Data Mining Questions and Answers | DM | MCQ The difference between supervised learning and unsupervised learning is given by Select one: a. unlike unsupervised learning, supervised learning can be used to detect outliers b. unlike unsupervised learning, supervised learning needs labeled data – …
Design and Analysis of Algorithms Questions and Answers | DAA| MCQ In this DAA Quiz , we will cover these topics such as daa, algorithm analysis and design, design of algorithm, design and analysis of algorithm, algorithm design and analysis, analysis and design of algorithms …
Design and Analysis of Algorithms Questions and Answers | DAA MCQ Which of the following sorting algorithms does not have a worst case running time of O(n2) ? Select one: a. Bubble sort b. Quick sort c. Merge sort – d. Insertion sort Time Complexity …
Software Testing Methodologies Questions and Answers | STM | MCQ 1.Bug life cycle Select one: a. Open, Fixed, Assigned, Closed b. Assigned, Open, Closed, Fixed c. Open, Assigned, Fixed, Closed d. Assigned, Open, Fixed, Closed Incorrect 2.The output of product testing is: Select one: a. …
Software Testing Methodologies Questions and Answers | STM | MCQ Which of the following statements about functional testing is true? 1. Structural testing is more important than functional testing as it addresses the code 2. Functional testing is useful throughout the lifecycle and can …
Software Project Management Questions & Answers | SPM | MCQ Question 1 BlrBR02 What type of measure is LOC? Select one: a. Direct Correct b. Indirect c. Delphi d. Top down Question 2 BlrBR07. This is done before a Project begins Select one: a. Project …
Text Mining In Simple word, Text Mining is refers to refine the informational data from the bunch of data or collection of data.It also know as Text data mining which means deriving the high quality information from the existing data. Text Databases and IR …
Graph Mining Graph Mining is a Methods for Mining Frequent Subgraphs Mining Variant and Constrained Substructure Patterns Applications of Graph Mining are : Graph Indexing Similarity Search Classification and Clustering Why Graph Mining ? Graphs are ubiquitous Chemical compounds (Cheminformatics). Protein structures, biological pathways/networks (Bioinformactics). …
Recommendation System According to some known author Recommendation System is a System that produces individualized recommendations as output or has the effect of guiding the user in a personalized way to interesting or useful objects in a large space of possible options Burke (2002) A …
Fraud Detection In Simple word, Fraud Detection is the technique used to detect frauds in any system or process. Fraud can be defined as a criminal activity, involving false representations to gain an unjust advantage (Concise Oxford Dictionary) The Association of Certified Fraud Examiners estimates …