Data Mining Archives - Maxtech Solutions

Artificial Neural Network (ANN) An Introduction

An Artificial Neural Network (ANN) is an information processing model. That is inspired by the biological nervous systems like a human brain which process information. It is composed of a number of interconnected processing elements. These processing elements are known as neurons. In order to solve specific problems, for an…

munish

March 30, 2021

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Computing Technology, Data Mining, Image Processing

Fuzzy C Mean Clustering Algorithm With Steps

This algorithm works by assigning membership to each data point corresponding to each cluster center on the basis of the distance between the cluster center and the data point. The more the data is near to the cluster center more is its membership towards the particular cluster center. Clearly, the…

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January 29, 2021

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Data Mining

K-Means Clustering Algorithm with Steps

k-means is one of the simplest unsupervised learning algorithms that solve the well-known clustering problem. The procedure follows a simple and easy way to classify a given data set through a certain number of clusters. The main idea is to define k centers, one for each cluster. These centers should…

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January 29, 2021

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Data Mining

Decision Tree C4.5 or J48 – Algorithm, Applications, Advantages & Disadvantage

In data mining C4.5 algorithm is considered a supervised learning algorithm. That is a Decision Tree and also known as J48 decision tree. The C4.5 or J48 decision tree algorithm is employed to generate decision tree or IF-THEN-ELSE rules. The C4. 5 algorithm was proposed in 1993, by Ross Quinlan,…

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January 29, 2021

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Data Mining

What is Clustering ?– Applications, Advantages and Limitations

Clustering is the undertaking of separating the populace or information that focuses on various gatherings with the end goal that information focuses on similar gatherings are more like other information focuses on a similar gathering than those in different gatherings. In basic words, the point is to isolate bunches with…

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January 29, 2021

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Data Mining

What is Decision Tree? – Applications, Advantages and Disadvantages

A decision tree is a type of Supervised Learning. In which we continuously split data according to some fixed parameters. It has two entities which are decision nodes and leaves. Where leaves are the final outcome of the decision of the tree and where data splits those are called decision…

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January 29, 2021

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Data Mining

CART Algorithm – Applications, Advantages & Disadvantages

CART stands for Classification And Regression Trees. It is a widely used technology in machine learning. It is a predictive model that explains that the value of an outcome can be predicted which would be based on other values. It gives the output as a decision tree wherein a predictor…

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January 29, 2021

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Data Mining

ID3 Algorithm for Decision Tree – Applications, Advantages & Disadvantages

ID3 is a decision tree algorithm. ID3 is an abbreviation for Iterative Dichotomiser 3. It was invented by J. Ross Quinlan in 1975. It uses a fixed set of examples to build a decision tree. The resulting tree is used to classify further examples or samples. The class name contains…

munish

January 29, 2021

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Data Mining

AES Algorithm – Working, Features, Advantages & Disadvantages

AES algorithm is a symmetrical block cipher algorithm that takes in input the plain text in blocks of 128 bits and converts them using keys of 128, 192, and 256 bits in the Ciphertext. It is used by the US government to protect classified information. AES is implemented in software…

Data Mining

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Artificial Neural Network (ANN) An Introduction

Fuzzy C Mean Clustering Algorithm With Steps

K-Means Clustering Algorithm with Steps

Decision Tree C4.5 or J48 – Algorithm, Applications, Advantages & Disadvantage

What is Clustering ?– Applications, Advantages and Limitations

What is Decision Tree? – Applications, Advantages and Disadvantages

CART Algorithm – Applications, Advantages & Disadvantages

ID3 Algorithm for Decision Tree – Applications, Advantages & Disadvantages

AES Algorithm – Working, Features, Advantages & Disadvantages