A Cloud-based, online service
type graph data science platform (SaaS) which may be conveniently accessed anytime, anywhere.
A Cloud-based online service type graph data science platform (SaaS)
You can conveniently analyze graph data within big data through various methods anytime, from anywhere.
With NetMiner 365, you can understand the graph structure, apply graph machine learning technology to identify hidden relationships, and construct a predictive model.
It is a service-type software that configures service specifications according to the needs of institutions and analysts, and charges for usage (Cloud native SaaS).
Key features of NetMiner 365
NetMiner 365 provides various data analytical methods such as data management,
graph analysis, graph machine learning, machine learning, statistics, and the graph visualization
function to help the user to intuitively understand the data.
You can promptly upload large amounts of the data stored on DB or files,
and conveniently extract and organize relational data from big data.
In addition, various preprocessing functions appropriate for the characteristics
of the graph data are provided. For example, the Query function, which can
extract and filter data based on a graph based on conditions, is an appropriate
tool for big data processing.
Through a comprehensive graph analysis (social network analysis) function,
you can measure the importance (Centrality) of nodes (entities) and perform
clustering (Cohesive Group, Equivalence Cluster) based on the links (relationships)
Graph machine learning, machine learning,
and deep learning
NetMiner 365 provides graph machine learning, machine learning, and
deep learning techniques which can help classify the data and construct
predictive models. It also provides graph machine learning algorithms
such as GCN and Node2Vec that can learn graph data, universal machine
learning algorithms such as Naïve Bayes, SVM, CART, and k-means, deep
learning algorithms (MLP), and statistical functions.
Data can be intuitively understood through various charts.
Beyond the basic charts, charts for complex data such as
Parallel Coordinates and Treemap are also provided.
You can intuitively check the structural characteristics of graphs
through graph visualization. In addition, the styling features allow
you to express the required information in the graph image.
Analysis workflow combining NetMiner and NetMiner365
The integration of NetMiner and NetMiner365 helps you understand data to make better decisions.