Thomas Hill

GOVERNING PROCESSING STEPS FOR EFFECTIVE MANAGEMENT OF ANALYTIC PIPELINES TO WHICH THEY CONTRIBUTE

SYSTEMS AND METHODS TO SCREEN A PREDICTIVE MODEL FOR RISKS OF THE PREDICTIVE MODEL

Adaptive filtering and modeling via adaptive experimental designs to identify emerging data patterns from large volume, high dimensional, high velocity streaming data

Adaptive filtering and modeling via adaptive experimental designs to identify emerging data patterns from large volume, high dimensional, high velocity streaming data

SYSTEM FOR EFFICIENT INFORMATION EXTRACTION FROM STREAMING DATA VIA EXPERIMENTAL DESIGNS

Multi-method system for optimal predictive model selection

SYSTEM FOR EFFICIENT INFORMATION EXTRACTION FROM STREAMING DATA VIA EXPERIMENTAL DESIGNS

Process control tool for processing big and wide data

Graph theory and network analytics and diagnostics for process optimization in manufacturing

System for rapid identification of sources of variation in complex manufacturing processes

System for Managing Effective Self-Service Analytic Workflows

Detecting important variables and their interactions in big data

Method for in-database feature selection for high-dimensional inputs

Auto query construction for in-database predictive analytics

Virtualizing Data Processing for Analytics and Scoring in Distributed Heterogeneous Data Environments

Method for performing in-database distributed advanced predictive analytics modeling via common queries

Graph theory and network analytics and diagnostics for process optimization in manufacturing

Adaptive sampling via adaptive optimal experimental designs to extract maximum information from large data repositories

Automatic optimization of continuous processes

Method and System for Optimizing Industrial Furnaces (Boilers) through the Application of Recursive Partitioning (Decision Tree) and Similar Algorithms Applied to Historical Operational and Performance Data