Apache Spark has emerged as one of the most powerful tools for big data processing providing capabilities for handling vast datasets quickly and efficiently. It offers a unified analytics engine for ...

For example, given a query like the one below, you know that somewhere in the Flink runtime some data structure has to be maintaining a counter for each URL, but the details are all taken care of ...

We introduce graph wedgelets - a tool for data compression on graphs based on the representation of signals by piecewise constant functions on adaptively generated binary graph partitionings. The ...

In the tests, CSIvA outperformed all baselines, indicating its ability to effectively induce causal structures in realistic real-world CBNs. Overall, the results show the proposed CSIvA generalizes ...

In this article, to reduce the data storage cost of edge servers, we design a Graphpartition based storage strategy for DAG-Blockchain (GpDB), equipped with a graph partition algorithm based on ...

Implementation of data structures (Lists, Stacks, Queues, Trees, Balanced Search Trees, Hashing, Graphs); Implementation of algorithms (Sorting and searching, Recursion, Graph algorithms). Emphasizing ...