Abstract: Automated weighted graph construction from massive data is essential to weighted graph theory based data mining processes, where the edge weight computation is time consuming or even fails ...

Weiss, Data Structures and Algorithm Analysis in Java, Chapters 2-5, 6-6.4, 6.9, 7, 9-9.3, 9.5; class lecture notes; MapReduce paper.

Java is not the first language most programmers think of when they start projects involving artificial intelligence (AI) and machine learning (ML). Many turn first to Python because of the large ...

Big data refers to datasets that are too large, complex, or fast-changing to be handled by traditional data processing tools. It is characterized by the four V's: Big data analytics plays a crucial ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...

We cover some of the most popular big data tools for Java developers. Discover the best big data tools and what to look for. In the modern era of data-driven decision-making, the abundance of data ...

Abstract: Finding connectivity in graphs has numerous applications, such as social network analysis, data mining, intra-city or inter-cities connectivity, neural network, and many more. The deluge of ...