1
Rakesh Agrawal, Andreas Arning, Roland Seiffert, Ramakrishnan Srikant: Self-adaptive method and system for providing a user-preferred ranking order of object sets. International Business Machines Corporation, Driggs Lucas Brubaker & Hogg, April 9, 2002: US06370526 (153 worldwide citation)

A method and system for presenting a group of objects in a ranking order. Objects are ranked according to user preferences by first observing the access order of a related group of objects in relation to a predetermined access hypothesis. A user preference model is then adapted to correspond to any ...


2
Rakesh Agrawal, Ramakrishnan Srikant: System and method for mining generalized association rules in databases. International Business Machines Corporation, Baker Maxham Jester & Meador, March 25, 1997: US05615341 (144 worldwide citation)

A system and method for discovering consumer purchasing tendencies includes a computer-implemented program which identifies consumer transaction itemsets that are stored in a database and which appear in the database a user-defined minimum number of times, referred to as minimum support. The itemset ...


3
Rakesh Agrawal, Roberto Javier Bayardo, Dimitrios Gunopulos, Ching Tien Howard Ho, Sunita Sarawagi, John Christopher Shafer, Ramakrishnan Srikant: System and method for organizing repositories of semi-structured documents such as email. International Business Machines Corporation, John L Rogitz, July 15, 2003: US06592627 (98 worldwide citation)

A user can easily organize computerized document folders by associating a few sample documents in the document database with each folder. The present invention learns folder profiles based on the sample documents and moves the remaining documents into the folders accordingly. In this way, the user c ...


4
Rakesh Agrawal, Ramakrishnan Srikant: Method and system for mining quantitative association rules in large relational tables. International Business Machines Corporation, Khanh Q Tran, James C Pintner, March 3, 1998: US05724573 (92 worldwide citation)

A method and apparatus are disclosed for mining quantitative association rules from a relational table of records. The method comprises the steps of: partitioning the values of selected quantitative attributes into intervals, combining adjacent attribute values and intervals into ranges, generating ...


5
Rakesh Agrawal, Ramakrishnan Srikant: System and method for quickly mining association rules in databases. International Business Machines Corporation, Gray Cary Ware Freidenrich, August 11, 1998: US05794209 (79 worldwide citation)

A system and method for discovering consumer purchasing tendencies includes a computer-implemented program which identifies consumer transaction itemsets that are stored in a database and which appear in the database a user-defined minimum number of times, referred to as minimum support. Then, the s ...


6
Rakesh Agrawal, Ching Tien Ho, Ramakrishnan Srikant: Method and system for performing range-sum queries on a data cube. International Business Machines Corporations, Khanh Q Tran, August 25, 1998: US05799300 (77 worldwide citation)

A method for performing a range-sum query in a database, in which the data is represented as a multi-dimensional data cube, is disclosed. The method comprises the steps of: selecting a subset of the dimensions of the data cube; computing a set of prefix-sums along the selected dimensions, based on t ...


7
Rakesh Agrawal, Ramakrishnan Srikant, Brian Scott Lent: Mapping words, phrases using sequential-pattern to find user specific trends in a text database. International Business Machines Corporation, Gray Cary Ware Freidenrich, December 21, 1999: US06006223 (61 worldwide citation)

A method and apparatus for mining text databases, employing sequential pattern phrase identification and shape queries, to discover trends. The method passes over a desired database using a dynamically generated shape query. Documents within the database are selected based on specific classification ...


8
Rakesh Agrawal, Ramakrishnan Srikant: Method and system for mining generalized sequential patterns in a large database. International Business Machines Corporation, Khanh Q Tran, James C Pintner, April 21, 1998: US05742811 (52 worldwide citation)

A method and apparatus are disclosed for mining generalized sequential patterns from a large database of data sequences, taking into account user specified constraints on the time-gap between adjacent elements of the patterns, sliding time-window, and taxonomies over data items. The invention first ...


9
Rakesh Agrawal, Ramakrishnan Srikant, Brian Scott Lent: Method and apparatus for partitioning a database upon a timestamp, support values for phrases and generating a history of frequently occurring phrases. International Business Machines Corporation, Gray Cary Ware & Freidenrich, October 23, 2001: US06308172 (51 worldwide citation)

A method and apparatus for mining text databases, employing sequential pattern phrase identification and shape queries, to discover trends. The method passes over a desired database using a dynamically generated shape query. Documents within the database are selected based on specific classification ...


10
Nimrod Megiddo, Ramakrishnan Srikant: System and method for discovering predictive association rules. International Business Machines Corporation, Khanh Q Tran Esq, January 30, 2001: US06182070 (37 worldwide citation)

A system and method for determining the significance of association rules which are mined from a dataset is provided. Predictive association rules may also be generated based on the significance of an association rule. The statistical significance of an association rule may be used to estimate the n ...