---
title: "Need of DW and DM in government, medical, military"
subject: "Data Mining"
chapter: 1
key: "semester_7/data_mining:dw-necessity-gov-medical-military"
source: https://www.bctengineer.com/q/semester_7/data_mining/dw-necessity-gov-medical-military
site: BCT Engineering
---

# Need of DW and DM in government, medical, military

Data Mining · Chapter 1: Introduction

- Asked in: year not given, 8 marks
- Answer checked by Claude Opus 5.5 (high effort) on 2026-10-14
- Page: https://www.bctengineer.com/q/semester_7/data_mining/dw-necessity-gov-medical-military
- Whole chapter: https://www.bctengineer.com/md/semester_7/data_mining/chapter-1

## Question

Explain the necessity of Data warehousing and data mining in government, medical and military. Characterize the warehouse data with example.

## Short answer

Government, medical, and military sectors need warehousing to integrate scattered data and mining for insights like fraud detection, disease prediction, and threat analysis. Warehouse data is subject-oriented, integrated, time-variant, and non-volatile. Example: a hospital fact table Treatment(patient_key, doctor_key, disease_key, time_key, cost, stay_days) enables queries like average stay per disease per year.

## Answer

#### Necessity of data warehousing and data mining
Government, medical and military organisations hold huge volumes of data in separate systems. A warehouse integrates them and data mining finds knowledge in them.

**Government**
- Warehouse: integrates tax, census, land, citizenship and budget data for e-governance and planning.
- Mining: detect tax evasion and fraud, predict population and resource needs, find areas for development projects, analyse crime patterns.

**Medical**
- Warehouse: gives a complete patient history from hospitals and labs; supports hospital management and research.
- Mining: diagnosis and disease prediction, finding treatment-outcome patterns, detecting insurance fraud, epidemic tracking.

**Military**
- Warehouse: integrates intelligence, logistics, personnel and equipment data.
- Mining: threat and anomaly detection, logistics and supply forecasting, personnel planning, analysis of surveillance data.

#### Characterising warehouse data with an example
Warehouse data is **subject-oriented** (by patient, not by department), **integrated** (one coding of disease and gender), **time-variant** (patient records over 10 years) and **non-volatile** (past diagnoses are never overwritten, new visits are added).

Example: a hospital warehouse has fact table `Treatment(patient_key, doctor_key, disease_key, time_key, cost, stay_days)` with dimensions patient, doctor, disease and time. Queries like "average stay per disease per year" can be answered quickly.

## Check yourself

The answer's key points as multiple-choice questions, with the correct option and why.

1. Which is a government data mining use?
   A. Detecting tax evasion and analysing crime patterns
   B. Drug discovery
   C. Tumour detection
   D. Threat detection
   Answer: A. Government mines tax, crime and planning data. (Key point: Government mining)

2. What does a medical warehouse give?
   A. Complete patient history from hospitals and labs
   B. Only military logistics
   C. Tax records
   D. Only billing
   Answer: A. It integrates patient history for management and research. (Key point: Medical warehouse)

3. In the hospital example, subject-oriented means data organised by?
   A. Server
   B. Patient
   C. Operation time only
   D. Department
   Answer: B. Subject-oriented is by patient rather than department. (Key point: Subject-oriented example)

4. What is the hospital Treatment fact table's measures?
   A. patient_key and doctor_key
   B. disease_key
   C. time_key
   D. cost and stay_days
   Answer: D. cost and stay_days are numeric measures; the keys link to dimensions. (Key point: Fact table)

## Related in Data Mining

- [Data mining vs DW and applications](https://www.bctengineer.com/question.md?key=semester_7%2Fdata_mining%3Adm-vs-dw-applications) — Data Mining, chapter 1
- [Define data warehousing and creation process](https://www.bctengineer.com/question.md?key=semester_7%2Fdata_mining%3Adw-creation-process) — Data Mining, chapter 1
- [Data warehouse, data mart and need](https://www.bctengineer.com/question.md?key=semester_7%2Fdata_mining%3Awarehouse-datamart-need) — Data Mining, chapter 1
- [National data warehouse process architecture](https://www.bctengineer.com/question.md?key=semester_7%2Fdata_mining%3Anepal-national-data-warehouse) — Data Mining, chapter 1
- [Data mining and its applications](https://www.bctengineer.com/question.md?key=semester_7%2Fdata_mining%3Adm-banking-biomedical) — Data Mining, chapter 1
- [Data warehouse architecture and components](https://www.bctengineer.com/question.md?key=semester_7%2Fdata_mining%3Adw-architecture-components) — Data Mining, chapter 1

## Related in other subjects

- [Short note: data mining and warehousing](https://www.bctengineer.com/question.md?key=semester_8%2Finformation_system%3Adata-mining-and-warehousing-note) — Information System, chapter 4
- [Data warehouse and data mining](https://www.bctengineer.com/question.md?key=semester_8%2Finformation_system%3Adata-warehouse-data-mining) — Information System, chapter 4, asked 2×
- [Data mining and business knowledge](https://www.bctengineer.com/question.md?key=semester_8%2Finformation_system%3Adata-mining-business-knowledge) — Information System, chapter 4
- [Tendering and need in government sector](https://www.bctengineer.com/question.md?key=semester_8%2Fengineering_professional_practice%3Atendering-why-government) — Engineering Professional Practice, chapter 4