graph data
A Survey of Frequent Subgraph Mining algorithms for Uncertain Graph Data
... In this paper, we present a brief overview of mining frequent subgraphs from uncertain graph data under expected semantics and probabilistic semantics. By considering expected support measure, the frequent ...
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Limited random walk algorithm for big graph data clustering
... big graph data, the problem becomes more challenging or even ...whole graph structure for this ...local graph clustering problem, since a walk started from the seed vertex is more likely to ...
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1. A study on graph mining algorithms to discover frequent subgraph patterns from exact graph data and uncertain graph database
... Graph data. As compared to mining frequent subgraph patterns from certain Graph data ,mining the frequent subgraph patterns from Uncertain Graph data is a challenging ...
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An Approach for Keyword Searching in Uncertain Graph Data
... useful data from database, graph ...on Graph data has become a hot spot, and it is generally applied to the field of information ...traditional graph database, the research on keyword ...
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Keyword Search on Hyper Graph Data Bases
... Archiving graph data is necessary in many applications. This graph data is handled with graph ...temporal graph. The temporal graph consists of temporal ...Temporal ...
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Applications of flexible querying to graph data
... Query evaluation commences when Query submitter invokes Query manager, passing it a CRPQ query that is to be evaluated. Query manager invokes Query Tree builder to construct the query tree, comprising inner nodes ...
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On Graph Perturbation Theory and Algorithms for Scalable Mining of Noisy and Uncertain Graph Data with Knowledge Priors.
... Medline data to generate larger ...original graph, linearly increasing the number of vertices, edges, perturbation size, maximal cliques, and resultant index ...our graph from 1 to 6 as we increased ...
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ADI-Minebio: A Graph Mining Algorithm for Biomedical Data
... the graph database using a new index structure also proposed in this article, called ADI-bio, which is specially organized to structure data from a database with information of patients of a given ...a ...
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AN INNOVATIVE TECHNIQUE IN DATA STRUCTURE TO FIND MINIMUM SPANNING TREE OF GRAPH
... In data structure Tree is non linear data structure where data items can be stored and relationship can be established in hierarchical ...of graph[2]. A graph data structure ...
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Probabilistic RDF Graphs for Keyword Search
... useful data from ...on graph data has become a hot spot, and it is generally applied to the field of information ...traditional graph database, the research on keyword search has already ...
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A Graph Model Object Oriented Database For Data Mining
... in data processing activities like computer aided manufacturing and design, web-mining, knowledge-based systems, software engineering and multimedia systems – OODBMSs were adopted by modelers and database czars in ...
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Visibility Graph Network Analysis of Air Quality Data
... From Figure 3, the authors can find the most important date are in spring for the previous year while in winter for the later years. The node 121 has the largest degree in 2011. The date of the original data ...
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Data-ink Ratio and Task Complexity in Graph Comprehension
... high data-ink bar graph would take longer to interpret than the other versions, although one did note that familiarity with the high data-ink style might make it easier to ...the graph as ...
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MathMakes^pgs.164-197^5
... You will conduct a survey to collect data on your topic. Record the data on a tally chart. Graph the data. Look at the graph. How accurate were your predictions?. connect[r] ...
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Comparative Analysis of Dynamic Graph Techniques and Data Structure
... Dynamic graph algorithm handle the graph problems, where the graph undergoes the series of updates including the insertion of an edge and deletion of an edge and answers the various queries like ...
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A Conceptual Graph Description of Medical data for Brain Tumour Classification
... (MRI) data, Magnetic Resonance Spectroscopy (MRS) data and genomic DNA profile infor- ...MRS data can aid in improving brain tumour ...MRS data, as well as genomic DNA micro-array information ...
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PSK Modulator Design Implementation using GNU Radio
... The implementation of SDR takes large amount of time, effort and cost as it has to process tremendous amount of data in real time. As MATLAB and other similar tools cannot process such huge amount of data ...
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mousetrapcar-studentguide
... known data points that result in a line parallel to the tangent line ...of data points and not a continuous function, we will use the approximation to estimate the ...
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Challenges and Opportunities for Visualization and Analysis of Graph-Modeled Medical Data
... the graph is called undirected, this means that, it is possible walk through the edge in both direction; the edge ( a, b ) is the same of ( b, a ) ...the graph is called directed graph or digraph. ...
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A Generalization Strategy for Discrete Area Feature by Using Stroke Grouping and Polarization Transportation Selection
... Discrete area feature normally presents like linear patterns, such as collinear or curvilinear pattern, this pattern is the main structure of the original data, which could be perceived visually by map users. ...
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