Dell Products Inc.

Nilesh Devidas Modak

Siddharth Sreekumar

Saptarshi Ray

Suyash Sukhendu Joshi

Ravi Hs

Rahull Ranjit Borana

Analyzing data specifications, including receiving a plurality of data specifications associated with a plurality of computing components; tokenizing the data specifications; performing linear support vector classification (SVC) of the tokenized data specifications to classify each of the computing components into a respective category of computing component, wherein each category of computing product is associated with one or more attributes; for each attribute associated with the data specifications: identifying, from a plurality of models, one or more models associated with the attribute; extracting, using the identified models, the attribute data for the attribute associated with the data specifications; and storing, at an index and for each computing component, the category of the computing component and the attribute data for each attribute associated with the category of the computing component.

Analyzing data specifications

A system, method, and computer-readable medium are disclosed for improved segmentation analysis. In various embodiments, an artificial learning blended algorithm (ALBA) system&#x2014;is implemented. In various embodiments, the ALBA system includes an optimum cluster module to determine an optimum number of clusters for multiple clustering algorithms, and a validation cluster module to validate cluster algorithms using index validation techniques to determine a clustering algorithm from multiple clustering algorithms that use the determined optimum number of clusters.

Growing community of inventors

Maharashtra, India

Nilesh Devidas Modak