Ex Parte Reddy et al - Page 5

            Appeal No. 2002-2318                                                      
            Application 09/652,520                                                    
            relies on Pirolli to show that “it is well known in the art               
            to use a threshold value in decision making.”  Based on                   
            Pirolli’s teaching, the examiner concludes it would have                  
            been obvious to utilize a descendant threshold value as a                 
            predetermined reference in Pouschine to limit the pre-                    
            computation of data cells [final rejection, page 5; answer,               
            page 4].                                                                  
                 Appellants first contend that Pirolli is non-analogous               
            art [brief, page 4].  According to appellants, because                    
            Pirolli’s threshold value is used to predict relevant                     
            documents in a web-based application, it has nothing to do                
            with a multidimensional database or the selective                         
            aggregation of members in a multidimensional data set [id.;               
            reply brief, page 2].  In response, the examiner argues                   
            Pirolli is analogous because it teaches querying a database               
            to enable a user to traverse a collection of linked                       
            documents [answer, page 3].                                               
                 Appellants also argue that even if Pirolli is analogous              
            art, the examiner’s combination of Pouschine and Pirolli                  
            does not teach the limitations of claim 1 [brief, page 5].                
            Appellants note that Pirolli’s “activation threshold” is                  
            used for determining the most visited web pages as part of a              
            web-page prediction process and does not teach or suggest                 
            determining the number of descendants of a member in a                    
            multidimensional database to determine whether an aggregated              
            data measure should be determined and stored [id.].                       


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