Work Files Saved Searches
   My Account                                                  Search:   Quick/Number   Boolean   Advanced   Derwent    Help   


 The Delphion Integrated View

  Buy Now:   Buy PDF- 19pp  PDF  |   File History  |   Other choices   
  Tools:  Citation Link  |  Add to Work File:    
  View:  Expand Details   |  INPADOC   |  Jump to: 
  Go to:  Derwent  
 Email this to a friend  Email this to a friend 
       
Title: US6094651: Discovery-driven exploration of OLAP data cubes
[ Derwent Title ]


Country: US United States of America

View Images High
Resolution

 Low
 Resolution

 
19 pages

 
Inventor: Agrawal, Rakesh; San Jose, CA
Sarawagi, Sunita; San Jose, CA

Assignee: International Business Machines Corporation, Armonk, NY
other patents from INTERNATIONAL BUSINESS MACHINES CORPORATION (280070) (approx. 44,393)
 News, Profiles, Stocks and More about this company

Published / Filed: 2000-07-25 / 1997-08-22

Application Number: US1997000916346

IPC Code: Advanced: G06F 17/30;
Core: more...
IPC-7: G06F 17/30;

ECLA Code: G06F17/30B;

U.S. Class: Current: 707/005; 707/002; 707/200; 707/E17.005;
Original: 707/005; 707/002; 707/200;

Field of Search: 707/005,2,3,102,1,20,200 706/062 702/013 356/237.2 367/073

Priority Number:
1997-08-22  US1997000916346

Abstract: A method for locating data anomalies in a k dimensional data cube that includes the steps of associating a surprise value with each cell of a data cube, and indicating a data anomaly when the surprise value associated with a cell exceeds a predetermined exception threshold. According to one aspect of the invention, the surprise value associated with each cell is a composite value that is based on at least one of a Self-Exp value for the cell, an In-Exp value for the cell and a Path-Exp value for the cell. Preferably, the step of associating the surprise value with each cell includes the steps of determining a Self-Exp value for the cell, determining an In-Exp value for the cell, determining a Path-Exp value for the cell, and then generating the surprise value for the cell based on the Self-Exp value, the In-Exp value and the Path-value.

Attorney, Agent or Firm: Tran, Khanh Q.Banner & Witcoff, Ltd. ;

Primary / Asst. Examiners: Black, Thomas G.; Rones, Charles L.

Maintenance Status: E1 Expired  Check current status

INPADOC Legal Status: Show legal status actions

Parent Case:

CROSS-REFERENCE TO RELATED APPLICATIONS
    The present application is related to an application entitled "Automatic Subspace Clustering Of High-dimensional Data For Data Mining Applications," by Dimitrios Gunopulos, Johannes Gehrke, Prabhakar Raghavan and Rakesh Agrawal, Ser. No. 08/916,347 now pending, having common ownership, filed concurrently with the present application, and incorporated by reference herein.

Family: None

First Claim:
Show all 44 claims
What is claimed is:     1. A method for locating data anomalies in a k-dimensional data cube, the method comprising the steps of:
  • associating a surprise value with each cell of a data cube, the surprise value associated with a cell representing a degree of anomaly of a content of the cell with respect to other cells of the data cube; and
  • indicating a data anomaly when the surprise value associated with a cell exceeds a predetermined exception threshold.


Background / Summary: Show background / summary

Drawing Descriptions: Show drawing descriptions

Description: Show description

Forward References: Show 83 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (83)   |   Backward references (26)   |   Citation Link

Buy
PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 8pp US4719571  1988-01 Rissanen et al.  International Business Machines Corporation Algorithm for constructing tree structured classifiers
Buy PDF- 23pp US4956774  1990-09 Shibamiya et al.  International Business Machines Corporation Data base optimizer using most frequency values statistics
Buy PDF- 31pp US5031206  1991-07 Riskin  Fon-Ex, Inc. Method and apparatus for identifying words entered on DTMF pushbuttons
Buy PDF- 25pp US5168565  1992-12 Morita  Ricoh Company, Ltd. Document retrieval system
Buy PDF- 63pp US5263120  1993-11 Bickel   Adaptive fast fuzzy clustering system
Buy PDF- 70pp US5321612  1994-06 Stewart  Swift Energy Company Method for exploring for hydrocarbons utilizing three dimensional modeling of thermal anomalies
Buy PDF- 25pp US5359724  1994-10 Earle  Arbor Software Corporation Method and apparatus for storing and retrieving multi-dimensional data in computer memory
Buy PDF- 19pp US5418951  1995-05 Damashek  The United States of America as represented by the Director of National Security Agency Method of retrieving documents that concern the same topic
Buy PDF- 63pp US5446908  1995-08 Kevorkian  The United States of America as represented by the Secretary of the Navy Method and apparatus for pre-processing inputs to parallel architecture computers
Buy PDF- 22pp US5511190  1996-04 Sharma et al.  Tandem Computers, Inc. Hash-based database grouping system and method
Buy PDF- 15pp US5598559  1997-01 Chaudhuri  Hewlett-Packard Company Method and apparatus for optimizing queries having group-by operators
Buy PDF- 61pp US5655137  1997-08 Kevorkian  The United States of America as represented by the Secretary of the Navy Method and apparatus for pre-processing inputs to parallel architecture computers
Buy PDF- 16pp US5669006  1997-09 Joskowicz et al.  International Business Machines Corporation Method for automatically obtaining spatial layout for multimedia presentations
Buy PDF- 26pp US5713020  1998-01 Reiter et al.  Microsoft Corporation Method and system for generating database queries containing multiple levels of aggregation
Buy PDF- 18pp US5742283  1998-04 Kim  International Business Machines Corporation Hyperstories: organizing multimedia episodes in temporal and spatial displays
Buy PDF- 37pp US5784540  1998-07 Faltings  Ecole Polytechnique Federal de Lausanne Systems for solving spatial reasoning problems via topological inference
Buy PDF- 19pp US5799300  1998-08 Agrawal et al.  International Business Machines Corporations Method and system for performing range-sum queries on a data cube
Buy PDF- 18pp US5799311  1998-08 Agrawal et al.  International Business Machines Corporation Method and system for generating a decision-tree classifier independent of system memory size
Buy PDF- 31pp US5808966  1998-09 Calvert et al.  Exxon Production Research Company Seismic attribute analysis using inflection point intervals
Buy PDF- 15pp US5822751  1998-10 Gray et al.  Microsoft Corporation Efficient multidimensional data aggregation operator implementation
Buy PDF- 40pp US5825482  1998-10 Nikoonahad et al.  Kla-Tencor Corporation Surface inspection system with misregistration error correction and adaptive illumination
Buy PDF- 29pp US5832475  1998-11 Agrawal et al.  International Business Machines Corporation Database system and method employing data cube operator for group-by operations
Buy PDF- 17pp US5884320  1999-03 Agrawal et al.  International Business Machines Corporation Method and system for performing proximity joins on high-dimensional data points in parallel
Buy PDF- 21pp US5890151  1999-03 Agrawal et al.  International Business Machines Corporation Method and system for performing partial-sum queries on a data cube
Buy PDF- 13pp US5890191  1999-03 Agrawal et al.  Motorola, Inc. Method and apparatus for providing erasing and programming protection for electrically erasable programmable read only memory
Buy PDF- 18pp US5926820  1999-07 Agrawal et al.  International Business Machines Corporation Method and system for performing range max/min queries on a data cube
       
Foreign References: None

Other Abstract Info: DERABS G2000-637305 DERABS G2000-637305

Other References:
  • Ho et al., "Range Queries in OLAP Data Cubes", SIGMOD '97 AZ. USA, p.73-88, May 1997.
  • Ho et al., "Partial-Sum Queries in OLAP Data Cubes Using Covering Codes", PODS'97 Tucson AZ ACM, p. 228-237, 1997.
  • Harinarayan et al., "Implementing Data Cubes Efficiently", SIGMOD '96 ACM, p. 205-216, 1996.
  • Hacid et al., "A Rule-Baes Data Manipulation Language for OLAP Systems", Data Warehouse Quality, p. 1-2, 1997.
  • Hacid et al., "An Object-Centered Multi-dimensional Data Model with Hierarchically Structured Dimensions", IEEE, p. 65-72, Nov. 1997.
  • Gray et al., "Data Cube: A Relational Aggregation Operator Generalzing Group-By, Cross-Tab, and Sub-Totals", Microsoft Research Advanced Technology Division, p. 1-18, Jul. 1995.
  • Taylor, Art, "Three Tiers for Web OLAP", Database Programming & Design, vol. 1, No. 7, p. 55-58, Jul. 1998.


  • Inquire Regarding Licensing

    Powered by Verity


    Plaques from Patent Awards      Gallery of Obscure PatentsNominate this for the Gallery...

    Thomson Reuters Copyright © 1997-2010 Thomson Reuters 
    Subscriptions  |  Web Seminars  |  Privacy  |  Terms & Conditions  |  Site Map  |  Contact Us  |  Help