artificial intelligence. This politician, whose name is SAM, is able to answer a citizen's questions about housing, education, and immigration, NDTV reports. According to NDTV, this AI politician was created by a 49-year-old entrepreneur in New Zealand named Nick Gerritsen. "There is a lot of bias in the'analog' practice of politics right now," said Gerritsen about his new invention."There SAM answers questions via Facebook messenger. "My memory is infinite, so I will never forget or ignore what you tell me.

Scientists have developed the world's first artificial intelligence politician, that can answer a person's queries regarding local issues such as policies around housing, education and immigration. The virtual politician, called SAM, was created by Nick Gerritsen, a 49-year-old entrepreneur in New Zealand. "There is a lot of bias in the'analogue' practice of politics right now," said Gerritsen. "There seems to be so much existing bias that countries around the world seem unable to address fundamental and multiple complex issues like climate change and equality," he said. The AI politician is constantly learning to respond to people through Facebook Messenger as well as a survey on its homepage.

Scientists have developed the world's first artificial intelligence politician, that can answer a person's queries regarding local issues such as policies around housing, education and immigration. The virtual politician, called SAM, was created by Nick Gerritsen, a 49-year-old entrepreneur in New Zealand. "There is a lot of bias in the'analogue' practice of politics right now," said Gerritsen. "There seems to be so much existing bias that countries around the world seem unable to address fundamental and multiple complex issues like climate change and equality," he said. The AI politician is constantly learning to respond to people through Facebook Messenger as well as a survey on its homepage.

The concerns over government facial recognition systems don't just revolve around the possibility of Orwellian control -- it's that they may share that data with others you don't completely trust. Australia is learning this first-hand. The Guardian has obtained documents showing that the country's Attorney General office is talking to telecoms and banks about testing private use of the Facial Verification Service in 2018. Companies would need to get your permission and would have to show that they're honoring Australia's Privacy Act, but they could otherwise use it to fight fraud or otherwise verify the identities of their customers. The approach would be similar to the existing Document Verification Service, where companies pay a fee every time they want to verify info from documents like your driver's license or passport.