Noname manuscript No. (will be inserted by the editor) Abstract Nowadays large amounts of GPS trajectory data is being continuously collected by GPSenabled devices such as vehicles navigation systems and mobile phones. GPS trajectory data is useful for applications such as traffic management, location forecasting, and itinerary planning. Such applications often need to extract the time-stamped Sequence of Visited Locations (SVLs) of the mobile objects. The nearest neighbor query (NNQ) is the most applied method for labeling the visited locations based on the IDs of the POIs in the process of SVL generation. NNQ in some scenarios is not accurate enough. To improve the quality of the extracted SVLs, instead of using NNQ, we label the visited locations as the IDs of the POIs which geometrically intersect with the GPS observations. In this paper we propose a novel method for estimating the POIs and their GOIs, which consists of three phases: (i) extracting the geometries of the stay regions; (ii) constructing the geometry of destination regions based on the extracted stay regions; and (iii) constructing the GOIs based on the geometries of the destination regions. Using the geometric similarity to known GOIs as the major evaluation criterion, the experiments we performed using long-term GPS trajectory data show that our method outperforms the existing approaches. Keywords Trajectory Data, Spatio-Temporal Partitioning, Geometry of Interest, Time-Value, Time-Weighted Centroid, Destination Extraction 1 Introduction In recent years, GPS trajectory data has become abundant due to the many GPS enabled devices used on a daily basis. Mining these GPS trajectories for gathering useful information for applications has received a growing amount of attention in the recent literature. In this field, researchers have tried to derive knowledge for solving practical problems (e.g. The applications dealing with data analysis on trajectory data often need to have access to information about the significant places which a mobile object frequently travels and stay. These significant places are referred to as the points of interest (POIs).

Community annotation of biological entities with concepts from multiple bio-ontologies has created large and growing repositories of ontology-based annotation data with embedded implicit relationships among orthogonal ontologies. Development of efficient data mining methods and metrics to mine and assess the quality of the mined relationships has not kept pace with the growth of annotation data. In this study, we present a data mining method that uses ontology-guided generalization to discover relationships across ontologies along with a new interestingness metric based on information theory. We apply our data mining algorithm and interestingness measures to datasets from the Gene Expression Database at the Mouse Genome Informatics as a preliminary proof of concept to mine relationships between developmental stages in the mouse anatomy ontology and Gene Ontology concepts (biological process, molecular function and cellular component). In addition, we present a comparison of our interestingness metric to four existing metrics. Ontology-based annotation datasets provide a valuable resource for discovery of relationships across ontologies. The use of efficient data mining methods and appropriate interestingness metrics enables the identification of high quality relationships.

If you live in or near Phoenix, you could be a candidate to test one of Google's self-driving cars. The tech giant is seeking professional, careful "drivers" to operate its vehicles and provide feedback. The "vehicle safety specialists," as they are referred to in Google's call for resumes, will be responsible for operating a driverless for six to eight hours per day, five days per week. During that time, drivers will gather data in autonomous Lexus SUVs as they "drive" through the tech hub of Chandler, Ariz., reported The Arizona Republic. Test drivers will give engineers written and verbal comments on how the car drives and reacts to other vehicles on the road.

No doubt, it has its benefits when it comes to great minds doing great things. However, if the birds and the bees are anything to go by, we have a lot to learn from collective thinking – even if it is used to make some cold, hard cash. Using a "hive mind" artificial intelligence platform, a group of individuals managed to predict the outcome of the top four winners of the Kentucky Derby. This 540-to-1 wager ended up winning a tidy 10,822 for the developers. So was it blind luck?

WASHINGTON – Top Republicans suggested on Sunday that Donald Trump needs more public policy schooling, particularly on foreign affairs, to earn the confidence of a fractured party and show he's ready to take on likely Democratic presidential nominee Hillary Clinton. "I think he's going to need to learn. He's going to need to understand really completely … how complex this world is," said Trump's top Senate ally and top foreign policy adviser, Sen. Jeff Sessions, R-Ala. To Rep. Tom Cole, R-Okla., Trump "is a work in progress," more so than most candidates. "Usually you know a lot more about a candidate because they've run for other things. And he does have a shoot-from-the-hip style."

While in Hollywood films hi-tech robots are portrayed as a threat, Chinese engineers might be able to change your mind. We take a closer look at the role artificial intelligence might play in the future RT LIVE http://rt.com/on-air Follow us on Twitter http://twitter.com/RT_com Follow us on Google http://plus.google.com/ RT (Russia Today) is a global news network broadcasting from Moscow and Washington studios.

Google it today and you'll see that the European Commission has turned up the heat in its long-running probe into anti-competitive behaviour by the web's most popular search engine. EC competition chief, Margrethe Vestager, issued formal objections alleging that Google abuses its dominant position in the market of "general internet search". In particular, the EC claims that Google artificially boosts its own products in returning Google comparison shopping results in its service "Google Shopping", even if those products aren't the best or cheapest – the "most relevant", as the Commission puts it – for consumers. Since taking office in November 2014, Vestager has made the Google inquiry a top priority, signalling a willingness to consider court battles and hefty fines if Google and other digital giants don't fall into line with European competition law. In this, she has displayed a distinct shift from her predecessor, Joaquín Almunia, whose multiple attempts to achieve private settlement with Google fell apart a year ago, before descending into a political and economic boxing match.

Y Combinator, Silicon Valley's most storied startup accelerator, receives thousands of applications every year. It recently analyzed all the words of hopeful founders since 2005 to see how well they predicted the next hot investment opportunities, and which sectors may be facing the abyss. The popularity of terms are "ahead of the curve compared to what the rest of the world sees," wrote Jared Friedman, a partner at Y Combinator, by email. The accelerator has funded 1,000 startups worth a combined 65 billion including Airbnb, Dropbox and Heroku. "These are the ideas that the earliest stage startups are working on, before they get press or become publicly known."

The Defense Department of the United States is reportedly seeking entrepreneurial Silicon Valley bigwigs to build out the future of defense with the help of artificial intelligence technology. Can artificial intelligence (AI) be used as a defense armor? Well, the Defense Department of the United States is reportedly seeking entrepreneurial Silicon Valley bigwigs to build out the future of defense with the help of AI technology. With the emergence of artificial intelligence, Washington has sought the expertise of Silicon Valley's technology leaders. In fact, U.S. Defense Secretary Ashton B. Carter visited the Valley for the fourth time to talk about the importance of incorporating artificial intelligence in America's warfare weapons, New York Times notes.

The computer screen in an autonomous prototype Continental Chrysler 300C sedan is seen during an event featuring numerous self-driving cars on Capitol Hill in Washington March 15, 2016. WASHINGTON -- Self-driving cars are expected to usher in a new era of mobility, safety and convenience. The problem, say transportation researchers, is that people will use them too much. Researchers believe the number of miles driven will skyrocket. It's less certain whether that will mean a corresponding surge in traffic congestion, but it's a clear possibility.