In recent years, the field of data analytics has witnessed a paradigm shift with the emergence of generative artificial intelligence (AI) techniques. Generative AI, a subset of machine learning, focuses on creating new data instances that resemble existing data distributions. This revolutionary approach enables data scientists to generate synthetic data, augment training datasets, and uncover … [Read more...]
AI Powered Data Analytics: Challenges and Limitations
The allure of AI and generative programming lies in its potential to mimic human intelligence and automate complex tasks. With advancements in machine learning algorithms and big data analytics, AI systems can process vast amounts of data, recognize patterns, and make predictions with unprecedented accuracy. Businesses envision AI-powered solutions streamlining operations, optimizing workflows, … [Read more...]
What is Large Language Model (LLM)
A Large Language Model (LLM) is a language model that is characterized by its ability to generate language for general purposes. LLMs acquire these skills by learning statistical relationships from text documents during a computationally intensive training process. Large language models gain these skills by using huge amounts of data to learn huge amounts of parameters during training. In doing … [Read more...]
What is EVA Principle (Data Processing)
The EVA principle describes a basic principle of data processing. The abbreviation is derived from the first letters of the related terms which describe the order in which data is processed. Both computers and computer programs can be regarded as functions that receive parameters (E), make a calculation (V) with these parameters, and output the result of the calculation (A). The principle is to … [Read more...]
What is Data Dictionary
A data dictionary is a catalog of metadata that contains the definitions and presentation rules for all application data of an organization and the relationships between the various data objects so that the data set is structured without redundancy and uniformly. It's a use case of a specific data model. In a relational database, a data dictionary is a set of tables and views that are read-only … [Read more...]
Data Avoidance and Data Minimization
Data avoidance and data minimization is a concept in the field of data protection. The basic idea is that only as much personal data is collected during data processing as is absolutely necessary for the respective application. The concept of data avoidance and data minimization is closely related to the traditional data protection principle that only those personal data may be processed that are … [Read more...]
What is Association Analysis
Typical tasks of data mining are Outlier Detection, Cluster Analysis, Classification, Association analysis, Regression analysis. These tasks can be roughly divided into observation problems (outlier detection, cluster analysis) and forecasting problems (classification, regression analysis). Association analysis refers to the search for strong rules. These consequent association rules describe … [Read more...]
Customer Profile and Data Mining
A customer profile is the data image of the purchasing behavior of an individual consumer. The transactions carried out with the customer are continuously stored in a data processing system and used for customer relationship management purposes. The customer profile enables providers, for example, to address advertising individually to the consumer who, based on his or her purchasing behavior … [Read more...]
What is Proof of Work (PoW)
In computer science, a proof of work (PoW) is a method that is intended to prevent the excessive use of a service, such as denial-of-service attacks or the mass sending of e-mails (spam). Proof-of-work usually represents the solution of a moderately difficult task by the user or his/her computer. The result, on the other hand, can be checked by the service provider without much effort. The idea … [Read more...]
What is a Recommendation System?
A recommendation system is a software system that aims to make a prediction that quantifies how strong a user's interest in an object is, in order to recommend to the user exactly those objects from the set of all existing objects that they are likely to be most interested in. Typical objects of a recommendation service are, for example, products of a webshop, pieces of music or artists or films. … [Read more...]
Legal and Moral Aspects of Data Mining
Data mining is the application of statistical techniques to large data sets. Due to their size, they are processed using computer-supported methods. The terminology is somewhat misleading because it is about extracting knowledge from already existing data and not about generating data itself. Previously, we have pointed out the Different Tasks of Data Mining and Data Mining Issues. This article … [Read more...]