---
title: "Data Mining"
source: https://www.bctengineer.com/subjects/semester_7/data_mining
site: BCT Engineering
---
# Data Mining

_Elective I · 7th semester_

> Have notes, solutions or slides for this subject that aren't here yet? Share a Google Drive link through [Suggest an improvement](/feedback) and we'll add it.

---

## Important Links
- [List of Important Questions](https://drive.google.com/file/d/1m913AjrFp-0245Y6xmedaFDVlpXiIKgg/view?usp=sharing) _(Important)_
- [Data Mining Old Questions](https://drive.google.com/file/d/1Z1h8Bbqo5Q1O5X96swXAD8uiFbWTsDkO/view?usp=sharing)
- [Data Mining Note](https://drive.google.com/file/d/147W6-rzsY_v2ri_D79VB8b2H1ZKP28W2/view?usp=sharing)

---

## Chapter Notes & Worked Examples
- [Chapter 3 – Classification](https://drive.google.com/file/d/1b94etdLyzR2oLOdONSY57hZmoSg8R3t4/view?usp=sharing)
- [Chapter 3 – GINI Index Worked Example](https://drive.google.com/file/d/1zkBD-lg0HqUzE0ii1HiXdzwzKkpQOZcD/view?usp=sharing)
- [Chapter 3 – Hunt's Algorithm](https://drive.google.com/file/d/1PmFqISd_LiRHoj4iVWM97pkvh1q0Hzk6/view?usp=sharing)
- [Chapter 4 – Association Analysis](https://drive.google.com/file/d/1qUpNKBh20GtVxiXDisV-ji41i_-7j0XZ/view?usp=sharing)
- [Chapter 4 – Association Analysis: FP-Tree Example](https://drive.google.com/file/d/1kmBLIiC3wHwHIK2lQHRvZMEryUQ_lHHS/view?usp=sharing)
- [Chapter 4 – Association Analysis: Apriori Example](https://drive.google.com/file/d/1DiQPxpxhD0HeUFm-Dsu6vSVx1VLz3G-s/view?usp=sharing)
- [Chapter 5 – Cluster Analysis](https://drive.google.com/file/d/1AgQ23XNYc3dmeEVNwW2-w-wUY6wDULJj/view?usp=sharing)

---

## YouTube Playlist
- [Data Mining and Warehouse – 5 Minutes Engineering](https://youtube.com/playlist?list=PLYwpaL_SFmcChP0xiW3KK9elNuhfCLVVi)

---

## Notes by Er. Jeewan Rai
- [Chapter 1 – Introduction to Data Mining & Data Warehousing](https://drive.google.com/file/d/1jTIcrc4EENKHcc0ZOSoeNys39gTvZZ9o/view?usp=sharing)
- [Chapter 4 – Association Analysis](https://drive.google.com/file/d/1xE3-h5Oli75Q655NIpLyETZ1qqP4B_pl/view?usp=sharing)
- [Chapter 5 – Cluster Analysis: K-Means Clustering Example](https://drive.google.com/file/d/1EhnWaQUfOj4Qz2jxtbfDzmwZfrt1TAh-/view?usp=sharing)
- [Chapter 6 – Anomaly / Fraud Detection](https://drive.google.com/file/d/1OauLMGoedKXK4Avxz4PZyiv8wXvC0ppm/view?usp=sharing)
- [Chapter 7 – Advanced Applications](https://drive.google.com/file/d/1AiSp_DR04dbTb_7MyJt6TlHK3EVm0Wrv/view?usp=sharing)

---

## Slides
- [Chapter 1 – Introduction](https://drive.google.com/file/d/1Fs6yG64vOqkIPbfoRA9VHvrbWfge_kvG/view?usp=sharing)
- [Chapter 2 – Data Pre-processing](https://drive.google.com/file/d/18AL-3FE4NQ_BcbQ392ibDurPZoHMIETs/view?usp=sharing)
- [Chapters 1 & 2 – Introduction and Data Pre-processing](https://drive.google.com/file/d/1_PK6iaSoGgBLTC4LVp43BdXWpDjWrBAF/view?usp=sharing)
- [Chapter 3 – Classification](https://drive.google.com/file/d/150f11OdfQx1mYBNGmINBVjFvRRqo8Sjn/view?usp=sharing)
- [Chapter 4 – Association Analysis](https://drive.google.com/file/d/1larjAX7X2cm_OuD6lBqd9QiL1A0npPWy/view?usp=sharing)
- [Chapter 5 – Cluster Analysis](https://drive.google.com/file/d/1v5BdmakSqYvO4_2qHjhGw9xzM4szDgKn/view?usp=sharing)
- [Chapter 6 – Anomaly Detection](https://drive.google.com/file/d/1l1Ereti3c9HIYzDUYBLCI5rIiXfDx1QR/view?usp=sharing)

---

## Hourly Breakdown

| Chapter | Hours | Marks Distribution* |
| ------- | ----- | ------------------- |
| 1. Introduction | 2 | 4 |
| 2. Data Pre-processing | 6 | 10 |
| 3. Classification | 12 | 20 |
| 4. Association Analysis | 10 | 18 |
| 5. Cluster Analysis | 9 | 16 |
| 6. Anomaly / Fraud Detection | 3 | 6 |
| 7. Advanced Applications | 3 | 6 |
| **Total** | **45** | **80** |

*There may be minor variation in marks distribution.

*7th Sem*