Books "Frontiers in Massive Data Analysis"

Published on January 17th, 2014 | by Travis Korte

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“Frontiers in Massive Data Analysis,” by the National Research Council

Frontiers in Massive Data Analysis is a book-length report from the U.S. National Research Council, intended to assess the current state of data analysis, identify gaps in the current theory and practice and propose a research agenda to fill those gaps. Specifically, it details the challenges to data management and analysis that have arisen in the “big data” environment. These include dealing with distributed data sources, tracking data provenance, developing scalable and parallelizable algorithms, enabling data sharing and others.

The book covers the research areas of data representation, computational complexity, model-building, sampling and human-data interaction. One of the main conclusions of Frontiers is the need for significantly expanded interdisciplinary work in approaching “big data” problems. Computer scientists, statisticians, mathematicians and domain experts will need to work together to overcome many of the challenges detailed in the book.

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About the Author

Travis Korte is a research analyst at the Center for Data Innovation specializing in data science applications and open data. He has a background in journalism, computer science and statistics. Prior to joining the Center for Data Innovation, he launched the Science vertical of The Huffington Post and served as its Associate Editor, covering a wide range of science and technology topics. He has worked on data science projects with HuffPost and other organizations. Before this, he graduated with highest honors from the University of California, Berkeley, having studied critical theory and completed coursework in computer science and economics. His research interests are in computational social science and using data to engage with complex social systems. You can follow him on Twitter @traviskorte.



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