solutions the system generates a dictionary wherein each word in the text data set is identified and the number of documents containing these words is counted and a corresponding count is generated the documents are partitioned into clusters for each generated cluster the system sorts the dictionary terms in order of decreasing occurrence frequency it then determines a search space by selecting the top dictionary terms as specified by a user defined depth of search next the system chooses a set of terms from the search space as specified by a user defined value indicating the desired level of detail for each possible combination of frequent terms in the search space the system finds the set of examples containing all the terms and then determines if the frequency is sufficiently high and the overlap sufficiently low for this candidate set of examples to be a frequently asked question application_number US 93547301 A description an exemplary networked database system is shown in fig1 the system includes database system 104 network 102 and a plurality of helpdesk systems 100 a 100 z the helpdesk systems 100 a 100 z are communicatively connected to database system 104 by network 102 the helpdesk systems 100 a 100 z keep a log of each question received at the helpdesk and its corresponding solution these logs are then stored in the database system 104 the helpdesk systems 100 a 100 z may in turn obtain data from database system 104 by submitting queries through the network 104 the database system 104 performs the query operation by accessing data that satisfies the query conditions and transmits the.