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Scientific Data Mining
Chandrika Kamath describes how techniques from the multi-disciplinary field of data mining can be used to address the modern problem of data overload in science and engineering domains. Starting with a survey of analysis problems in different applications, it identifies the common themes across these domains.
Data Mining for Scientific and Engineering Applications
Advances in technology are making massive data sets common in many scientific disciplines, such as astronomy, medical imaging, bio-informatics, combinatorial chemistry, remote sensing, and physics. To find useful information in these data sets, scientists and engineers are turning to data mining techniques. This book is a collection of papers based on the first two in a series of workshops on mining scientific datasets. It illustrates the diversity of problems and application areas that can benefit from data mining, as well as the issues and challenges that differentiate scientific data mining from its commercial counterpart. While the focus of the book is on mining scientific data, the work is of broader interest as many of the techniques can be applied equally well to data arising in business and web applications. Audience: This work would be an excellent text for students and researchers who are familiar with the basic principles of data mining and want to learn more about the application of data mining to their problem in science or engineering.
Informatics for Materials Science and Engineering
Materials informatics: a 'hot topic' area in materials science, aims to combine traditionally bio-led informatics with computational methodologies, supporting more efficient research by identifying strategies for time- and cost-effective analysis. The discovery and maturation of new materials has been outpaced by the thicket of data created by new combinatorial and high throughput analytical techniques. The elaboration of this "quantitative avalanche"—and the resulting complex, multi-factor analyses required to understand it—means that interest, investment, and research are revisiting informatics approaches as a solution. This work, from Krishna Rajan, the leading expert of the informati...
Review of NASA's Aerospace Technology Enterprise
The Committee for the Review of NASA's Pioneering Revolutionary Technology (PRT) Program and its three supporting panels were charged by the National Aeronautics and Space Administration (NASA) with assessing the overall scientific and technical quality of the PRT program and its component programs, along with their associated elements and individual research tasks. Major issues addressed in the review include (1) research portfolios, (2) research plans, (3) technical community connections, (4) methodologies, and (5) overall capabilities. As reflected in the organization of the report, a two-pronged assessment was developed. Each panel provided a detailed assessment of the program under its purview, which was refined and updated over the course of the review. The committee, composed mainly of representatives from each panel, integrated and evaluated the panel results and provided top-level advice on issues cutting across the entire PRT program.
Multiscale and Multiresolution Methods
Many computionally challenging problems omnipresent in science and engineering exhibit multiscale phenomena so that the task of computing or even representing all scales of action is computationally very expensive unless the multiscale nature of these problems is exploited in a fundamental way. Some diverse examples of practical interest include the computation of fluid turbulence, structural analysis of composite materials, terabyte data mining, image processing, and a multitude of others. This book consists of both invited and contributed articles which address many facets of efficient multiscale representation and scientific computation from varied viewpoints such as hierarchical data representations, multilevel algorithms, algebraic homogeni- zation, and others. This book should be of particular interest to readers interested in recent and emerging trends in multiscale and multiresolution computation with application to a wide range of practical problems.
Data-Intensive Computing
Describes principles of the emerging field of data-intensive computing, along with methods for designing, managing and analyzing the big data sets of today.
Studies in Women Writers in English
During The Last Few Centuries Women Writers Have Considerably Widened And Deepened The Areas Of Human Experience With Their Sharp, Feminine Perception Of Life Successfully Transmuted Into Verbal Artifact. The World Body Of Literature In English Would Have Been Much Poorer Today But For The Contribution Of Women Writers. The New Series Studies In Women Writers In English Is A Grateful Acknowledgment Of That Contribution And Public Recognition Of Their Voice.The Twenty-Three Essays Included In This Fourth Volume Of The Series Cover A Wide Spectrum Of Women Writers Across Space And Time. The Women Writers Discussed In This Volume Include Five From Britain: Mary Shelley, Charlotte Brontë, Georg...
Scientific Data Management
Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Management: Challenges, Technology, and Deployment describes cutting-edge technologies and solutions for managing and analyzing vast amounts of data, helping
Proceedings of the Sixth SIAM International Conference on Data Mining
The Sixth SIAM International Conference on Data Mining continues the tradition of presenting approaches, tools, and systems for data mining in fields such as science, engineering, industrial processes, healthcare, and medicine. The datasets in these fields are large, complex, and often noisy. Extracting knowledge requires the use of sophisticated, high-performance, and principled analysis techniques and algorithms, based on sound statistical foundations. These techniques in turn require powerful visualization technologies; implementations that must be carefully tuned for performance; software systems that are usable by scientists, engineers, and physicians as well as researchers; and infrastructures that support them.
Some Research Results on Bridge Health Monitoring, Maintenance and Safety V
Special topic volume with invited peer reviewed papers only.
