Roboyo - Fuzzy Logic

作成者: Internal Labs

<100

In RPA it improves text similarity matching for deduplication, email classification and data standardization. Customizable thresholds and enhanced efficiency make it ideal for high-volume tasks.

作成者: OPTAGE

1.2k

This activities package provides three functions to complement OCR and help to improve its accuracy. - Sort by Edit Distance (Levenshtein Distance), Majority Decision and Review Dialog -

作成者: ACP Holding Digital AG

<100

A few activities to help with string manipulation: get middle Substring with Strings, Fuzzy Search in Array, check if Strings are similar.

作成者: Roboyo

105

With this activity, it is possible to use fuzzy search logic to compare or search in different strings and compare images without the need to implement any code.

作成者: Office Samurai

<100

This package provides a variety of string comparison methods based on multiple algorithms.

作成者: Internal Labs

497

This group of custom activities (String Matching Algorithms) serve the purpose of reducing development time for the user intending to implement one or more string matching logic in their project.

作成者: Novigo Solutions

815

This is an UiPath Custom Activitiy built using String Similarity .NET, a library implementing different string similarity and distance measures

作成者: Patrick Flöß

<100

Calculate the similarity of strings, e.g. Aa / Ab = 50%.

作成者: Amar Srivastava

2.9k

Calculates the more robust Damerau-Levenshtein distance between two strings. Includes an activity for comparing a string against an array of strings to select the closest match.

作成者: BotVelocity

<100

A collection of 6 custom activities for UiPath that implement various string matching and comparison algorithms.

作成者: Internal Labs

<100

Levenshtein Distance calculates the minimum edits (insertions, deletions, substitutions) to transform one string into another. Used in spell check, fuzzy search; runs in 𝑂 ( 𝑛 × 𝑚 ) O(n×m) time.

作成者: Internal Labs

<100

UiPath workflow for Jaro String Matching calculates similarity between strings, aiding in deduplication, record linkage, fuzzy matching, and automation. Scalable, reusable, and ideal for data accuracy

作成者: Internal Labs

<100

In RPA it improves text similarity matching for deduplication, email classification and data standardization. Customizable thresholds and enhanced efficiency make it ideal for high-volume tasks.

作成者: OPTAGE

1.2k

This activities package provides three functions to complement OCR and help to improve its accuracy. - Sort by Edit Distance (Levenshtein Distance), Majority Decision and Review Dialog -

作成者: ACP Holding Digital AG

<100

A few activities to help with string manipulation: get middle Substring with Strings, Fuzzy Search in Array, check if Strings are similar.