Results 1 - 10 of 918

Survey of clustering algorithms

by Rui Xu, Donald Wunsch II - IEEE TRANSACTIONS ON NEURAL NETWORKS , 2005
"... Data analysis plays an indispensable role for understanding various phenomena. Cluster analysis, primitive exploration with little or no prior knowledge, consists of research developed across a wide variety of communities. The diversity, on one hand, equips us with many tools. On the other hand, the ..."
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, the profusion of options causes confusion. We survey clustering algorithms for data sets appearing in statistics, computer science, and machine learning, and illustrate their applications in some benchmark data sets, the traveling salesman problem, and bioinformatics, a new field attracting intensive efforts

GeoInformation Computing & Cyberinfrastructure

by Chaowei Yang, Qunying Huang, Huayi Wu, Wenwen Li, Spatial Computing
"... Geographic information processing is expanding in several dimensions in the past decades: 1) Earth observation, ground sensing, and other data collection techniques accelerated exponentially our capability for collecting petabytes of data on a daily basis. 2) Research in the past years produces comp ..."
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in the geospatial or Geoinformation arena (Yang et al 2010). From a computing perspective, GeoInformation science calls for research and development to leverage different computing platforms to address the data and computing intensive problems. This paper overviewed this problem and the utilization of distributed

Mapping State and Congressional Ideology On a Cross-institutional Common Space

by Christopher Berry, Nolan Mccarty
"... Researchers face two major problems when applying ideal point estimation techniques to state legislatures. First, longitudinal roll-call data are scarce. Second, even when such data exist, scaling ideal points within a single state is an inadequate approach. No comparisons can be made between these ..."
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Researchers face two major problems when applying ideal point estimation techniques to state legislatures. First, longitudinal roll-call data are scarce. Second, even when such data exist, scaling ideal points within a single state is an inadequate approach. No comparisons can be made between

Designing Cyberinfrastructure for Future Users

by Matthew J. Bietz, Charlotte P. Lee
"... Abstract. Scientific information infrastructures are expected to operate over long time scales, but this creates challenges for the design of those infrastructures. This paper uses the example of cyberinfrastructures for metagenomics research to illustrate some of the issues that can arise when scie ..."
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scientists attempt to use legacy cyberinfrastructures to answer new research questions. New science brings new forms of data, new analysis tools, and the need to recontextualize existing data. Cyberinfrastructure design is complicated by the difficulty of predicting future user requirements. We discuss three

Human Centered Game Design for Bioinformatics and Cyberinfrastructure Learning

by Daniel Perry, Cecilia Aragon, Stephanie Cruz, Mette A. Peters, Jeanne Ting Chowning
"... Engaging students in science, technology, engineering, and math (STEM) fields is critical to ensure the success of the next generation of scientists and engineers. Given that 97 % of American teens play video games, there is a tremendous opportunity to facilitate interest in STEM topics through the ..."
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the design of engaging learning games. While a growing number of serious games have been developed for biological science and computer science learning, few address the communication and technical challenges that arise in cyberinfrastructure intensive projects, where multiple domain scientists and computer

Cloud Computing and Spatial Cyberinfrastructure

by Marlon E. Pierce, Geoffrey C. Fox, Yu Ma, Jun Wang
"... Classification: Physical Sciences, Computer SciencesAbstract: In this perspectives paper, we review the current state of Cyberinfrastructure and illustrate opportunities that we see if Cloud Computing strategies are adopted. In summary, Cloud Computing provides elastically provisioned computing, sof ..."
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Classification: Physical Sciences, Computer SciencesAbstract: In this perspectives paper, we review the current state of Cyberinfrastructure and illustrate opportunities that we see if Cloud Computing strategies are adopted. In summary, Cloud Computing provides elastically provisioned computing

GEOMATICS AND THE NEW CYBER-INFRASTRUCTURE

by J. A. Rod Blais
"... Geomatics is a very active field of applied science and engineering which deals with multi-resolution geospatial and spatio-temporal information for all kinds of scientific, engineering and administrative applications. Rapidly changing communication and High Performance Computing (HPC) technologies ..."
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have brought about fundamental changes in the handling of geospatial and related information. As a result, new specialized knowledge and expertise are expected and refined in the workplace. Cyber-infrastructure refers to the new virtual environments in which advanced data processing and management

Cyberinfrastructure for Data-driven Digital Knowledge Discovery

by Beth Plale, Dennis Gannon , 2007
"... Recent research advances in scalable software architectures for data-driven knowledge discovery is creating exciting new opportunities for scholarly research that depends on access to digital data collections. This knowledge discovery process is one of asking questions that involve searching data, i ..."
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Recent research advances in scalable software architectures for data-driven knowledge discovery is creating exciting new opportunities for scholarly research that depends on access to digital data collections. This knowledge discovery process is one of asking questions that involve searching data

Designing highly flexible and usable cyberinfrastructures for convergence

by Bruce W. Herr, Weixia Huang, Shashikant Penumarthy, Katy Börner - In Progress in Convergence – Technologies for Human Wellbeing , 2007
"... Indiana 47405, USA1 ABSTRACT: This article presents the results of a 7-year-long quest into the development of a “dream tool ” for our research in information science and scientometrics and more recently, network science. The results are two cyberinfrastructures (CI): The Cyberinfrastructure for Inf ..."
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Indiana 47405, USA1 ABSTRACT: This article presents the results of a 7-year-long quest into the development of a “dream tool ” for our research in information science and scientometrics and more recently, network science. The results are two cyberinfrastructures (CI): The Cyberinfrastructure

Education for eScience Professionals: Integrating Data Curation and Cyberinfrastructure

by Youngseek Kim, Benjamin K. Addom, Jeffrey M. Stanton
"... Large, collaboratively managed datasets have become essential to many scientific and engineering endeavors, and their management has increased the need for “eScience professionals ” who solve large scale information management problems for researchers and engineers. This paper considers the dimensio ..."
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Large, collaboratively managed datasets have become essential to many scientific and engineering endeavors, and their management has increased the need for “eScience professionals ” who solve large scale information management problems for researchers and engineers. This paper considers
Results 1 - 10 of 918