1
Aloke Guha, Joan Wrabetz, Shumin Wu, Venky Madireddi: Method and system for business intelligence analytics on unstructured data. Aumni Data, Patterson Thuente Christensen Pedersen P A, September 11, 2012: US08266148 (63 worldwide citation)

Various embodiments of the present invention disclose a method for Business Intelligence (BI) metrics on unstructured data. Unstructured data is collected from numerous data sources that include unstructured data as ingested data. The ingested data is indexed and represents hyperlink and extracted d ...


2
Guha Aloke, Wrabetz Joan: Adaptive archive data management. Aumni Data, Guha Aloke, Wrabetz Joan, YOUNG Brian N, January 15, 2009: WO/2009/009192 (2 worldwide citation)

In one embodiment, input is received from a user defining a classification and an analytic for the classification. Multiple classifications and analytics may be defined by a user. A definition of relevance parameters is determined that characterize the classification and a set of analytics measures ...


3
Joan Wrabetz, Aloke Guha: Adaptive archive data management. Aumni Data, Patterson Thuente Christensen Pedersen P A, March 6, 2012: US08131684 (1 worldwide citation)

In one embodiment, input is received from a user defining a classification and an analytic for the classification. Multiple classifications and analytics may be defined by a user. A definition of relevance parameters is determined that characterize the classification and a set of analytics measures ...


4
Aloke Guha, Joan Wrabetz: Adaptive archive data management. Aumni Data, Trellis Intellectual Property Law Group PC, October 23, 2008: US20080263029-A1

In one embodiment, input is received from a user defining a classification and an analytic for the classification. Multiple classifications and analytics may be defined by a user. A definition of relevance parameters is determined that characterize the classification and a set of analytics measures ...


5
Aloke Guha: Adaptive data classification for data mining. Aumni Data, Aloke Guha, June 25, 2009: US20090164416-A1

A method and system for adaptive classification during information retrieval from unstructured data are provided. The method includes receiving input from a user defining a classification. A sample set of unstructured data based on the user defined classification defined is determined. The sample se ...