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Categorical Data Integration for Computational Science [article]

Kristopher Brown, David I. Spivak, Ryan Wisnesky
2019 arXiv   pre-print
Categorical Query Language is an open-source query and data integration scripting language that can be applied to common challenges in the field of computational science.  ...  We argue some open problems in the field of data sharing in computational science are addressable by working within this paradigm of functorial data migration.  ...  Data Availability Data and code required to reproduce these findings are available to download from https://github.com/krisbrown/cql_data_integration.  ... 
arXiv:1903.10579v1 fatcat:idsg7exy7jazjbtudjskezigxq

Text Categorization for Assessing Multiple Documents Integration, or John Henry Visits a Data Mine [chapter]

Peter Hastings, Simon Hughes, Joe Magliano, Susan Goldman, Kim Lawless
2011 Lecture Notes in Computer Science  
In this paper, we explore techniques for analyzing student essays to give feedback to teachers on how well their students deal with multiple texts.  ...  A critical need for students in the digital age is to learn how to gather, analyze, evaluate, and synthesize complex and sometimes contradictory information across multiple sources and contexts.  ...  Yilmazel et al [18] used an SVM algorithm to perform text categorization for automatically aligning curricular documents with state and federal science benchmarks.  ... 
doi:10.1007/978-3-642-21869-9_17 fatcat:gv2y7phep5gnbduehyfdjxf2ve

A Dynamic Programming Approach for Privacy Preserving Collaborative Data Publishing

S.Ram Prasad Reddy, KVSVN Raju, V.Valli Kumari
2011 International Journal of Computer Applications  
This paper suggests a simple solution for integrating nparty data using dynamic programming on subsets. The solution is based on thresholds for privacy and informativeness based on k-anonymity.  ...  One such solution was proposed for such a scenario, based on k-anonymity and cut-tree method for 2-party data.  ...  Figure 1 . 1 Collaborative Figure 2 . 2 System Architecture Figure 4 .Figure 5 . 45 Taxonomy Taxonomy for Gender Figure 6 . 6 Secure Data Integration 4) , Science (2) , Arts (2) , Computer Science  ... 
doi:10.5120/2572-3542 fatcat:2ussdrffand33nulczqgwchl4i

The design of teaching structure based on competency training of computational thinking

Xihua Long, Jiehui Zhang, Zhanli Li
2012 2012 First National Conference for Engineering Sciences (FNCES 2012)  
It poses a new challenge to computing science and college computer education, including teaching contents, curriculum system, and teaching methods.  ...  compound teaching modules and a categorized and multi-layer curriculum system.  ...  The construction of compound teaching modules Fig. 2 . 2 The categorized and multi-layer course system For instance, in categorized course system, College Computer Fundamentals and courses of computer  ... 
doi:10.1109/nces.2012.6543829 fatcat:jlxfa45w35fkpn3qr4x7aasr4m

Provider landscape analysis and provider categorization [article]

Boro Jakimovski
2020 Zenodo  
Provider landscape analysis and provider categorization – presents the collection of detailed information about resource providers – generic computing services, generic data storage services and generic  ...  data management services, thematic (discipline-specific) services, and repositories (publication repositories, datasets repositories, software repositories).  ...  Security, Computer Science IoT Cloud Platform 4 IoT platform for data collecting, processing and visualization.  ... 
doi:10.5281/zenodo.3932941 fatcat:rels73oqtza7vba65wx3am6gzy

Theoretical and Practical Challenges of Integrating Ecosystem Data [chapter]

M. Hauhs, B. Trancón y. Widemann, O. Archner
2008 Lecture Notes in Computer Science  
Here, we propose a categorical basis for the task of organising and integrating ecosystem data.  ...  The core idea of our approach is to use the duality between algebra and coalgebra as the mathematical basis for representing and relating these two data types.  ...  Here, we propose a categorical basis for the task of organising and integrating ecosystem data.  ... 
doi:10.1007/978-3-540-88875-8_23 fatcat:yau7xlntcjenxnzy3bcrt3daqy

Page 242 of American Society of Civil Engineers. Collected Journals Vol. 16, Issue 4 [page]

2002 American Society of Civil Engineers. Collected Journals  
“Planning for computer integrated construction.” J. Comput. Civ. Eng., 13(4), 217-225. Kang, L. S., and Paulson, B. C. (1997). “Adaptability of information classification systems for civil works.” J.  ...  “An exploratory technique for investigating large quantities of categorical data.” Appl. Stat., 29(2), 119-127. Kosovac, B., Froese, T., and Vanier, D. (2000).  ... 

Earth Science Data Analytics: Definitions, Techniques and Skills

Steve Kempler, Tiffany Mathews
2017 Data Science Journal  
The continuous evolution of data management systems affords great opportunities for the enhancement of knowledge and advancement of science research.  ...  Through the acquisition of Earth science research use cases and categorization of ESDA result oriented research goals, ESDA techniques/skills have been assembled.  ...  Acknowledgements The authors would like to thank the ESIP Federation and, in particular, the ESDA Cluster members for their support and insights, as well as Peter Fox and Erin Robinson for their wisdom  ... 
doi:10.5334/dsj-2017-006 fatcat:hvphedgtufdjlfzdjq3mwkntyi

Clustering Heterogeneous Data with Mutual Semi-supervision [chapter]

Artur Abdullin, Olfa Nasraoui
2012 Lecture Notes in Computer Science  
Algorithms for Mixed Data Attributes  k-prototypes [Huang, 1998] : integrates the k-means and the kmodes.  ...  • In NMI: • For categorical domain Experimental Results: Heart Disease Data Set Algorithm Semi-Supervised Conversion Splitting Data type Numerical Categorical Numerical Categorical Numerical  ... 
doi:10.1007/978-3-642-34109-0_4 fatcat:usb2atelnrgffktedxgx5yo4pa

A Survey of Scholarly Literature Describing the Field of Bioinformatics Education and Bioinformatics Educational Research

Alejandra J. Magana, Manaz Taleyarkhan, Daniela Rivera Alvarado, Michael Kane, John Springer, Kari Clase, Mary Lee Ledbetter
2014 CBE - Life Sciences Education  
analyzing, interpreting, and integrating data to solve biological problems.  ...  J Comput Sci Coll 21, 100-107.  ...  Essay resulted from the advancement of biological sciences due to the integration and application of information technology and computational science to solve biological problems in emerging fields such  ... 
doi:10.1187/cbe.13-10-0193 pmid:25452484 pmcid:PMC4255348 fatcat:2uilrbzzzja4nmsetfzw6mbkau

Semi-automatic Categorization of Videos on VideoLectures.net [chapter]

Miha Grcar, Dunja Mladenic, Peter Kese
2009 Lecture Notes in Computer Science  
In this paper, we present a module for semi-automatic categorization of video-recorded lectures.  ...  Automatic or semi-automatic categorization of items (e.g. documents) into a taxonomy is an important and challenging machine-learning task.  ...  To incorporate structural data in an attempt to boost accuracy, we decided to compute a kernel for each different "instance space" of the data, different spaces being the TF-IDF representation of the textual  ... 
doi:10.1007/978-3-642-04174-7_51 fatcat:6b5czbw2cvbvxn4hixayn2yt7a

Data Integration for Multimedia E-learning Environments with XML and MPEG-7 [chapter]

Marc Spaniol, Ralf Klamma, Matthias Jarke
2002 Lecture Notes in Computer Science  
Integration of heterogeneous data is one of the greatest challenges for versatile e-learning environments, since support for different multimedia data formats is often restricted or adaptions are necessary  ...  Therefore, we examine the opportunities given by new metadata standards like MPEG-7 and XML for knowledge management in terms of automated processing, evaluation and presentation of e-content.  ...  We like to thank our colleagues for the inspiring discussions. Special thanks to Oliver Fritzen for reviewing this article.  ... 
doi:10.1007/3-540-36277-0_23 fatcat:a2gootalsvh5tljk5b6fsu3aji

Linking Data across Universities: An Integrated Video Lectures Dataset [chapter]

Miriam Fernandez, Mathieu d'Aquin, Enrico Motta
2011 Lecture Notes in Computer Science  
To integrate this information, the extracted videos have been categorized under a common classification space, the taxonomy defined by the Open Directory Project 3 .  ...  As a result of this process a new Linked Data dataset has been released containing more than 14,000 video lectures from 27 different institutions and categorized under a common classification scheme.  ...  These videos have been categorized under a total of 569 different ODP categories. Among the most popular ones we can highlight: Science/Math, Science/Physics and Computers/Artificial_Intelligence.  ... 
doi:10.1007/978-3-642-25093-4_4 fatcat:6xpyzsyupbgnrmrpnu32z77wza

Text Mining Grid Services for Multiple Environments [chapter]

Antonio Anddre Serpa, Valeriana G. Roncero, Myrian C. A. Costa, Nelson F. F. Ebecken
2008 Lecture Notes in Computer Science  
The focus is the development and test of components for analysis and evaluation of unstructured data into distinct grid environments.  ...  access and a visualization tool integrated with various grid environments.  ...  providing the computational resources for this research.  ... 
doi:10.1007/978-3-540-92859-1_51 fatcat:ioxhimhpdngzlebebseczyr4ya

News and Notices. COMPSTAT 84. 6th Symposium on computational statistics

1983 Applications of Mathematics  
General aspects of statistical software for micro computers. 7. Integration of statistical data base management and data analysis. 8. Computational aspects of robustness. 9.  ...  Software in categorical data analysis. 10. Computational problems in spatial data analysis. 11. Computational statistics in random processes. 12.  ... 
doi:10.21136/am.1983.104031 fatcat:yyf2vqbadba5tets6j5a6kqvaa
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