Data Analytics (BCS052) - AKTU Question Paper 2024-25
B.Tech · Semester 5 · Free PDF Download
This is the official AKTU Data Analytics Previous Year Question Paper for B.Tech Semester 5, academic session 2024-25. Published by Dr. A.P.J. Abdul Kalam Technical University (AKTU/UPTU), Lucknow. Free PDF download — no login required.
Course:B.Tech
Semester:Semester 5
Session:2024-25
University:AKTU / UPTU
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Questions Asked in 2024-25
Data Analytics (BCS052) — extracted question text · 70 marks · 3 Hours
Section AAttempt all questions in brief. 2 x 07 = 14
- aDifferentiate between Predictive and Prescriptive Data Analyti cs
- bDefine the term data lake, dat a base and data warehouse
- cExplain the concept of Outliers. 2 K 2
- dDescribe the concept of Lasso Regression
- eDifferentiate between Steam Processing and Traditional Data Processing
- fWrite the two limitations of K-Mean
- gDiscuss the various categories of clustering techniques
Section BAttempt any three of the following: 07 x 3 = 21
- aExplain the different categories of data analytics with examples
- bExplore PCA. Given data = {4, 8, 13, 7; 11, 4, 5, 14}. Compu te the principal component using PCA algorithm. Also use PCA to reduce dimension from 2 to 1
- cE x p l o r e t h e t e r m - M a r k e t B a s k e t A n a l y s i s . I s i t s u p e r v i s e d or unsupervised? Determine how would a company use market basket analysis to improve its marketing strategies?
- dDifferentiate between CLIQUE and ProCLUS clustering
- eDifferentiate between NoSQL database and a Relational databa se. Identify when one should use a NoSQL database instead of a rela tional database with a suitable example
Section CAttempt any one part of the following: 07 x 1 = 07
- aDifferentiate between Structu red data, Semi-structured data and Unstructured Data
- bDescribe Big Data and its characteristics
- aDifferentiate between Neural Ne twork and Artificial Neural Network
- bA= {(10,0.2), (20,0.4), (25,0.7), (30,0.9), (40,1), (50,0.4}
B= {(10,0.4), (20,0.1), (25,0.9), (30,0.2), (40,0.6), (50, 0.6)} Apply Union, Intersection, Com plement, Bold Union and Bold Intersection operations on above listed Fuzzy Sets - aExplain and apply Flajolet-Martin algorithm on the following stream of data to identify unique elements in the stream. Given: h(x)=(6x+1) mod 5
- bD i s c u s s t h e C o n c e p t o f f i l t e r i n g i n D a t a S t r e a m P r o c e s s i n g . Explain Bloom Filtering in detail
- aCluster the following eight points (with (x, y) representing lo cations) into three clusters: A1(2, 10), A2(2, 5), A3(8, 4), A4(5, 8), A 5(7, 5), A6(6, 4), A7(1, 2), A8(4, 9). Initial cluster centers are A1(2, 10), A4(5
- 8and A7(1, 2). The distance function between two points a = (x1, y1) and b = (x2, y2) is defined as Use K-Means Algorithm to find the three cluster centers after implanting all ei ght points
- bThe database has 6 transactions. Assume Support threshold=50%, Confidence= 60% TID Items Bought 10 Beer, Nuts, Diape r 20 Beer, Coffee, Diape r 30 Beer, Diaper, Eggs 40 Nuts, Eggs, Mil k 50 Nuts, Coffee, Diaper, Eggs, Mil k 60 Beer, Nuts, Diape r i) Use Apriori algorithm to find all frequent itemsets. ii) Show all the strong association rules (with support and confidence)
- aBrief about the main components of MapReduce
- bDraw the architecture of HIVE with its features
Question text is extracted from the official AKTU question paper PDF above. Check the original PDF for equations, diagrams and complete wording. Extracted: 2026-08-23.
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