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# Database File Indexing – B+ Tree (Introduction)

In order, to implement dynamic multilevel indexing, B-tree and B+ tree are generally employed. The drawback of B-tree used for indexing, however is that it stores the...

# B-Tree Set 2 (Insert)

In the previous post, we introduced B-Tree. We also discussed search() and traverse() functions. In this post, insert() operation is discussed. A new key is always...

# B-Tree Set 3 (Delete)

It is recommended to refer following posts as prerequisite of this post. B-Tree | Set 1 (Introduction) B-Tree | Set 2 (Insert) B-Tree is a type of a multi-way search ...

# Relationship between number of nodes and height of binary tree

Prerequisite &#x2013; Binary Tree Data Structure In this article, we will discuss various cases for relationship between number of nodes and height of binary tree. Be...

# Decision Tree

Decision Tree : Decision tree is the most powerful and popular tool for classification and prediction. A Decision tree is a flowchart like tree structure, where each...

# Decision Tree Introduction with example

Decision tree algorithm falls under the category of the supervised learning. They can be used to solve both regression and classification problems. Decision tree use...

# Decision tree implementation using Python

Prerequisites: Decision Tree, DecisionTreeClassifier, sklearn, numpy, pandas Decision Tree is one of the most powerful and popular algorithm. Decision-tree algorithm ...

# Graph Minimum Spanning Tree

123 Graph Minimum Spanning Tree Please wait while the activity loads. If this activity does...

# Levelwise Alternating OR and XOR operations in Segment Tree

A Levelwise OR/XOR alternating segment tree is a segment tree, such that at every level the operations OR and XOR alternate. In other words at Level 1 the left and ri...

# Count ways to build street under given constraints

There is a street of length n and as we know it has two sides. Therefore a total of 2 * n spots are available. In each of these spots either a house or an office can ...