BIM 8th Semester Data mining and Data warehousing Notes

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BIM 8th Semester Data mining and Data warehousing
BIM 8th Semester Data mining and Data warehousing

We have collected the TU BIM 8th Semester Data mining and Data warehousing Notes PDF.

University: Tribhuvan University.

Full Marks: 40

Pass Marks: 20

Time: 2 hrs

Subject Code: IT 308

BIM 8th Semester Data mining and Data warehousing

Following are the chapter-wise notes

Chapter 1: Introduction

Data mining is discovering meaningful patterns and trends often previously unknown by using some mathematical algorithm on massive amounts of stored data.

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Chapter 2: Data Processing

Data is the collection of a data object and its attributes.

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Chapter 3: Data Processing

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Chapter 4: Association Analysis

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Chapter 5: Cluster Analysis

Cluster Analysis is a statistical method for processing data.

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Chapter 6: Information Privacy and data mining

Data privacy is also known as information privacy.

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Chapter 7: Advanced Application

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Chapter 8: Search Engine

The search engine is the software program where people find the information they are looking for. For example, Google, Bing, etc.

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Chapter 9: Data Warehousing

A data warehouse is a database designed to enable business intelligence activities, it exists to help users understand and enhance their organization’s performance.

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Chapter 10: Capacity Planning

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Hence, these are the chapter-wise notes pdf of BIM 8th Semester Data mining Notes.

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