Quick view interface was improved. The memory leak error was corrected in Python. Version 3.10 is now supported. Errors in “Coarse classes”, “Logical regression” and other handlers were...

Major Update of Loginom Analytical Platform Quick view of the calculation results functionality was implemented for selection of the activated node. It became possible to cancel the request...

In this update, the memory consumption on server when using JavaScript node in the loop was corrected, the repeated workflow start when using Loginom Integrator or Batch Processing became...

In this update, file storage was upgraded, performance improvements related to operation of processor and memory in the multithreading mode were made, and some fixes were performed

What is customer loyalty? Is it repeated purchases? Or an emotional connection that is manifested, for example, in the fact that the client recommends your company to their friends?

How to migrate to a modern analytical platform and replace the database without stopping the work of the credit pipeline. A practical case from the leader of the microfinance market in Russia,...

In practice, missing data are very common in real data processing. The reasons may comprise data entry errors, information hiding, or fraud. In this article, we will discuss in which cases...

In this update, special attention was paid to the platform usability, performance improvements related to complex workflows operation were made, and some fixes were performed.

Several errors detected when testing the features added in version 6.4.0 were corrected in this version. Operation of SOAP services and connections to databases was corrected.

Major Update of Loginom Analytical Platform Functionality of users and packages monitoring was implemented. Python support was added. The existing algorithms were optimized. New handler and...

When you create a data warehouse is not enough attention is paid to cleaning the incoming information into it. Apparently, it is believed that the larger the storage, the better. This is a...

Every entrepreneur in the process of business development is faced with the question: how to make his client more loyal and not let him go to a competitor.

Genetic algorithms aim to solve optimization and modeling tasks by iterating, variation and combining target parameters with the help of mechanisms similar to biological evolution.

Splitting of categorical and transactional data sets into groups with similar attributes into large databases is the most important task of data mining. In most cases, traditional clustering...

This article is an attempt to systematize and give a holistic view of the latest achievements in the development of effective approaches to data clustering. The purpose of this article was not...

Apriori is one of the most popular algorithms for generating association rules. Employing the anti-monotonicity property, it is able to process large volumes of data within a reasonable amount of...

Several issues detected while operation of web-services and databases were fixed in this version, the problem connected with the usage of the JSDoc comments in the JavaScript wizard was solved,...

Several issues detected while the Reference Node operation were fixed in this version, the problem with the sudden Calculator error while operation in the parallel Loop was solved, the problem of...