Company Filing History:

10 out of 164,108

International Business Machines Corporation

Years Active: 2012-2021

where 'Filed Patents' based on already Granted Patents

13 patents (USPTO):Sort by Forward Citations

Abstract keywords

1. 11150921 - Data visualizations selection (2021-10-19),

2. 10929471 - Sequential pattern mining (2021-02-23),

3. 10760916 - Methods and systems for determining shared routes (2020-09-01),

4. 10706816 - Implementing a fault tolerant color palette (2020-07-07),

5. 10229223 - Mining relevant approximate subgraphs from multigraphs (2019-03-12),

6. 9934327 - Mining relevant approximate subgraphs from multigraphs (2018-04-03),

7. 9829334 - Hedging risk in journey planning (2017-11-28),

8. 9489448 - Network graph evolution rule generation (2016-11-08),

9. 9459108 - Hedging risk in journey planning (2016-10-04),

10. 9397904 - System for identifying, monitoring and ranking incidents from social media (2016-07-19),

11. 9304006 - Journey computation with re-planning based on events in a transportation network (2016-04-05),

12. 8676840 - Network graph evolution rule generation (2014-03-18),

13. 8204904 - Network graph evolution rule generation (2012-06-19),

Title: Michele Berlingerio: Innovator in Data Visualization and Pattern Mining

Introduction

Michele Berlingerio is a prominent inventor based in Noicattaro, Italy. He has made significant contributions to the fields of data visualization and sequential pattern mining. With a total of 13 patents to his name, Berlingerio's work has had a substantial impact on how data is interpreted and utilized.

Latest Patents

One of Berlingerio's latest patents is focused on data visualizations selection. This invention proposes a method to automatically suggest a visualization that provides the best insight for a given dataset. It maximizes a utility function computed on properties of the input data and previously used visualizations by the same user. The method includes receiving an input dataset and a set of previous visualizations, accessing a utility function, and computing potential visualizations. A recommendation is then selected by maximizing the utility function's value, resulting in a new visualization not previously used.

Another notable patent is related to sequential pattern mining. This invention includes receiving a data mining parameter and computing a plurality of frequent sequences without temporal annotations. It also involves extracting subsequences with temporal annotations for each frequent sequence and clustering temporal intervals using a time window based on the extracted subsequence. The output is produced based on the cluster of temporal intervals.

Career Highlights

Throughout his career, Michele Berlingerio has worked with renowned companies such as IBM and Yahoo! Inc. His experience in these organizations has allowed him to refine his skills and contribute to innovative projects in data analysis and visualization.

Collaborations

Berlingerio has collaborated with notable professionals in his field, including Adi Ionel Botea and Francesco Calabrese. These collaborations have further enriched his work and expanded the scope of his inventions.

Conclusion

Michele Berlingerio is a distinguished inventor whose work in data visualization and pattern mining continues to influence the industry. His innovative patents and collaborations highlight his commitment to advancing technology in meaningful ways.

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