1. A method for mining data characterized in that it generates generalized disjunctive association rules to capture the relationships between data items with reference to a given context to provide improved data analysis independently of taxonomies, comprising the steps of: generating a list of all possible data items that can influence said context, discovering association rules for data items in said list that co-occur based on a defined overlap threshold within said context, clustering said data items to form a set of generalized disjunctive rules based on a defined confidence (and/or support) threshold, and iterating the above steps until all items in said list are covered.