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Frequent pattern mining algorithms: A survey
This chapter will provide a detailed survey of frequent pattern mining algorithms. A wide
variety of algorithms will be covered starting from Apriori. Many algorithms such as Eclat …
variety of algorithms will be covered starting from Apriori. Many algorithms such as Eclat …
On graph query optimization in large networks
The dramatic proliferation of sophisticated networks has resulted in a growing need for
supporting effective querying and mining methods over such large-scale graph-structured …
supporting effective querying and mining methods over such large-scale graph-structured …
A survey of algorithms for dense subgraph discovery
In this chapter, we present a survey of algorithms for dense subgraph discovery. The
problem of dense subgraph discovery is closely related to clustering though the two …
problem of dense subgraph discovery is closely related to clustering though the two …
Graph-based substructure pattern mining with edge-weight
To represent complex inter-relationships among entities, weighted graphs are more useful
than their unweighted counterparts. In a transactional graph setting, researchers have made …
than their unweighted counterparts. In a transactional graph setting, researchers have made …
Graph data management and mining: A survey of algorithms and applications
Graph mining and management has become a popular area of research in recent years
because of its numerous applications in a wide variety of practical fields, including …
because of its numerous applications in a wide variety of practical fields, including …
Is JavaScript Call Graph Extraction Solved Yet? A Comparative Study of Static and Dynamic Tools
Code analysis is more important than ever because JavaScript is increasingly popular and
actively used, both on the client and server sides. Most algorithms for analyzing …
actively used, both on the client and server sides. Most algorithms for analyzing …
Mfl: Method-level fault localization with causal inference
Recent studies have shown that use of causal inference techniques for reducing
confounding bias improves the effectiveness of statistical fault localization (SFL) at the level …
confounding bias improves the effectiveness of statistical fault localization (SFL) at the level …
Static javascript call graphs: A comparative study
The popularity and wide adoption of JavaScript both at the client and server side makes its
code analysis more important than ever before. Most of the algorithms for vulnerability …
code analysis more important than ever before. Most of the algorithms for vulnerability …
Effect of developer collaboration activity on software quality in two large scale projects
Developers work together during software development and maintenance to resolve issues
and implement features in large software projects. The structure of their development …
and implement features in large software projects. The structure of their development …
Graph classification
Supervised learning on graphs is a central subject in graph data processing. In graph
classification and regression, we assume that the target values of a certain number of …
classification and regression, we assume that the target values of a certain number of …