Skip to content

Tag Archives: data mining

Frequent Itemsets : One of the major families of techniques for distinguishing data is the discovery of Frequent Itemsets. The main problem is seldom viewed… Read More
In this article, we are going to discuss attributes and it’s various types in data analytics. We will also cover attributes types with the help… Read More
There are certain key roles that are required for the complete and fulfilled functioning of the data science team to execute projects on analytics successfully.… Read More
Prerequisite: Introduction of Holdout Method Repeated Holdout Method is an iteration of the holdout method i.e it is the repeated execution of the holdout method.… Read More
Clustering:  The process of making a group of abstract objects into classes of similar objects is known as clustering.  Points to Remember:  One group is… Read More
Prerequisite:  K means Clustering – Introduction K-Means Algorithm has a few limitations which are as follows:  It only identifies spherical shaped clusters i.e it cannot… Read More
Data Generalization is the process of summarizing data by replacing relatively low level values with higher level concepts. It is a form of descriptive data… Read More
In this article, we are going to discuss different uses of data analytics. And will discuss the application where we will see how data is… Read More
Jarvis Patrick Clustering Algorithm is a graph-based clustering technique, that replaces the vicinity between two points with the SNN similarity, which is calculated as described… Read More
Prerequisite – Measures of Distance in Data Mining In Data Mining, similarity measure refers to distance with dimensions representing features of the data object, in… Read More
Bayesian Belief Network is a graphical representation of different probabilistic relationships among random variables in a particular set. It is a classifier with no dependency… Read More
Holdout Method is the simplest sort of method to evaluate a classifier. In this method, the data set (a collection of data items or examples)… Read More
Designing a Data Warehouse is an essential part of business development. For designing, there are two most common architectures named Kimball and Inmon but the… Read More
If we place ourselves in a frame that differs slightly from what we usually see. For instance: when we do batch learning, i.e. learning on… Read More
Wikipedia defines optimization as a problem where you maximize or minimize a real function by systematically choosing input values from an allowed set and computing… Read More

Start Your Coding Journey Now!