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Last updated: May 20, 2022

Data Mining

Data mining is the practice of analyzing large databases to generate new information from them. It is also uncovering the patterns or hidden data from the given databases and analyzing them. It combines statistical and artificial intelligence to analyze these large data sets which we obtain using various techniques and then discover useful information from these. Using data warehousing and the growth of big data, and other such techniques of data mining helped in transforming the raw data into useful knowledge. It involves the discussion of various data mining techniques and architectures.

What Is Data Mining? MEDIUM

This article will take you through Data Mining, its importance, and the different tasks, advantages, disadvantages, limitations, and applications of data mining.

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Data Mining vs AI EASY

In this article, we will first discuss data mining and Artificial Intelligence with their types, pros, and cons. Then the difference between data mining and AI.

Author lakshayhere

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Data Mining vs Text Mining

This article will cover all the related points covering data mining vs text mining. We will discuss data mining and text mining and then move to the differences.

Author Nidhi Kumari

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Data Mining vs Machine Learning EASY

In this article, we will cover the differences between data mining and machine learning.

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Data Mining vs Big Data

In this article, we will cover the difference between data mining and big data. We will start our discussion by understanding data mining and big data.

Author Nidhi Kumari

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Scope of Data Mining EASY

This blog introduces data mining, its scope, and its benefits.

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Outlier Analysis in Data Mining EASY

This article will take you through the concepts, techniques, practical applications, and a code example of outlier analysis in data mining.

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FP Growth in Data Mining MEDIUM

In this blog, we will study FP Growth in Data Mining and the working of FP algorithms in detail, along with their advantages and disadvantages with Frequently asked questions.

Author Akanksha Burnwal

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The Data Mining Process EASY

This article on Data Mining Process Covers Data Mining Models, Steps and Challenges Involved in the Data Extraction Process.

Author Rushali Patnaik

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Data Mining Architecture EASY

This blog explains the Data Mining Architecture and Its Components.

Author Akash Nagpal

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Discretization in Data Mining EASY

In this blog, we will learn about Discretization in Data Mining. We will understand its core concepts, its usage, advantages, and much more for better understanding.

Author Pallavi singh

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Data Mining vs Web Mining EASY

In this blog, we will be discussing the features and applications of Data Mining and Web Mining followed by the differences between them.

Author Akanksha Burnwal

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Data Mining vs Data Snooping

In this article, we will first discuss data mining and data snooping with their types, pros, and cons. Then the difference between data mining and data snooping.

Author lakshayhere

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Data Mining vs OLAP EASY

In this blog, we will be discussing the features and applications of Data Mining and Olap followed by the differences between them.

Author Akanksha Burnwal

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Data Mining vs Deep Learning

In this article, we will first discuss data mining and deep learning with their types, pros, and cons. Then the difference between data mining and deep learning.

Author lakshayhere

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Data Mining vs Data Profiling

In this blog, we will be discussing the features and applications of Data Mining and Data Profiling followed by the differences between them.

Author Akanksha Burnwal

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Types Of Data Mining Architecture EASY

In this article, we will learn about Data Mining Architecture, its types, advantages, and disadvantages.

Author Akash Nagpal

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Bayesian Classification in Data Mining EASY

This article explains the Bayesian Classification in data mining. It involves predicting a class label for a given input by utilizing probability theory.

Author Sinki Kumari

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KDD in Data Mining EASY

KDD is a method of extracting relevant, unknown, and useful data from massive databases(also known as big data).

Author Nidhi Kumari

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Outlier Detection in Data Mining EASY

In this blog, we will learn about the different methods of Outlier Detection in Data Mining, along with their application and challenges.

Author Sanjana kumari

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Detecting Phishing in Data Mining MEDIUM

In this article, we will discuss what Phishing is, the method of detecting phishing in Data Mining, along with the Random Forest Algorithm.

Author Abhiyodaya Pandey

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Data Mining Vs Data Analytics EASY

This blog explains the detailed difference between Data Mining and Data Analytics.

Author kittusinghkumar

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Fake News Detection Project in Data Mining MEDIUM

This article will discuss the problem of fake news circulation in social media and its possible solutions using fake news detection project in data mining.

Author Aayush Sharma

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What is Regression in Data Mining? EASY

Regression in data mining is a statistical technique used to predict a numerical value based on one or more independent variables. Regression analysis predicts the value of the dependent variable based on the values of the independent variables.

Author Aayush Sharma

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Data Mining Vs Data Warehousing EASY

This blog contains an introduction to data mining and data warehouse and their differences.

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Applications of Data Mining

This article on Applications of Data Minings Covers Data Mining and its applications in various fields.

Author Rushali Patnaik

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Credit Card Fraud Detection Project in Data Mining MEDIUM

This article covers the concept of credit card fraud detection project in data mining with its implementation.

Author 3053_Jatin

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Clustering in Data Mining MEDIUM

Clustering is a technique in data mining that groups similar data points together based on their features and characteristics. This article will teach you all you need to know about clustering in data mining

Author Vidhi Sareen

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Data Mining Techniques

There are various methods and technologies, because of which it becomes a priority to know how to process data and make predictions and conclusions on the basis of it. But again what methods can be used for all this processing? What do you think? Let's see what are the data mining techniques? Starting with the introduction to it, where we will introduce various techniques. Then we will take up each of them individually and explain each of them with proper explanation to you. It includes classification, clustering, regression, association, and outlier detection.

Types of Data Mining Techniques

In this article, we have explained basic data mining concepts and different types of data mining techniques.

Author Bijay Kumar

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Tasks and Functionalities of Data Mining MEDIUM

Functionalities in data mining involve discovering patterns, associations, and insights from large datasets. Explore and data mining functionalities and task primitives with advantages with FAQs.

Author Harsh Singh

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Classification in Data Mining

In this post, we will discuss the basic concepts of the classification analysis technique of data mining.

Author Bijay Kumar

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What is Spatial Data Mining?

In this article, we will discuss Spatial Data Mining, its applications, types of Spatial Data and Spatial Vs Temporal Data Mining.

Author Kartik Kukreja

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Market Basket Analysis in Data Mining MEDIUM

In this blog, we will learn about Market Basket Analysis in Data Mining, its concepts and features.

Author Rinki Deka

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Partitioning Methods in Data Mining MEDIUM

In this blog, we will learn about Partitioning Methods in Data Mining. We will understand its core concepts, its usage, types, and much more for better understanding.

Author Pallavi singh

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Association Rule Learning EASY

This article explains the rule of Association Rule Learning and how this technique is used in data mining and includes machine learning.

Author Adya_Tiwari

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Anomaly detection EASY

This article explains Anomaly detection or outlier Detection and how this can be used in data mining using machine learning.

Author Adya_Tiwari

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Text Mining in Data Mining MEDIUM

This article introduces text mining, explains its key concepts, and provides practical examples to help you understand the fundamentals.

Author Riya Singh

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Regression Analysis EASY

This article will take you through the introduction, importance, and the types of Regression Analysis.

Author Prakriti

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Rule-Based Classification in Data Mining MEDIUM

This article will cover the topic of rule-based classification in data mining.

Author Shubham Agarwal

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Data Mining Tools

After knowing about the techniques of data mining, the next stop is the machine or tool where we can execute the data mining techniques. Data mining tools are like R-studio or tableau where you can frame and execute the data mining techniques, thus creating the data models and also text these models. there are many open source and sophisticated tools. In this, we will be looking at some of them. But before that, we need an introduction to these data mining tools and many more than that. After that introduction, we will take up some of them and discuss them. Here we will be discussing - Rapid Miner, Python, orange, and kaggle.

Tools in Data Mining

In this article, we will learn about various data mining tools. We will also understand the meaning and implementation of data mining.

Author pankhurigoel_28

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Rapid Miner EASY

This article will give you a brief overview of the data mining tool– Rapid Miner.

Author Soumya Agrawal

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Python in Data Mining EASY

In this article, we will learn how Python is used in various data mining applications.

Author Bijay Kumar

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Orange in Data Mining EASY

This blog mainly focuses on the Orange data mining and data visualisation tool, usage of the Orange, and different features available in Orange.

Author Aniket Majhi

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Oracle Data Mining

In this article, we will learn about Oracle Data Mining. We will also learn about Oracle Data Miner and its features. We will see the various functions and advantages of Oracle Data Mining.

Author pankhurigoel_28

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This blog mainly focuses on the concept of Kaggle. We will discuss what the Kaggle is, the importance of the Kaggle in data science, Kaggle competitions, Kaggle datasets, Kaggle notebooks and Kaggle public API.

Author Aniket Majhi

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Introduction to Weka

This article is about Weka and its features, installation process, Weka for data mining and machine learning, and real-life applications.

Author Harshita Rajput

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How to start with Data Mining? Now that we know what are the various tools, we will be taking the next step which is how to even start with data mining? What are the things you need to keep in your mind for it? We will be briefly covering it. Next, give a tutorial on Data mining. This will include the implementation process of Data mining. We will be briefly discussing the steps and how you can use them.