17541704. FINGERPRINT-BASED DATA CLASSIFICICATION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)
Contents
FINGERPRINT-BASED DATA CLASSIFICICATION
Organization Name
INTERNATIONAL BUSINESS MACHINES CORPORATION
Inventor(s)
FINGERPRINT-BASED DATA CLASSIFICICATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 17541704 titled 'FINGERPRINT-BASED DATA CLASSIFICICATION
Simplified Explanation
The patent application describes a system and method for automatically classifying data using fingerprints. Here is a simplified explanation of the abstract:
- The system generates a fingerprint of a data column in a dataset to be classified.
- The fingerprint consists of dimensions, where each dimension represents a characteristic of the data in the column.
- The system compares the generated fingerprint to target fingerprints associated with different classes.
- If a match is found, the system assigns one or more classes to the data column, resulting in classified data.
Potential applications of this technology:
- Data classification in various industries such as finance, healthcare, and marketing.
- Automated sorting and categorization of large datasets.
- Fraud detection and anomaly identification in financial transactions.
- Customer segmentation and targeted marketing campaigns.
Problems solved by this technology:
- Manual data classification can be time-consuming and prone to errors.
- Traditional classification methods may not be efficient for large datasets.
- Identifying patterns and similarities in data columns can be challenging without automated techniques.
Benefits of this technology:
- Saves time and resources by automating the data classification process.
- Improves accuracy and consistency in classifying data.
- Enables faster decision-making based on classified data.
- Provides insights and patterns that may not be easily identifiable through manual analysis.
Original Abstract Submitted
Systems and methods are provided for automated classification of data using fingerprints. In embodiments, a method includes: generating, by a computing device based on predetermined rules, a fingerprint of a data column in a data set to be classified, the fingerprint comprising dimensions, wherein each of the dimension is assigned an attribute representing a characteristic of data in the data column; determining, by the computing device, that the fingerprint matches one or more target fingerprints by comparing the fingerprint to the target fingerprints, wherein each target fingerprint is associated with a class and includes dimensions, and each dimension is assigned an attribute representing a characteristic of data in the class; and assigning, by the computing device, one or more classes to the data column based on the one or more target fingerprints, thereby generating classified data.