



 
Notice of Essential ClaimsTo: Members of the Data Mining Group ("DMG") From: Center for Computational Science Research, Inc. ("CCSR") Subject: Notice of Essential Claims Date: July 17, 2019 In accordance with DMG’s Intellectual Property Rights (IPR) Policy (the "Policy"), SAS Institute Inc. ("SAS") has notified CCSR that US Patents 8,010,324 and 8,014,983, described on Exhibit A, may contain Essential Claims or claims that might become Essential Claims with respect to the PMML 4.3 and later versions Standard Specification being developed by DMG’s Predictive Modeling Markup Language (PMML) Working Group. Upon request SAS will grant to any DMG Party or third party a license under any such Essential Claims on RF on RAND Terms for (a) Licensed Products that implement any DMG Final Deliverable developed by the Predictive Modeling Markup Language (PMML) Working Group incorporating or building upon the PMML 4.3 and later versions Standard Specification, and (b) Licensed Products that implement any Final Maintenance Deliverable with respect to that DMG Final Deliverable developed by the Predictive Modeling Markup Language (PMML) Working Group. Please contact Timothy K. Wilson, Tim.Wilson@sas.com, at SAS in order to request such a license. Capitalized terms used herein and not defined have the meanings set forth in the Policy.
Exhibit APatent Number: 8,010,324 Title: Computerimplemented system and method for storing data analysis models Abstract: Computerimplemented systems and methods for processing time series data that is indicative of a data generation activity occurring over a period of time. A model specification hierarchical data structure is used for storing characteristics that define a time series model. A fitted model hierarchical data structure stores characteristics that define a fitted time series model. The characteristics of the fitted time series model are defined through an application of the time series model to the time series data. Patent Number: 8,014,983 Title: Computerimplemented system and method for storing data analysis models Abstract: Computerimplemented systems and methods for processing time series data that is indicative of a data generation activity occurring over a period of time. A model specification hierarchical data structure is used for storing characteristics that define a time series model. A fitted model hierarchical data structure stores characteristics that define a fitted time series model. The characteristics of the fitted time series model are defined through an application of the time series model to the time series data. 