Outlier Recognition via Linguistic Aggregation of Graph Databases
Datasets frequently contain uncertain data that, if not interpreted with care, may affect information analysis negatively. Such rare, strange, or imperfect data, here called “outliers” or “exceptions” can be ignored in further processing or, on the other
Adam Niewiadomski +2 more
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Effectiveness of graph-based and fingerprint-based similarity measures for virtual screening of 2D chemical structure databases [PDF]
This paper reports an evaluation of both graph-based and fingerprint-based measures of structural similarity, when used for virtual screening of sets of 2D molecules drawn from the MDDR and ID Alert databases.
Raymond, J.W., Willett, P.
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Some problems on graph databases
Graph databases appear to be the most popular and relevant among non-relational databases. Its popularity is caused by its relatively easy implementation in the problems in which data have big numbers of relations such as protein-protein interaction and ...
R. I. Guralnik
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Mining Frequent Neighborhood Patterns in Large Labeled Graphs [PDF]
Over the years, frequent subgraphs have been an important sort of targeted patterns in the pattern mining literatures, where most works deal with databases holding a number of graph transactions, e.g., chemical structures of compounds. These methods rely
Han, Jialong, Wen, Ji-Rong
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Suitability of Graph Database Technology for the Analysis of Spatio-Temporal Data
Every day large quantities of spatio-temporal data are captured, whether by Web-based companies for social data mining or by other industries for a variety of applications ranging from disaster relief to marine data analysis.
Sedick Baker Effendi +2 more
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A Graph Database Representation of Portuguese Criminal-Related Documents
Organizations have been challenged by the need to process an increasing amount of data, both structured and unstructured, retrieved from heterogeneous sources.
Gonçalo Carnaz +2 more
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RDF Curator: A Novel Workflow that Generates Semantic Graph from Literature for Curation Using Text Mining [PDF]
There exist few databases that enable cross-reference among various research fields related to bioenergy. Cross-reference is highly desired among bioinformatics databases related to environment, energy, and agriculture for better mutual cooperation.
Osamu Gotoh, Yusuke Komiyama
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Graph technologies in an intelligent system of complex analysis of data from Internet sources
The purpose of the work outlined in the article is to review and demonstrate the use of graph technologies for deep data analysis. The first part of the article discusses the Intelligent System for the Comprehensive Analysis of Internet Sources Data and ...
I. I. Piletski +2 more
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Incremental View Maintenance for Deductive Graph Databases Using Generalized Discrimination Networks [PDF]
Nowadays, graph databases are employed when relationships between entities are in the scope of database queries to avoid performance-critical join operations of relational databases.
Thomas Beyhl, Holger Giese
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Gaining Insights into Conceptual Models: A Graph-Theoretic Querying Approach
Modern complex systems include products and services that comprise many interconnected pieces of integrated hardware and software, which are expected to serve humans interacting with them. As technology advances, expectations of a smooth, flawless system
Danny Medvedev, Uri Shani, Dov Dori
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