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For the Inventor, By the Inventor

Los Gatos, CA, United States of America

Jorma J Rissanen

This inventor holds 13 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 1978-1998.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Jorma J Rissanen. Retrieved from https://idiyas.com/inventor/jorma-j-rissanen

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 13

% Patents Active = 100.0

Average Co-Inventor Count = 2.3

ph-index = 13

Forward Citations = 912(Granted Patents)


Location History:

  • San Jose, CA (US) (1978)
  • Los Gatos, CA (US) (1981 - 1998)

Company Filing History:

goldMedal13 out of 166,409 
 
International Business Machines Corporation
 patents

Years Active: 1978-1998

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13 patents (USPTO):Explore Patents
1. 5787274 - Data mining method and system for generating a decision tree classifier (1998-07-28),
2. 5652581 - Distributed coding and prediction by use of contexts (1997-07-29),
3. 5640159 - Quantization method for image data compression employing context (1997-06-17),
4. 5550540 - Distributed coding and prediction by use of contexts (1996-08-27),
5. 5357250 - Adaptive computation of symbol probabilities in n-ary strings (1994-10-18),
6. 5045852 - Dynamic model selection during data compression (1991-09-03),
7. 4905297 - Arithmetic coding encoder and decoder system (1990-02-27),
8. 4652856 - Multiplication-free multi-alphabet arithmetic code (1987-03-24),
9. 4494108 - Adaptive source modeling for data file compression within bounded memory (1985-01-15),
10. 4467317 - High-speed arithmetic compression coding using concurrent value updating (1984-08-21),
11. 4463342 - Method and means for carry-over control in the high order to low order (1984-07-31),
12. 4286256 - Method and means for arithmetic coding utilizing a reduced number of (1981-08-25),
13. 4122440 - Method and means for arithmetic string coding (1978-10-24),

Title: Jorma J Rissanen: Innovator in Data Processing Technologies

Introduction

Jorma J Rissanen is a prominent inventor based in Los Gatos, California. He has made significant contributions to the field of data processing, holding a total of 13 patents. His work focuses on innovative methods for data mining and decision tree classification, which have applications in various industries.

Latest Patents

One of Rissanen's latest patents is a data mining method and system for generating a decision tree classifier. This invention outlines a method for creating a decision tree from a training set of records, involving pre-sorting records based on numeric attributes and pruning the tree using the Minimum Description Length (MDL) principle. Another notable patent is related to distributed coding and prediction using context-based models. This invention describes a distributed data processing system that performs encoding or prediction functions in an adaptive and optimal manner, significantly improving time complexity for processing input data strings.

Career Highlights

Jorma J Rissanen has had a distinguished career, primarily working with International Business Machines Corporation (IBM). His innovative approaches to data processing have positioned him as a key figure in the development of advanced data mining techniques.

Collaborations

Throughout his career, Rissanen has collaborated with notable colleagues, including Glen G Langdon, Jr. and Gilbert Furlan. These partnerships have contributed to the advancement of his research and the successful implementation of his inventions.

Conclusion

Jorma J Rissanen's contributions to data processing and mining technologies have had a lasting impact on the field. His innovative patents and collaborations continue to influence advancements in data analysis and decision-making systems.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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