As datasets gain more dimensions (features), the number of points to evaluate increases exponentially, requiring sophisticated density estimation and reduction techniques.
Moving from summarized data to detailed views. Grid Miner
By embedding these within a grid infrastructure, GridMiner enables researchers to perform complex workflows on "unmanageable volumes of data" that would be impossible to process locally. Tackling Technical Obstacles As datasets gain more dimensions (features), the number
Executes algorithms in parallel across multiple sites to avoid the bottleneck of a single machine. As datasets gain more dimensions (features)
Implementing a system like GridMiner requires solving several high-level computing problems:
GridMiner acts as an "open service system" that covers the entire knowledge life cycle—from discovery in distributed repositories to processing and sharing that knowledge as input for further discovery. Core Capabilities: OLAP and Knowledge Discovery