data mining - News, Features, and Slideshows

FB (Facebook) has totes embraced new lingo by being granted a patent to develop software that can detect Internet slang, commonly used on social media sites by youngins.

The Northern Territory Police Force is utilising facial biometrics technology to identify and detain wanted criminals.

Electronic medical records are not only useful as a central repository for storing and updating information but also provide rich sources of data that can be analysed and mined to improve patient care.

While the buzz around big data analysis is at a peak, there is less discussion about how to get the necessary data into the systems in the first place, which can involve the cumbersome task of setting up and maintaining a number of data processing pipelines.

There's no shortage of software vendors paying lip service to data science in this analytics-infused era, but Workday is putting its money where its mouth is.

comScore is no stranger to big data. The digital analytics company was founded in 1999 with the goal of providing intelligence to companies about what's happening online.

The big data market is expected, by one estimate, to grow more than 30 percent annually until the end of the decade. But more than half of big data projects fail--and even those that do succeed can fall apart if the findings aren't applied to operational efficiencies. Ron Bodkin, CEO of Think Big Analytics, offers advice to help you prevent your business from becoming just another statistic.

Long the purview of financial firms looking for an edge as they make lightning-fast transactions, in-memory technology is starting to catch the attention of many firms that conduct real-time analysis.

Making use of the petabytes of patient data that healthcare organizations possess requires extracting it from legacy systems, normalizing it and then building applications that can make sense of it. That's a tall order, but the facilities that pull it off can learn a lot.

1.The concept is still quite new. The term data lake, credited to Pentaho CTO James Dixon, has been bandied about for several years. But the idea of data lakes as corporate resources is still in its infancy, according to IDC analyst Ashish Nadkarni. A data lake is defined as a massive--and relatively cheap--storage repository, such as Hadoop, that can hold all types of data until it is needed for business analytics or data mining. A data lake holds data in its rawest form, unprocessed and ungoverned.

Big Data. Predictive analytics. Real-time. Actionable insight. There's a buzzword smorgasbord around the use of data to derive value. It doesn't help that sometimes the benefits can be esoteric, or at least hard to visualize. But sometimes the benefits are crystal clear, as in the fight against sepsis, one of the leading killers in the US.

Studies show that around 40% of products fail. But what if product designers could understand what features are most and least popular, which components tend to fail sooner than others, and how customers actually use products versus how designers think they use them? And, what if product developers could then utilize these insights to develop products that perform better, potentially cost less and, most importantly, are aligned with actual customer needs?

If you want to understand what it takes to collect, track and analyze reams of data, just check the weather. There are constant fluctuations, scores of data points and intense interest from all over the planet. Analyze the data correctly and someone in the state of Washington knows whether or not to wear a raincoat. Do it poorly and there might be a massive traffic pileup from people driving too fast on slick roads.

The recent Demo Traction event showcased a host of young companies that are gaining market momentum.  Each gave their pitch and then answered to a panel of judges.  If it is important for you to stay on the up and up with emerging technologies, this is must watch stuff.