From 906f4b2f62ff207a33c506937a749168fe7c5cbd Mon Sep 17 00:00:00 2001
From: wseemaqa <116936385+wseemaqa@users.noreply.github.com>
Date: Sat, 29 Oct 2022 11:37:02 +0530
Subject: [PATCH] Adding data mining

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 7fe81ff..3409d64 100644
--- a/README.md
+++ b/README.md
@@ -126,6 +126,7 @@ All the translations for this repo will be listed below:
 - **database**: a central location in which data is stored and managed.
 - **Data-driven Programming**: a programming paradigm in which the program statements describe the data to be matched and the processing required rather than defining a sequence of steps to be taken.
 - **data lake**: A data lake is a system or storage repository that holds a vast amount of raw data in its native format usually object blobs or files until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data. 
+- **data mining**: Data mining is the practice of examining large amounts of data in user databases and websites to find consumer patterns, behaviors, and relationships that can be useful in marketing goods and services online.
 - **data structure**: a data structure is a data organization, management, and storage format that enables efficient access and modification.
 - **debugging**: the process of finding and resolving bugs (defects or problems that prevent correct operation) within computer programs, software, or systems.
 - **data warehouse**: A data warehouse is a large collection of business data used to help an organization make decisions. Data Warehouses are central repositories of integrated data from one or more disparate sources. It is a system used for reporting and data analysis, and is considered a core component of business intelligence. The concept of the data warehouse has existed since the 1980s, when it was developed to help transition data from merely powering operations to fueling decision support systems that reveal business intelligence.