1
Agrawal Rakesh, Srikant Ramakrishnan: System and method for mining generalized association rules in databases. Ibm, November 13, 1996: EP0742524-A2 (10 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 ...


2
Agrawal Rakesh, Srikant Ramakrishnan: System and method for quickly mining association rules in databases. Ibm, October 2, 1996: EP0735497-A2 (6 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 ...


3
Rakesh Agrawal, Gerald George Kiernan, Srikant Ramakrishnan, Yirong Xu: System and method for order-preserving encryption for numeric data. International Business Machines Corporation, Jon A Gibbons, Fleit Gibbons Gutman Bongini & Bianco PL, January 18, 2011: US07873840 (5 worldwide citation)

A system, method, and computer program product to automatically eliminate the distribution information available for reconstruction from a disguised dataset. The invention flattens input numerical values into a substantially uniformly distributed dataset, then maps the uniformly distributed dataset ...


4
Agrawal Rakesh, Srikant Ramakrishnan: System and method for accessing data in a database. Ibm, September 4, 1996: EP0730240-A2 (2 worldwide citation)

A system and method for mining databases includes a computer-implemented program which identifies patterns of transaction sequences that are stored in a database and which recur in the database with a user-defined regularity. The invention first identifies which sequences are large, i.e., which recu ...


5
Agrawal Rakesh, Evfimievski Alexandre Valentinovich, Srikant Ramakrishnan: Database query processing across two private databases. International Business Machines Corporation, IBM United Kingdom, Agrawal Rakesh, Evfimievski Alexandre Valentinovich, Srikant Ramakrishnan, LITHERLAND David Peter, December 23, 2004: WO/2004/111873 (2 worldwide citation)

A system, method, and computer program product for processing a query spanning separate databases while revealing only minimal information beyond a query answer, by executing only specific information-limiting protocols according to query type.


6
Rakesh Agrawal, Gerald George Kiernan, Srikant Ramakrishnan, Yirong Xu: System and method for order-preserving encryption for numeric data. Fleit Gibbons Gutman Bongini & Bianco Pl, November 13, 2008: US20080282096-A1

A system, method, and computer program product to automatically eliminate the distribution information available for reconstruction from a disguised dataset. The invention flattens input numerical values into a substantially uniformly distributed dataset, then maps the uniformly distributed dataset ...


7
Agrawal Rakesh, Srikant Ramakrishnan: Method and system for searching documents with numbers. International Business Machines Corporation, IBM United Kingdom, BURT Roger James, November 6, 2003: WO/2003/091828

A system and method for using numbers to query a corpus of documents, particularly but not exclusively for data spaces that have low reflectivity, i.e., for a point xi described by one or more numbers, the data space does not contain very many permutations of the numbers. For each document to be sea ...


8
Bayardo Roberto J, Jain Rajat, Srikant Ramakrishnan, Tang Diane L: Expansion rule evaluation. Google, Bayardo Roberto J, Jain Rajat, Srikant Ramakrishnan, Tang Diane L, SILVERIO William R, November 6, 2008: WO/2008/134726

One aspect of the subject matter described in this specification can be embodied in computer-implemented methods that include the actions of determining a baseline performance that represents a performance of one or more content items; monitoring performance of content items selected in response to ...


9
Agrawal Rakesh, Srikant Ramakrishnan: Mining system for data base. Internatl Business Mach Corp &Lt IBM&Gt, November 1, 1996: JP1996-287106

PROBLEM TO BE SOLVED: To quickly attain the mining of a large data base by outputting a correlative formula based on the number of times a selected subset appears in the data base, and the number of time a related item set appears. SOLUTION: A mining kernel 16 performs access for deciding the first ...


10
Agrawal Rakesh, Srikant Ramakrishnan: System and method for mining successive pattern inside large-scale data base. Internatl Business Mach Corp &Lt IBM&Gt, October 11, 1996: JP1996-263346

PROBLEM TO BE SOLVED: To perform the quick mining of a data base by storing a sequence in the data base, providing a transaction divided timewise in the sequence, featuring the transaction by item sets and identifying a large-scale sequence inside the data base. SOLUTION: This system 10 is provided ...



Click the thumbnails below to visualize the patent trend.