Dataconomy

MARCH 4, 2025

Data mining is a fascinating field that blends statistical techniques, machine learning, and database systems to reveal insights hidden within vast amounts of data. Businesses across various sectors are leveraging data mining to gain a competitive edge, improve decision-making, and optimize operations.

Data Mining 91

Data Mining Data Mining Data Mining Decision Trees 91

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. So whenever you hear that Process Mining can prepare RPA definitions you can expect that Task Mining is the real deal.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Dataconomy

APRIL 27, 2023

However, with the evolution of the internet, the definition of transaction has broadened to include all types of digital interactions and engagements between a business and its customers. The core definition of transactions in the context of OLTP systems remains primarily focused on economic or financial activities.

Database 159

Database Data Scientist Data Mining Data Mining 159

Becoming Human

JANUARY 23, 2023

- a beginner question Let’s start with the basic thing if I talk about the formal definition of Data Science so it’s like “Data science encompasses preparing data for analysis, including cleansing, aggregating, and manipulating the data to perform advanced data analysis” , is the definition enough explanation of data science?

Data Science 105

Data Science Big Data Big Data Deep Learning 105

Alation

AUGUST 26, 2021

And types of metadata — or data about data — abound. Some high-level metadata categories in a data catalog include: Behavioral : Records who is using data, and how they are using it. Technical: Shows schema or table definitions. Business: Policies on how to handle different kinds of data appropriately.

Data Governance 64

Data Governance ML ML Augmented Analytics 64

Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52