Herrenberg, Germany

Christoph Lingenfelder

This inventor holds 23 USPTO granted patents, primarily in Data Mining Techniques. Top assignee: International Business Machines Corporation. Active years: 1999-2017.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Christoph Lingenfelder. Retrieved from https://idiyas.com/inventor/christoph-lingenfelder

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


% Patents Active = 26.1

Average Co-Inventor Count = 3.3

ph-index = 7

Forward Citations = 564(Granted Patents)


Location History:

  • Walldorf, DE (1999)
  • Poughkeepsie, NY (US) (2011 - 2014)
  • Yorktown Heights, NY (US) (2013 - 2014)
  • Herrenberg, DE (2001 - 2017)

Company Filing History:


Years Active: 1999-2017

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Areas of Expertise:
Data Warehouse
Feature Extraction
Predictive Modeling
Data Mining
Pattern Recognition
Event-Driven Prediction
Text Analysis
Multi-Dimensional Data
Data Clustering
Numerical Representations
Access Control
High Dimensional Data
23 patents (USPTO):Explore Patents

Title: Christoph Lingenfelder: Innovator in Data Processing and Feature Extraction

Introduction

Christoph Lingenfelder is a prominent inventor based in Herrenberg, Germany, known for his significant contributions to the fields of data processing and statistical modeling. With a remarkable portfolio of 23 patents, Lingenfelder has focused on innovations that enhance data management and prediction methodologies.

Latest Patents

Among Lingenfelder's latest innovations is a patent for "Processing Data in a Data Warehouse." This invention involves a processing device that receives user input to create simple filter objects, facilitating the definition of ad hoc subsets for dimensions of a dimension table within a data warehouse. This advanced filtering system enhances the user’s ability to interact with data in a more intuitive manner.

Another noteworthy patent is for "Iterative Active Feature Extraction," which provides techniques for feature extraction using domain knowledge. The method includes receiving queries to predict future values of a given value series based on a statistical model. It ensures that the predictions are mutually diverse and seeks user input for selection and annotations, which can further refine the accuracy of the statistical model through an extended set of covariates.

Career Highlights

Christoph Lingenfelder's career has been closely associated with the International Business Machines Corporation (IBM), where he continues to drive innovation. His work not only reflects technical excellence but also a commitment to improving data processing systems through inventive solutions.

Collaborations

Throughout his career, Lingenfelder has collaborated with notable colleagues such as Pascal Pompey and Michael Wurst. Together, they have contributed to advancements in data processing technologies, leveraging their combined expertise to drive impactful innovations in their field.

Conclusion

With a strong foundation in data management and predictive analytics, Christoph Lingenfelder continues to be a key player in the innovation landscape. His patents not only highlight his technical acumen but also demonstrate the potential for significant advancements in how data is processed and utilized across various sectors.

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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