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Discovering data reuse with the Throughput annotation database

Morgan Wofford, Simon Goring, Michael Lenard, Socorro Dominguez Vidana, Andrea Thomer
2021 Zenodo  
In the future, we hope to leverage these classification results to predict code repository type or identify useful code repositories for machine learning.  ...  We are working to make data and code resources easier to find via the Throughput database, an NSF EarthCube-funded graph database designed to improve discoverability of open data by linking data resources  ...  ● As a learning tool Predictive model: ML on metadata and documentation ● We categorized 129 repositories for this study (less than 1% of all  ... 
doi:10.5281/zenodo.5768572 fatcat:eik57leb3zam3hbrwlyrn6yrfi

Discovering data reuse with the Throughput annotation database

Morgan Wofford, Simon Goring, Michael Lenard, Socorro Dominguez Vidana, Andrea Thomer
2021 Zenodo  
In the future, we hope to leverage these classification results to predict code repository type or identify useful code repositories for machine learning.  ...  We are working to make data and code resources easier to find via the Throughput database, an NSF EarthCube-funded graph database designed to improve discoverability of open data by linking data resources  ...  ● As a learning tool Predictive model: ML on metadata and documentation ● We categorized 129 repositories for this study (less than 1% of all  ... 
doi:10.5281/zenodo.5768571 fatcat:l3dhkjwwmzgcvn6z5iaj5b2npu

Extraction of Meaningful Rules in a Medical Database

Sang C. Suh, Sam Saffer, Naveen Kumar Adla
2008 2008 Seventh International Conference on Machine Learning and Applications  
This is generated syntactically based on the case studies found in the websites [13, 14] .  ...  The modern data mining mechanisms are used to apply on the data. From a machine learning standpoint, this research has been greatly influenced by work in conceptual clustering.  ...  Extraction Of Meaningful Rules In A Medical Database, Machine Learning, Yagang Zhang (Ed.), ISBN: 978-953-307-033-9, InTech, Available from: http://www.intechopen.com/books/machine-learning/extraction-of-meaningful-rules-in-a-medical-database  ... 
doi:10.1109/icmla.2008.123 dblp:conf/icmla/SuhSA08 fatcat:6iv7zpjyuvhmnellobvu2dmwy4

Increasing Concurrency in Databases Using Program Analysis [chapter]

Roman Vitenberg, Kristian Kvilekval, Ambuj K. Singh
2004 Lecture Notes in Computer Science  
In this paper, we demonstrate a predictive locking scheduler for object databases. In particular we examine the possibility to predict the client's use of locks.  ...  In this paper, we demonstrate a predictive locking scheduler for object databases. In particular we examine the possibility to predict the client's use of locks.  ...  The benchmark models a database for CAD/CAM/CASE applications. A key component of the database is a set of composite parts.  ... 
doi:10.1007/978-3-540-24851-4_16 fatcat:pdmxk4rklne5pmgxk2wxom4wra

Mining the Irish hip fracture database: learning factors contributing to care outcomes

Mahmoud Elbattah
2021 figshare.com  
This study avails of unsupervised Machine Learning to extract knowledge from the Irish Hip Fracture Database. The dataset under consideration contained patient records over three years 2013-2015.  ...  Further, association rules were discovered to learn the potential factors leading to a prolonged length of stay (LOS).  ...  Using a diversity of Machine Learning (ML) techniques, Data Mining is utilised for the analysis of (often large) observational datasets to find unsuspected relationships and to summarise data in novel  ... 
doi:10.6084/m9.figshare.16598978.v1 fatcat:vvysddnvbvfnjlatdsbumhvksq

A prefetching technique for object-oriented databases [chapter]

Nils Knafla
1997 Lecture Notes in Computer Science  
The performance of OSP is evaluated on different machines in interaction with buffer management, distributed databases and other system parameters.  ...  Access pattern of object-oriented databases are often complex and usually hard to predict accurately.  ...  For example a linked list is a very easy candidate for prediction whereas objects with a fan-out of 10 referenced objects are very difficult to predict.  ... 
doi:10.1007/3-540-63263-8_19 fatcat:rwnxln4wrbbglnxq6tpyaatr7u

Phoneme Recognition on the TIMIT Database [chapter]

Carla Lopes, Fernando Perdigao
2011 Speech Technologies  
Speech Technologies Boundary agreement within 20 ms www.intechopen.com Phone Recognition on the TIMIT Database www.intechopen.comPhone Recognition on the TIMIT Database SUMMIT is a speech  ...  The major advantage of generative learning is that it is relatively easy to exploit inherent dependency or various relationships of data by imposing all kinds of structure constraints on generative learning  ... 
doi:10.5772/17600 fatcat:yxoc5nmpejh6tnei6vkdd7u4d4

Citation analysis of database publications

Erhard Rahm, Andreas Thor
2005 SIGMOD record  
He received the 2002 VLDB ten-year award for his work on automatic tuning.  ...  Gerhard serves on the editorial boards of ACM TODS and IEEE CS TKDE, and he was the program committee chair for the 2004 SIGMOD conference in Paris.  ...  The tools would do data mining and machine learning on the data, and would make it easy to script workflows that analyze the data.  ... 
doi:10.1145/1107499.1107505 fatcat:c4evhhw6y5difggghxsvvdqzeu

Automatic Enrichment and Classification of Folktales in the Dutch Folktale Database

Meder, Karsdorp, Nguyen, Theune, Trieschnigg, Muiser
2016 Journal of American Folklore  
These studies are useful for future fundamental research into patterns and structures, such as historical and geographical variation in oral tradition, on an international scale.  ...  This paper describes the development of the Dutch Folktale Database as a digital archive of intangible heritage and a sophisticated research instrument.  ...  For all these tasks, we make use of supervised machine learning methods.  ... 
doi:10.5406/jamerfolk.129.511.0078 fatcat:w5x7kumpcbdz5gc6zewluptacq

New proposals for organization of knowledge and their role in the development of databases for history of science

Ana M. Alfonso-Goldfarb, Silvia Waisse, Marcia H.M. Ferraz
2018 Circumscribere: International Journal for the History of Science  
data.  ...  As is known, the digital era brought new possibilities for creation, organization and work with large databases.  ...  These methods were developed within the field of machine learning, with the primary objective of optimizing online search tools.  ... 
doi:10.23925/1980-7651.2018v21;p1-12 fatcat:44t2jeptdbbknlhydx4o6ldq7m

MAMMOGRAPHY DATABASE: ADHERENCE TRACKING FOR WOMAN VETERANS

Yvonne Ginez-Gonzales
2015 Zenodo  
Given this, a population-based Microsoft Access database was developed as a tool to proactively manage preventive mammography screenings by serving as a reliable tracking and reminder system.  ...  As of Fall 2014, this Southern California large federal healthcare system (HCS) organization did not have a systematic way to monitor outpatient WV recommended screening due dates or follow-ups within  ...  The hands on mammography database training will be completed in the computer lab, in addition to one-on-one support that will include: a tour of the database, data entry, running reports, accessing links  ... 
doi:10.5281/zenodo.4429278 fatcat:g7zwr4kmjna5xhpiqnllstp7qe

Development of an Image Retrieval Model for Biomedical Image Databases [chapter]

Achimugu Philip, Babajide Afolabi, Adeniran Oluwaranti, Oluwagbemi Oluwatolani
2011 Efficient Decision Support Systems - Practice and Challenges in Biomedical Related Domain  
Image processing a is very important subject, and finds itself in such fields as photography, satellite imaging, medical imaging, and image compression, to name but a few.  ...  Images can be thought of as two-dimensional signals via a matrix representation.  ...  For example, selecting a few images from the database, based on their content.  ... 
doi:10.5772/16875 fatcat:c4skyp4y55f3hmkv3ouv4jzoum

Microlearning in health professions education

Jennie C. De Gagne, Amanda Woodward, Hyeyoung K. Park, Huilin Sun, Sandra S. Yamane
2018 The JBI Database of Systematic Reviews and Implementation Reports  
MicroContent mashing allows the audience to become the producer and will have impact on many content usages, such as learning.  ...  These attributes allow a new phenomenon on Internet: mixing and mashing.  ...  First, some specific learning scenarios seem better adapted and we presented several of them.  ... 
doi:10.11124/jbisrir-2017-003884 pmid:30489350 fatcat:hgqjcgrvlnhr5dnag37f5a7ffy

SKG4EOSC - Scholarly Knowledge Graphs for EOSC: Establishing a backbone of knowledge graphs for FAIR Scholarly Information in EOSC

Markus Stocker, Tina Heger, Artur Schweidtmann, Hanna Ćwiek-Kupczyńska, Lyubomir Penev, Milan Dojchinovski, Egon Willighagen, Maria-Esther Vidal, Houcemeddine Turki, Daniel Balliet, Ilaria Tiddi, Tobias Kuhn (+7 others)
2022 Research Ideas and Outcomes  
This will be achieved by (1) establishing the Open Research Knowledge Graph (ORKG, orkg.org), a service operated by the SKG4EOSC coordinator, as a Hub for access to FAIR scholarly information in the EOSC  ...  Through explicit, machine actionable provenance links between FAIR scholarly information, primary data and contextual entities, it will substantially contribute to reproducibility, validation and trust  ...  techniques including graph and word embeddings, deep learning and machine learning.  ... 
doi:10.3897/rio.8.e83789 fatcat:wo7ibzf4xrcqbovdvecip4dczu

Ontology-Based Linked Data to Support Decision-Making within Universities

Ghadeer Ashour, Ahmed Al-Dubai, Imed Romdhani, Daniyal Alghazzawi
2022 Mathematics  
The linked data technique in this study is applied to generate a link between university semantic data and a scientific knowledge graph, to enrich the local data and improve academic decisions.  ...  As a proof of concept, a case study was conducted to allocate the best academic staff to teach a course regarding their profile, including research records.  ...  Acknowledgments: The authors are grateful to the Faculty of Computer and Information Technology (FCIT) at King Abdulaziz University (KAU) for providing the necessary data to achieve the study in this research  ... 
doi:10.3390/math10173148 fatcat:ionc2nrrg5d63p45dwjxv7x6lm
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