… data, mining multi-media data, mining social networks and graph data, mining spatial and
temporal data, … In Part I we discuss graph patterns that appear often in real-world graphs, with …

… of graph-based optimization techniques to enhance yield management and minimize
transportation costs in industrial operations, particularly focusing on mining. By representing …

Biomedical knowledge graphs (KGs), which can help with the understanding of complex
biological systems and pathologies, have begun to play a critical role in medical practice and …

… data in the mining industry, fundamental problems of big data, especially big data management
(BDM), in the mining … This work provides a brief introduction to big data and BDM, and it …

… such tuples and graph data are specific to … on graph databases based on non-graph data
models (eg, document stores) as data replication, there is a significant fraction of native graph …

… uses graph data. The developers explained the applications of their customers. We asked
questions about the details of the graph data, the graph computations they run, and the graph …

… a unified graph data store abstracted away from the specialized graph systems… datastore
design and management. GraphOne offers diverse data access at two granularity levels of data …

… the essence of data mining and a discussion of how data mining is treated by … mine data.
This chapter is also the place where we summarize a few useful ideas that are not data mining …

… graph physical operators. In particular, in Chapters 2 and 3 we introduce the property graph
data model and a core property graph … of the art in graph constraints and query specification. …

… query graphs have become indispensable for engineers and data scientists alike. This article
introduces JGraphT, a library that contains very efficient and generic graph data structures …