Graph Database
Short Survey on Graph Database
... decades graph database is receiving immense popularity and used in many applications instead of typical tabular method of storing ...As database size keeps on increasing day by day, it gets difficult ...
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Graph database based network security situation awareness data storage method
... With the rapid development of the Internet, network security situation awareness has attracted tremendous attention. In large-scale complex networks, network security situation awareness data presents the characteristics ...
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Subgraph Matching with Set Similarity in a Large Graph Database
... large graph database, which retrieves subgraphs that are structurally isomorphic to the query graph, and during this time period it also satisfy the condition of vertex pair matching with the ...
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1. A study on graph mining algorithms to discover frequent subgraph patterns from exact graph data and uncertain graph database
... certain Graph data ,mining the frequent subgraph patterns from Uncertain Graph data is a challenging ...Uncertain graph database as a collection of uncertain Graph data ...uncertain ...
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Analysis of Pattern Identification Using Graph Database for Fraud Detection
... This database, when changed over into graph database, is all the more effectively ...utilizing Graph-based mining ...the graph creation of the ...
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A Graph Database Model for Knowledge Extracted from Place Descriptions
... A parser was used in previous studies to extract triplets from the dataset [8]. The extracted triplets are stored in a csv file with three columns: locatum place reference, spatial relation, and relatum place reference. ...
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Designing Graph Database Models from Existing Relational Databases
... By considering the domain dependencies and creating only one node for a particular domain value appearing several times in a table (or in many tables), the data retrieval speed is enhanced and reduces the extra ...
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K Means Graph Database Clustering and Matching for Fingerprint Recognition
... The graph derived from the fingerprint is classified to its corresponding owner class by using inexact graph matching ...inexact graph matching makes the algorithm robust to absorb distortions in the ...
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An Integrated Recommendation System using Graph Database and QGIS
... relational database since graph is self-explanatory and flexible which can cope up with any complex ...Recently, graph database is extensively used to represent multi linked data on web, ...
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EpiGeNet : A graph database of interdependencies between genetic and epigenetic events in colorectal cancer
... The graph database approach has demonstrated capability in facilitating not only both (i) and (ii) but also in (iii) exploration of context, characterized by wide ...
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Index Terms - Web Query Classification, Web Service, Neo4j Graph Database, OWL
... Architecture of proposed system consists of one ontology dataset, two databases and three programming components. The functional module of proposed system is separately implemented as two web services by using C# ...
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Large Graph Database for Subgraph Matching with Set Similarity Using String Metric Algorithm
... large graph database, which retrieves subgraphs that are structurally isomorphic to the query graph, and during this time period it also satisfy the condition of vertex pair matching with the ...
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Design and Implementation of NBA Playoff Prediction Method Based on ELO Algorithm and Graph Database
... A graph database is a database whose data model conforms to some forms of graph (or network or link) ...The graph data model usually consists of nodes (or vertices) and (directed) edges ...
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Implementing a Recommender system with graph database Prototype
... That is why, a variant of the minimum spanning tree will be used in this case. This method can, for instance, be used to propose another similar movie to a user by analyzing his current shopping cart. It is also widely ...
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Performance Analysis of Relational and Graph Database
... about graph databases ie shows Graph Database Benchmark, to analyze four graph databases: Neo4j, DEX, Titan (BerkeleyDB and Cassandra) and OrientDB (neighborhood) on various kinds of ...
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A Survey on Fraud Detection Using Graph Database
... system graph database will be used to detect insurance fraud. Graph database can be used to uncover the fraud ring in real ...rings. Graph database provide faster and efficient ...
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Analysis of Fraudulent in Graph Database for Identification and Prevention
... The world is changing, and this is the digital era. Almost everything around us is digitized and the flow of information is huge from a variety of sources ranging from mobile phone, smart devices, surveillance, sensors ...
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Recommendation System based on Graph Database Techniques
... a graph- based model for a recommendation system that deals with the restaurants and the customers data loading from a CSV file that upload to cloud service on a google drive using google ...
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Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach
... property graph model is made possible through rdf2neo [67], a tool that we have developed to convert RDF data into suitable Cypher instruc- ...similar graph databases ...
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QUALITY-AWARE SUB GRAPH MATCHING OVER INCONSISTENT PROBABILISTIC GRAPH DATABASE
... the database, but returns the aggregated question answers over (minimal or all) repaired ...(i.e., graph facts rather than relational statistics), which for this reason can't borrow present strategies for ...
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