The tool currently supports four operation modes: pfg — build a program dependence graph from the Python source.. Arguments:-i — a path to the source file.-o — a path to the output file. Two files ...

Learn about the most promising data mining techniques for the future, such as deep learning, graph mining, reinforcement learning, federated learning, and explainable AI.

With increasing adoption, the need for graph mining capabilities for the Semantic Web has emerged. We address that need through implementation of three popular iterative Graph Mining algorithms ...

Data mining is the process of extracting useful information from large and complex data sets, using techniques such as classification, clustering, association, regression, and anomaly detection.

To get the most out of the book, basic knowledge of Python, including pandas and NumPy, as well as some experience working with datasets is required. This book is also ideal for anyone interested in ...

A program dependence graph is a way of representing the code by showing its data dependencies and control dependencies. A change graph is a program dependence graph for the fragment of code changes ...