COVER A conceptual illustration of an artificial neuron evokes a technology that is transforming many fields of science: artificial intelligence (AI). One common form of AI is a neural network, which "learns" as connections between simulated neurons change in response to inputs. Such systems can find meaningful patterns in vast data sets, ranging from genomics to astronomy, and are even beginning to design experiments.
The Friday Cover p The Friday Cover is POLITICO Magazine's email of the week's best, delivered to your inbox every Friday morning. On Monday, Aug. 21, a solar eclipse will be visible across America. California produced so much solar power on those days that it paid Arizona to take excess electricity its residents weren't using to avoid overloading its own power … How HBO's insanely popular hit show turned a young British actress into a feminist, a fantasy icon and a royal fan favorite p On a recent Monday … Many people leave airport security feeling dehumanised, frightened, even violated. Edward Schwarzschild decided to find out p It was my first shift of on-the-job training as a transportation security officer at Albany International Airport's only checkpoint, and I was told to … Every Wednesday afternoon, in a windowless conference room in an office building at the tip of lower Manhattan, David Pecker decides what will be on the cover of the following week's i National Enquirer /i .
In the years since the first edition of this book, data mining has grown to become an indispensable tool of modern business. The book retains the focus of earlier editions showing marketing analysts, business managers, and data mining specialists how to harness data mining methods and techniques to solve important business problems. After establishing the business context with an overview of data mining applications, and introducing aspects of data mining methodology common to all data mining projects, the book covers each important data mining technique in detail. The companion website provides data that can be used to test out the various data mining techniques in the book.
The desire to predict discoveries--to have some idea, in advance, of what will be discovered, by whom, when, and where--pervades nearly all aspects of modern science, from individual scientists to publishers, from funding agencies to hiring committees. In this Essay, we survey the emerging and interdisciplinary field of the "science of science" and what it teaches us about the predictability of scientific discovery. We then discuss future opportunities for improving predictions derived from the science of science and its potential impact, positive and negative, on the scientific community.
A major challenge for using data to make predictions is distinguishing what is meaningful from noise. As this special section explores, prediction is now a developing science. Social scientists and the machine learning community are acquiring new analytical tools to distinguish meaningful patterns from noise. Several authors in this special section describe the importance of realistic goals that seek to balance machine learning approaches with the human element.