Which data sources does Miner support?

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The FusionInsight Miner cluster and FusionInsight HD cluster cooperate seamlessly to directly read data from the HDFS or Hive component.
You need to add the source data to HDFS or Hive when performing data previewing and modeling operations.

Other related questions:
What are the data sources of Miner?
The FusionInsight Miner cluster and FusionInsight HD cluster cooperate seamlessly to directly read data from the HDFS or Hive component. You need to add the source data to HDFS or Hive when performing data previewing and modeling operations.

Data sources supported by FusionInsight Miner in data mining
The FusionInsight Miner cluster and FusionInsight HD cluster cooperate seamlessly to directly read data from the HDFS or Hive component. You need to add the source data to HDFS or Hive when performing data previewing and modeling operations.

Which model algorithms does FusionInsight Miner support?
FusionInsight Miner is already equipped with a machine learning database. The model operators you choose determine the data mining algorithms to be executed. Currently, FusionInsight Miner supports multiple data model algorithms, such as classification algorithms (Random Forest, Logistic Regression, and Support Vector Machine), clustering algorithms (Affinity Propagation and DBScan), and collaborative filtering algorithms (Collaborative Filtering).

Which algorithms are supported by FusionInsight Miner?
FusionInsight Miner is already equipped with a machine learning database. The model operators you choose determine the data mining algorithms to be executed. Currently, FusionInsight Miner supports multiple data model algorithms, such as classification algorithms (Random Forest, Logistic Regression, and Support Vector Machine), clustering algorithms (Affinity Propagation and DBScan), and collaborative filtering algorithms (Collaborative Filtering).

How does Miner cooperate with SAS?
In actual applications, Miner and SAS are in supplementation relationship, where Miner is a strong bolster for SAS. In terms of structure, Miner can interconnect with SAS. Advantages of Miner: 1. Supports massive data computing with high performance 2. Supports scenario-related data mining algorithms Disadvantages of Miner: The deployment is complex, so the enterprise personnel need to have certain technical skills. Advantages of SAS: Mature data mining solution Disadvantages of SAS: 1. High CPU cost 2. Limited local data processing capability. Only 100 GB or smaller amounts of data can be processed.

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