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Databases and Information Systems Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Chemical prediction (1)
- Corpora (1)
- Cyberterrorism (1)
- Graph database (1)
- Hadoop (1)
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- Informatics (1)
- Information Systems Security (1)
- Knowledge graphs (1)
- Machine learning (1)
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- Policy Decision Making (1)
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- Python (1)
- Text mining (1)
- UMLS (1)
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Articles 1 - 4 of 4
Full-Text Articles in Databases and Information Systems
Information Architecture For A Chemical Modeling Knowledge Graph, Adam R. Luxon
Information Architecture For A Chemical Modeling Knowledge Graph, Adam R. Luxon
Theses and Dissertations
Machine learning models for chemical property predictions are high dimension design challenges spanning multiple disciplines. Free and open-source software libraries have streamlined the model implementation process, but the design complexity remains. In order better navigate and understand the machine learning design space, model information needs to be organized and contextualized. In this work, instances of chemical property models and their associated parameters were stored in a Neo4j property graph database. Machine learning model instances were created with permutations of dataset, learning algorithm, molecular featurization, data scaling, data splitting, hyperparameters, and hyperparameter optimization techniques. The resulting graph contains over 83,000 nodes …
Developing A Cyberterrorism Policy: Incorporating Individual Values, Osama Bassam J. Rabie
Developing A Cyberterrorism Policy: Incorporating Individual Values, Osama Bassam J. Rabie
Theses and Dissertations
Preventing cyberterrorism is becoming a necessity for individuals, organizations, and governments. However, current policies focus on technical and managerial aspects without asking for experts and non-experts values and preferences for preventing cyberterrorism. This study employs value focused thinking and public value forum to bare strategic measures and alternatives for complex policy decisions for preventing cyberterrorism. The strategic measures and alternatives are per socio-technical process.
An Annotated Corpus With Nanomedicine And Pharmacokinetic Parameters, Nastassja Lewinski, Ivan Jimenez, Bridget Mcinnes
An Annotated Corpus With Nanomedicine And Pharmacokinetic Parameters, Nastassja Lewinski, Ivan Jimenez, Bridget Mcinnes
Chemical and Life Science Engineering Publications
A vast amount of data on nanomedicines is being generated and published, and natural language processing (NLP) approaches can automate the extraction of unstructured text-based data. Annotated corpora are a key resource for NLP and information extraction methods which employ machine learning. Although corpora are available for pharmaceuticals, resources for nanomedicines and nanotechnology are still limited. To foster nanotechnology text mining (NanoNLP) efforts, we have constructed a corpus of annotated drug product inserts taken from the US Food and Drug Administration’s Drugs@FDA online database. In this work, we present the development of the Engineered Nanomedicine Database corpus to support the …
Parsing Metamap Files In Hadoop, Amy Olex, Alberto Cano, Bridget T. Mcinnes
Parsing Metamap Files In Hadoop, Amy Olex, Alberto Cano, Bridget T. Mcinnes
Computer Science Publications
The UMLS::Association CUICollector module identifies UMLS Concept Unique Identifier bigrams and their frequencies in a biomedical text corpus. CUICollector was re-implemented in Hadoop MapReduce to improve algorithm speed, flexibility, and scalability. Evaluation of the Hadoop implementation compared to the serial module produced equivalent results and achieved a 28x speedup on a single-node Hadoop system.