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A survey of uncertain data management
Uncertain data are data with uncertainty information, which exist widely in database
applications. In recent years, uncertainty in data has brought challenges in almost all …
applications. In recent years, uncertainty in data has brought challenges in almost all …
Mining uncertain graphs: An overview
Graphs play an important role in modern world, due to their widespread use for modeling,
representing and organizing linked data. Taking into consideration that most of the “killer” …
representing and organizing linked data. Taking into consideration that most of the “killer” …
Clustering large probabilistic graphs
We study the problem of clustering probabilistic graphs. Similar to the problem of clustering
standard graphs, probabilistic graph clustering has numerous applications, such as finding …
standard graphs, probabilistic graph clustering has numerous applications, such as finding …
Efficient probabilistic k-core computation on uncertain graphs
As uncertainty is inherent in a wide spectrum of graph applications such as social network
and brain network, it is highly demanded to re-visit classical graph problems in the context of …
and brain network, it is highly demanded to re-visit classical graph problems in the context of …
Discovering interesting patterns from hypergraphs
A hypergraph is a complex data structure capable of expressing associations among any
number of data entities. Overcoming the limitations of traditional graphs, hypergraphs are …
number of data entities. Overcoming the limitations of traditional graphs, hypergraphs are …
Reliable clustering on uncertain graphs
Many graphs in practical applications are not deterministic, but are probabilistic in nature
because the existence of the edges is inferred with the use of a variety of statistical …
because the existence of the edges is inferred with the use of a variety of statistical …
Efficient mining of frequent patterns on uncertain graphs
Uncertainty is intrinsic to a wide spectrum of real-life applications, which inevitably applies to
graph data. Representative uncertain graphs are seen in bio-informatics, social networks …
graph data. Representative uncertain graphs are seen in bio-informatics, social networks …
Efficient keyword search on uncertain graph data
As a popular search mechanism, keyword search has been applied to retrieve useful data in
documents, texts, graphs, and even relational databases. However, so far, there is no work …
documents, texts, graphs, and even relational databases. However, so far, there is no work …
A parallel approach for frequent subgraph mining in a single large graph using spark
Frequent subgraph mining (FSM) plays an important role in graph mining, attracting a great
deal of attention in many areas, such as bioinformatics, web data mining and social …
deal of attention in many areas, such as bioinformatics, web data mining and social …
Rare pattern mining: challenges and future perspectives
Extracting frequent patterns from databases has always been an imperative task for the data
mining community. Literature has endowed plentiful endeavors to this research area with …
mining community. Literature has endowed plentiful endeavors to this research area with …