by clicking on the page. A slider will appear, allowing you to adjust your zoom level. Return to the original size by clicking on the page again.
the page around when zoomed in by dragging it.
the zoom using the slider on the top right.
by clicking on the zoomed-in page.
by entering text in the search field and click on "In This Issue" or "All Issues" to search the current issue or the archive of back issues respectively.
by clicking on thumbnails to select pages, and then press the print button.
this publication and page.
displays a table of sections with thumbnails and descriptions.
displays thumbnails of every page in the issue. Click on a page to jump.
allows you to browse through every available issue.
FCW : October 30, 2013
Unstructured data --- everything from social media posts and sensor data to email, images and web logs --- is growing at an unprecedented pace. Here are just a few mind-blowing statistics: Twitter sees about 175 million tweets each day and has more than 465 million accounts. 571 new websites are created every minute of every day. And the world creates 2.5 quintillion bytes of data per day from unstructured data sources like sensors, social media posts and digital photos. Clearly, unstructured data is growing exponentially, and government is no exception. What does that mean? "Unstructured" means just that --- the elements within the data have no structure. For example, even a simple blog post has many elements embedded in it --- the date and time it was posted, the content, embedded links, author, etc. That makes searching and analysis much transactions. Unstructured data is so valuable, however, meaning out of it --- meaning that can translate into connections and patterns that would otherwise be missed. Depending on the mission, those missed connections could result in real missed opportunities. In most cases, unstructured data is best analyzed with cutting-edge analytics tools; with these tools, agencies can make inroads in reducing fraud, preventing crime, ferretting out waste, and Unstructured data: A big deal in big data Ga Chang r GAME CHANGING ECHNOLOG O MEE AGENC MI ION SPONSORED REPORT DEEP ANALYTICS THE WORLD CREATES 2.5 QUINTILLION BYTES OF DATA PER DAY FROM UNSTRUCTURED DATA SOURCES LIKE SENSORS, SOCIAL MEDIA POSTS AND DIGITAL PHOTOS. MACHINE-LEARNING: A NEW APPROACH TO ANALYSIS With the variety, speed and volume of data flowing through agencies' databases, it has become more and more di cult to find patterns that lead to meaningful conclusions. At the same time, agencies need to find ways to make sense of all of this data. While rules-based analytics in tools like business intelligence --- systems where conclusions are generated based on preset business rules --- can take agencies part of the way, these systems are limited by their very rules. he rules are set by humans, so they are limited by the way they are designed and directed. hey also aren't set up to deal with the volume and variety of data available to agencies today. Gleaning the most value from large, disparate sets of information, both structured and unstructured, requires a newer approach based on machine-learning. he machine-learning approach allows a system to analyze hundreds of variables simultaneously, along with how they interconnect, to form patterns. It is well-suited to complex problems involving multiple variables, and does extremely well with large volumes of unstructured data including images, text, audio, sensor data and more. Using this approach is invaluable in helping organizations not only discover patterns, but make more accurate predictions over time as it incorporates more data points.
September 30, 2013
November 15, 2013