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A survey of community search over big graphs
With the rapid development of information technologies, various big graphs are prevalent in
many real applications (eg, social media and knowledge bases). An important component of …
many real applications (eg, social media and knowledge bases). An important component of …
String similarity search and join: a survey
String similarity search and join are two important operations in data cleaning and
integration, which extend traditional exact search and exact join operations in databases by …
integration, which extend traditional exact search and exact join operations in databases by …
Data analytics competency for improving firm decision making performance
This study develops and validates the concept of Data Analytics Competency as a five
multidimensional formative index (ie, data quality, bigness of data, analytical skills, domain …
multidimensional formative index (ie, data quality, bigness of data, analytical skills, domain …
[PDF][PDF] Effective community search for large attributed graphs
Given a graph G and a vertex q∈ G, the community search query returns a subgraph of G
that contains vertices related to q. Communities, which are prevalent in attributed graphs …
that contains vertices related to q. Communities, which are prevalent in attributed graphs …
Attribute truss community search
Recently, community search over graphs has attracted significant attention and many
algorithms have been developed for finding dense subgraphs from large graphs that contain …
algorithms have been developed for finding dense subgraphs from large graphs that contain …
[PDF][PDF] Critical data challenges in measuring the performance of sustainable development goals: Solutions and the role of big-data analytics
In 2015, 193 member states of the UN adopted a 15-year sustainable plan—the 2030
Agenda—to work toward achieving the Sustainable Development Goals (SDGs) by 2030 …
Agenda—to work toward achieving the Sustainable Development Goals (SDGs) by 2030 …
A survey on deep learning in big data
M Gheisari, G Wang… - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
Big Data means extremely huge large data sets that can be analyzed to find patterns, trends.
One technique that can be used for data analysis so that able to help us find abstract …
One technique that can be used for data analysis so that able to help us find abstract …
Optimal suffix tree construction with large alphabets
M Farach - … 38th Annual Symposium on Foundations of …, 1997 - ieeexplore.ieee.org
The suffix tree of a string is the fundamental data structure of combinatorial pattern matching.
Weiner (1973), who introduced the data structure, gave an O (n)-time algorithm for building …
Weiner (1973), who introduced the data structure, gave an O (n)-time algorithm for building …
Exploring factors and impact of blockchain technology in the food supply chains: An exploratory study
Blockchain technology (BCT) has been proven to have the potential to transform food supply
chains (FSCs) based on its potential benefits. BCT promises to improve food supply chain …
chains (FSCs) based on its potential benefits. BCT promises to improve food supply chain …
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from
the steep learning curve of mastering a structured query language and understanding …
the steep learning curve of mastering a structured query language and understanding …