frequent subgraph
A survey of frequent subgraph mining algorithms
... a subgraph may contribute to the support count for a candidate subgraph if it is in some sense similar to the ...all frequent subgraphs, but the nature of the approximate graph comparison often leads ...
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A Survey of Frequent Subgraph Mining algorithms for Uncertain Graph Data
... WMUSE is the modified algorithm to MUSE by assigning weight factor w(0,1) to the edges of embeddings includes in the identified frequent subgraph pattern. At every iteration if any embedding traversed ...
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An iterative mapreduce based frequent subgraph mining algorithm with load balancing
... including frequent itemset mining, sequential pattern mining and so forth. Frequent subgraphs are subgraphs found from a collection of graphs or single large graph with support no less than a user-specified ...
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Frequent Subgraph Mining for Graph based Tamil Bibliographic Big Data Analytics
... Especially, Frequent Subgraph Mining (FSM) is an important technique for extracting similar patterns in the ...Many Frequent Subgraph Mining (FSM) algorithms are changing their faces to adopt ...
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Frequent Subgraph Mining Based Collaboration Pattern Analysis for Wikipedia
... the subgraph properties such as size and ...a frequent subgraph mining algorithm GRAMI, which is able to capture the real dynamic collaboration ...tive frequent fixed collaboration patterns ...
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A Novel Frequent Subgraph Mining Based Intelligent MapReducing Technique
... "Large-scale frequent subgraph mining in Mapreduce", in that they clearly described such as Mining continuous subgraphs from a substantial gathering of chart articles is a vital issue in a few ...
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1. A study on graph mining algorithms to discover frequent subgraph patterns from exact graph data and uncertain graph database
... the frequent subgraph patterns from uncertain Graph ...mining frequent subgraph patterns from certain Graph data ,mining the frequent subgraph patterns from Uncertain Graph data ...
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Development and application of ligand-based and structure-based computational drug discovery tools based on frequent subgraph mining of chemical structures
... Fast Frequent Subgraph Mining (FFSM) program developed in one of our laboratories (Huan, ...efficient subgraph enumeration operations, in addition to an algebraic graph framework developed to reduce ...
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Mining Frequent Subgraph by Incidence Matrix Normalization
... the frequent (k+1)-edge subgraphs are selected from TFGC(k+1) and saved into the set ...edge frequent subgraphs, denoted by F(k+1), are ...(k+1)-edge frequent subgraphs in G ...of subgraph ...
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Grasping frequent subgraph mining for bioinformatics applications
... Frequent subgraph mining deals with identifying frequently occurring subgraphs in a given graph ...A subgraph can be considered frequent if the number of its occur- rences within the dataset ...
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MEASURING THE QUALITY OF E SERVICES AND ITS IMPACT ON STUDENTS SATISFACTION AT JORDANIAN UNIVERSITIES
... mining frequent subgraph patterns ...discovering frequent subgraph patterns especially in interactive environments because it makes the mining process very ...If frequent ...
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Masculine Discrepancy Stress and Health Behavior Outcomes
... of frequent subgraph mining, the focus is on parallelizing the algorithms to increase the efficiency and handle large-scale graph ...parallel subgraph mining algorithm using MapReduce framework where ...
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Spatial motif discovery in papain-like cysteine protease family
... the frequent subgraph mining algorithm relies on sampling the local structural features, the method is quite sensitive to the small perturbations in the local structure which result from interacting with ...
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Vol 14, No 1 (2014)
... Frequent subgraph Mining algorithms were first examined from different viewpoints such as different ways of representing a graph ...Afterward, frequent subtrees traversal algorithms were examined ...
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Frequent and Significant Patterns Mining Using Approximate Patterns for Protein Structure Analysis
... mine frequent and significant patterns and find use in ...(Frequent SubGraph discovery) [9], gSpan (graph-based Substructure pattern mining) [10], and FFSM (Fast Frequent Subgraph ...
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Vertex unique labelled subgraph mining
... A frequent subgraph mining algorithm was applied to the tree representations and the resulting identified frequent subgraphs used to define a feature vector encoding which was then fed into a ...
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Mining Biological Network and genomes A Systematic Review
... Maximal frequent subgraph from the simplified graphs which are formalized from the ...A subgraph is frequent if its support is greater than (support threshold), and it is maximal if it is ...
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Bipartite Ramsey Numbers and Zarankiewicz Numbers
... In his 1930 paper [Rms30] on formal logic, Ramsey proved that if the r-combinations of an infinite class Γ are colored in c distinct colors, then there exists a subclass ∆ ⊂ Γ such that all of the r-combinations of ∆ are ...
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Subgraph Matching Using Graph Neural Network
... the subgraph on 5 nodes with graphs of 6 nodes to 10 ...the subgraph H in it. A subgraph H is included in the generated graph G to assure the exis- tence of the subgraph in ...
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Graphs without large bicliques and well quasi orderability by the induced subgraph relation
... Well-quasi-ordering is a highly desirable property and a frequently discovered concept in math- ematics and theoretical computer science [6, 8]. One of the most remarkable recent results in this area is the proof of ...
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