Analytics over big graphs is becoming a first-class challenge in database research, with fast-growing interest from both the academia and the industrial community. This problem arises in several application scenarios, ranging from social networks to largescale network systems, from knowledge discovery to cybersecurity, and so forth. Following this major trend, this paper explores actual state-of-the-art results in the area of analytics over big graphs and discusses open research issues and actual trends in such area
In the past few years, there has been a rapid growth in innovative ideas and developments in the fie...
This book has a collection of articles written by Big Data experts to describe some of the cutting-e...
Recent years have witnessed an explosion in size of graph data and complexity of graph analytics in ...
Graphs are very important parts of Big Data and widely used for modelling complex structured data wi...
Large volumes of graph-structured data are becoming increasingly prevalent in areas such as: soci...
AbstractBeing a widely adapted and acknowledged practice for the representation of inter- and intra-...
This paper gives an overview on the fundamental concepts of big data and its characteristics. We hav...
As graph data becomes ubiquitous in modern computing, developing systems to efficiently process larg...
Data analysis, data management, and big data play a major role in both social and business perspecti...
International audienceBig graph mining is an important research area and it has at-tracted considera...
Big Data Analytics has been gaining much focus of attention lately as researchers from industry and ...
Many problems from real life deal with the generation of enormous, varied, dynamic, and interconnect...
This handbook offers comprehensive coverage of recent advancements in Big Data technologies and rela...
With continued advances in science and technology, big graph (or network) data, such as World Wide W...
Graphs naturally represent information in a wide range of disciplines, from social science to biolog...
In the past few years, there has been a rapid growth in innovative ideas and developments in the fie...
This book has a collection of articles written by Big Data experts to describe some of the cutting-e...
Recent years have witnessed an explosion in size of graph data and complexity of graph analytics in ...
Graphs are very important parts of Big Data and widely used for modelling complex structured data wi...
Large volumes of graph-structured data are becoming increasingly prevalent in areas such as: soci...
AbstractBeing a widely adapted and acknowledged practice for the representation of inter- and intra-...
This paper gives an overview on the fundamental concepts of big data and its characteristics. We hav...
As graph data becomes ubiquitous in modern computing, developing systems to efficiently process larg...
Data analysis, data management, and big data play a major role in both social and business perspecti...
International audienceBig graph mining is an important research area and it has at-tracted considera...
Big Data Analytics has been gaining much focus of attention lately as researchers from industry and ...
Many problems from real life deal with the generation of enormous, varied, dynamic, and interconnect...
This handbook offers comprehensive coverage of recent advancements in Big Data technologies and rela...
With continued advances in science and technology, big graph (or network) data, such as World Wide W...
Graphs naturally represent information in a wide range of disciplines, from social science to biolog...
In the past few years, there has been a rapid growth in innovative ideas and developments in the fie...
This book has a collection of articles written by Big Data experts to describe some of the cutting-e...
Recent years have witnessed an explosion in size of graph data and complexity of graph analytics in ...