Data Mining and Warehousing RGPV Notes in Hindi

Computer Science Engineering Tutorials in Hindi 7th Semester Notes in Hindi Year: 2026

Set A

Engineering Student Sample Exam Paper 2026 (RGPV)

CS703(B) – Data Mining and Warehousing

VII Semester – B.Tech Computer Science Engineering

Model Question Paper – Set A
Time: Three Hours
समय: तीन घंटे
Maximum Marks: 70
अधिकतम अंक: 70

Instructions / निर्देश

  1. Attempt any five questions.
    किन्हीं पाँच प्रश्नों को हल कीजिए।
  2. All questions carry equal marks.
    सभी प्रश्न समान अंक के हैं।
  3. In case of any doubt, English version will be treated as final.
    किसी भी शंका की स्थिति में अंग्रेज़ी संस्करण मान्य होगा।

Q.1

14 Marks / 14 अंक

(a) Explain Data Warehouse architecture and discuss different components of Data Warehouse.

Data Warehouse architecture को समझाइए तथा Data Warehouse के विभिन्न components की व्याख्या कीजिए।

(7 Marks)

(b) Explain Data Cleaning and Data Transformation techniques used in data preprocessing.

Data preprocessing में उपयोग की जाने वाली Data Cleaning एवं Data Transformation techniques को समझाइए।

(7 Marks)

Q.2

14 Marks / 14 अंक

(a) Explain OLAP operations with suitable examples (Roll-up, Drill-down, Slice and Dice).

उपयुक्त उदाहरण सहित OLAP operations (Roll-up, Drill-down, Slice एवं Dice) को समझाइए।

(7 Marks)

(b) Differentiate between OLTP and OLAP with suitable examples.

उपयुक्त उदाहरण सहित OLTP एवं OLAP में अंतर स्पष्ट कीजिए।

(7 Marks)

Q.3

14 Marks / 14 अंक

(a) Explain Data Mining and compare Data Mining with Knowledge Discovery in Database (KDD).

Data Mining को समझाइए तथा Data Mining एवं Knowledge Discovery in Database (KDD) की तुलना कीजिए।

(7 Marks)

(b) Explain Data Mining task primitives and issues in Data Mining.

Data Mining task primitives एवं Data Mining की समस्याओं (issues) को समझाइए।

(7 Marks)

Q.4

14 Marks / 14 अंक

(a) Explain Decision Tree classification algorithm with suitable example.

उपयुक्त उदाहरण सहित Decision Tree classification algorithm को समझाइए।

(7 Marks)

(b) Explain Statistical based and Rule based algorithms used in classification.

Classification में उपयोग होने वाले Statistical based एवं Rule based algorithms को समझाइए।

(7 Marks)

Q.5

14 Marks / 14 अंक

(a) Explain Hierarchical clustering and Partition clustering methods.

Hierarchical clustering तथा Partition clustering methods को समझाइए।

(7 Marks)

(b) Explain DBSCAN and BIRCH clustering algorithms with suitable examples.

उपयुक्त उदाहरण सहित DBSCAN एवं BIRCH clustering algorithms को समझाइए।

(7 Marks)

Q.6

14 Marks / 14 अंक

(a) Explain Apriori Algorithm with suitable example.

उपयुक्त उदाहरण सहित Apriori Algorithm को समझाइए।

(7 Marks)

(b) Explain FP Growth Algorithm and compare it with Apriori Algorithm.

FP Growth Algorithm को समझाइए तथा इसकी तुलना Apriori Algorithm से कीजिए।

(7 Marks)

Q.7

14 Marks / 14 अंक

(a) Explain Metadata and Data Mart used in Data Warehousing.

Data Warehousing में उपयोग होने वाले Metadata एवं Data Mart को समझाइए।

(7 Marks)

(b) Explain similarity measures and Data Quality in Data Mining.

Data Mining में similarity measures एवं Data Quality को समझाइए।

(7 Marks)

Q.8

14 Marks / 14 अंक

Attempt any two / किन्हीं दो को हल कीजिए

(a) Snowflake Schema

स्नोफ्लेक स्कीमा

(7 Marks)

(b) Fuzzy Sets and Fuzzy Logic

फज़ी सेट एवं फज़ी लॉजिक

(7 Marks)

(c) CURE Clustering Algorithm

CURE क्लस्टरिंग एल्गोरिथ्म

(7 Marks)
CS703(B) – Data Mining and Warehousing (VII Semester) | Model Question Paper – Set A | RGPV Style
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Data Mining and Warehousing RGPV Notes in Hindi Question Papers - Computer Science Engineering Tutorials in Hindi

Download Data Mining and Warehousing RGPV Notes in Hindi previous year question papers for Computer Science Engineering Tutorials in Hindi 7th Semester Notes in Hindi. These RGPV question papers help you understand the exam pattern, important topics, and question distribution.

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