Hashing techniques: A survey and taxonomy
With the rapid development of information storage and networking technologies, quintillion
bytes of data are generated every day from social networks, business transactions, sensors …
bytes of data are generated every day from social networks, business transactions, sensors …
Graph ensemble boosting for imbalanced noisy graph stream classification
Many applications involve stream data with structural dependency, graph representations,
and continuously increasing volumes. For these applications, it is very common that their …
and continuously increasing volumes. For these applications, it is very common that their …
Effectively and efficiently mining frequent patterns from dense graph streams on disk
P Braun, JJ Cameron, A Cuzzocrea, F Jiang… - Procedia Computer …, 2014 - Elsevier
In this paper, we focus on dense graph streams, which can be generated in various
applications ranging from sensor networks to social networks, from bio-informatics to …
applications ranging from sensor networks to social networks, from bio-informatics to …
Efficient attributed network embedding via recursive randomized hashing
© 2018 International Joint Conferences on Artificial Intelligence. All right reserved. Attributed
network embedding aims to learn a low-dimensional representation for each node of a …
network embedding aims to learn a low-dimensional representation for each node of a …
An approach for concept drift detection in a graph stream using discriminative subgraphs
The emergence of mining complex networks like social media, sensor networks, and the
world-wide-web has attracted considerable research interest. In a streaming scenario, the …
world-wide-web has attracted considerable research interest. In a streaming scenario, the …
Federated patient hashing
Privacy concerns on sharing sensitive data across institutions are particularly paramount for
the medical domain, which hinders the research and development of many applications …
the medical domain, which hinders the research and development of many applications …
Mobile testing in software industry using agile: challenges and opportunities
A Santos, I Correia - 2015 IEEE 8th International Conference …, 2015 - ieeexplore.ieee.org
The use of mobile devices grows significantly in all situations of day-to-day. The intense
rhythm of the mobile device market has been pushing the use of practical software …
rhythm of the mobile device market has been pushing the use of practical software …
-Ary Tree Hashing for Fast Graph Classification
Existing graph classification usually relies on an exhaustive enumeration of substructure
patterns, where the number of substructures expands exponentially wrt with the size of the …
patterns, where the number of substructures expands exponentially wrt with the size of the …
Scalable svm-based classification in dynamic graphs
Y Yao, L Holder - 2014 IEEE international conference on Data …, 2014 - ieeexplore.ieee.org
With the emergence of networked data, graph classification has received considerable
interest during the past years. Most approaches to graph classification focus on designing …
interest during the past years. Most approaches to graph classification focus on designing …
Hashing for adaptive real-time graph stream classification with concept drifts
Many applications involve processing networked streaming data in a timely manner. Graph
stream classification aims to learn a classification model from a stream of graphs with only …
stream classification aims to learn a classification model from a stream of graphs with only …