
gSpan
 Referenced in 90 articles
[sw11908]
 gSpan: graphbased substructure pattern mining. We investigate ... approaches for frequent graphbased pattern mining in graph datasets and propose a novel algorithm ... called gSpan (graphbased substructure pattern mining), which discovers frequent substructures without candidate generation. gSpan ... builds a new lexicographic order among graphs, and maps each graph to a unique minimum...

ANF
 Referenced in 12 articles
[sw12276]
 scalable tool for data mining in massive graphs. Graphs are an increasingly important data source ... represented as a graph. This work presents a data mining tool, called ANF, that ... present some of our results from mining large graphs using...

PEGASUS
 Referenced in 6 articles
[sw17479]
 PEGASUS: A petascale graph mining system implementation and observations. In this paper, we describe ... PEGASUS, an open source Peta Graph Mining library which performs typical graph mining tasks such ... open source version of MapReduce. Many graph mining operations (PageRank, spectral clustering, diameter estimation, connected ... report our findings on several real graphs, including one of the largest publicly available...

GraphScope
 Referenced in 17 articles
[sw20427]
 GraphScope: Parameterfree Mining of Large Timeevolving Graphs. How can we find communities...

JUNG
 Referenced in 8 articles
[sw12112]
 number of algorithms from graph theory, data mining, and social network analysis, such as routines...

Gplag
 Referenced in 6 articles
[sw08961]
 detection of software plagiarism by program dependence graph analysis. Along with the blossom of open ... GPLAG, which detects plagiarism by mining program dependence graphs (PDGs). A PDG is a graphic...

AFGen
 Referenced in 13 articles
[sw06325]
 they contain. The descriptor space consists of graph fragments that can have three different types ... descriptors obtained by mining and analyzing the structure of the molecular graphs...

XSnippet
 Referenced in 5 articles
[sw21710]
 XSnippet: mining For sample code. It is common practice for software developers to use examples ... instantiation queries. Second, a novel graphbased code mining algorithm is provided to support...

ParMol
 Referenced in 1 article
[sw15010]
 frequent subgraph mining. Mining for frequent subgraphs in a graph database has become a popular ... rbitrary graph structures includes costly graph and subgraph isomorphism tests . In our ParMol package ... algorithms like parallel search, mining directed graphs, and mining in one big graph instead...

MC73
 Referenced in 5 articles
[sw12394]
 that include matrix reordering, graph partitioning, protein analysis, data mining, machine learning, and web search ... computing the Fiedler vector of large graphs based on the Trace Minimization algorithm. We compare...

Colibri
 Referenced in 6 articles
[sw12043]
 Colibri: fast mining of large static and dynamic graphs. Lowrank approximations of the adjacency...

ScaleGraph
 Referenced in 1 article
[sw20265]
 networks, web link graphs, internet topology graphs, etc. Mining these graphs to discover hidden knowledge...

DryadLINQ
 Referenced in 6 articles
[sw23712]
 domains such as webgraph analysis, largescale log mining, and machine learning. We show...

DMTL
 Referenced in 3 articles
[sw00213]
 Itemsets, Sequences, Trees and Graphs. DMTL utilizes a generic data mining approach, where all aspects...

iMapReduce
 Referenced in 2 articles
[sw27957]
 many applications such as data mining, web ranking, graph analysis, online social network analysis...

moleculaRnetworks
 Referenced in 2 articles
[sw27065]
 MoleculaRnetworks: an integrated graph theoretic and data mining tool to explore solvent organization in molecular ... algorithms, several of which are based on graph theory, that interrogate the solvent environment about ... trend, and correlation analysis, and other data mining. The goal of these scripts...

approxBlackhole
 Referenced in 1 article
[sw06906]
 Mining blackhole and volcano patterns in directed graphs: a general ... approach Given a directed graph, the problem of blackhole mining is to identify groups...

gBlackhole
 Referenced in 1 article
[sw06907]
 Mining blackhole and volcano patterns in directed graphs: a general ... approach Given a directed graph, the problem of blackhole mining is to identify groups...

babel
 Referenced in 1 article
[sw14594]
 allydetermined typographical (and other) rules, and hyphen...

LOGML
 Referenced in 3 articles
[sw02473]
 preparation constitute a very significant effort before mining can even be applied. We propose ... this task. XGMML is a graph description language and LOGML is a weblog report ... graph. We further illustrate the usefulness of LOGML in web usage mining; we show...