Podcast
Questions and Answers
Which factor presents the LEAST influence on the success of a Decision Support System (DSS)?
Which factor presents the LEAST influence on the success of a Decision Support System (DSS)?
- The programming language in which the DSS is developed. (correct)
- The degree of user involvement in the design process.
- The quality and relevance of the data used.
- The alignment of the DSS with the organization's strategic goals.
What is the primary difference between supervised and unsupervised learning in data mining?
What is the primary difference between supervised and unsupervised learning in data mining?
- Unsupervised learning can only be applied to numerical data, while supervised learning can handle categorical data.
- Unsupervised learning is used for classification tasks, while supervised learning is used for clustering.
- Supervised learning requires labeled data for training, while unsupervised learning does not. (correct)
- Supervised learning algorithms are typically faster than unsupervised learning algorithms.
How does the architecture of business intelligence (BI) contribute to decision-making within an organization?
How does the architecture of business intelligence (BI) contribute to decision-making within an organization?
- By ensuring data security and preventing unauthorized access to sensitive information.
- By automating routine tasks and reducing the need for human intervention.
- By optimizing marketing campaigns and increasing customer engagement.
- By providing a framework for collecting, storing, analyzing, and disseminating information. (correct)
What is the main goal of applying normalization techniques like decimal scaling or min-max normalization to data?
What is the main goal of applying normalization techniques like decimal scaling or min-max normalization to data?
In the context of classification methods, what does evaluating the criteria primarily help determine?
In the context of classification methods, what does evaluating the criteria primarily help determine?
How do AI and intelligent agents MOST effectively enhance knowledge management within organizations?
How do AI and intelligent agents MOST effectively enhance knowledge management within organizations?
What role does the 'confusion matrix' play in evaluating the performance of a classification model?
What role does the 'confusion matrix' play in evaluating the performance of a classification model?
What best describes the primary function of 'knowledge engineering' in the development of expert systems?
What best describes the primary function of 'knowledge engineering' in the development of expert systems?
How would you differentiate an 'open cycle system' from a 'closed cycle system'?
How would you differentiate an 'open cycle system' from a 'closed cycle system'?
In the context of web mining, what distinguishes 'web content mining' from 'web usage mining'?
In the context of web mining, what distinguishes 'web content mining' from 'web usage mining'?
Flashcards
Business Intelligence Architecture
Business Intelligence Architecture
The architecture that involves various stages such as data acquisition, storage, analysis, and presentation to support business decision-making.
Decision Support System (DSS)
Decision Support System (DSS)
A system that aids decision-making through data analysis, modeling, and simulation, helping users make informed choices.
Knowledge Management System (KMS) Cycle
Knowledge Management System (KMS) Cycle
A cyclical information system used to manage knowledge creation, sharing, and application within an organization.
Data Normalization Techniques
Data Normalization Techniques
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K-means Algorithm
K-means Algorithm
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Rosenblatt Perceptron
Rosenblatt Perceptron
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Market Basket Analysis
Market Basket Analysis
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Web Mining
Web Mining
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Tactical Planning
Tactical Planning
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Artificial Intelligence
Artificial Intelligence
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Study Notes
- Paper/Subject Code: 88703 / Business Intelligence.
- Total Marks: 75
- Duration: 2½ Hours
- All questions are compulsory.
- Make suitable assumptions wherever necessary and state them where made.
- Answers to the same question must be written together.
- Numbers to the right indicate marks.
- Draw neat labeled diagrams wherever necessary.
- Non-programmable calculators are allowed.
Business Intelligence
- Business intelligence involves the architecture of business intelligence.
- Different phases exist in the development of a business intelligence system.
Decision Support System (DSS)
- A decision support system (DSS) aids in decision-making.
- Factors affect the degree of success of the DSS.
- Decisions can be classified according to their nature and scope.
- A system can be defined as a closed cycle or an open cycle.
- Describe different phases in the development of a DSS.
Modeling
- Mathematical models for decision-making have phases in their development.
- Mathematical models can be divided according to their characteristics, probabilistic nature, and temporal dimension.
Data Mining
- Data mining involves discovering patterns in large data sets.
- It has real-life applications.
- Categorical and numerical attributes can give a proper example.
- Supervised learning uses labeled data for training.
- Unsupervised learning does not require labeled data.
Normalization Techniques
- Decimal scaling involves moving the decimal point in values to scale them.
- In min-max normalization, values are scaled to a range, often between 0 and 1.
Classification Methods
- Criteria can evaluate classification methods.
- Top-down induction of decision trees involves recursive partitioning of the data.
- A process for top-down induction of decision trees includes components such as attribute selection.
- Naive Bayesian classifiers are probabilistic classifiers based on Bayes' theorem.
- K-means algorithm is a method for cluster analysis.
- The Rosenblatt perceptron is a neural network model.
- Confusion matrix summarizes the performance of a classification algorithm.
Web Mining methods
- Market basket analysis identifies associations between items.
- Web mining methods serve multiple purposes.
- "Tactical planning" optimization model is used for logistics planning.
- The Charnes-Cooper-Rhodes (CCR) model assesses the efficiency of decision-making units.
- An efficient frontier represents a set of optimal solutions.
- Relational marketing uses data mining for database marketing applications.
Knowledge Management
- Knowledge management refers to the process of capturing, distributing, and effectively using organizational knowledge.
- Data is raw facts.
- Information is data organized with context.
- Knowledge is the understanding gained through experience or study.
- The knowledge management system (KMS) cycle details managing knowledge within an organization.
- Artificial Intelligence (AI) and intelligent agents support knowledge management.
- Knowledge management is related to knowledge portals.
- Characteristics of artificial intelligence involves learning.
- Knowledge engineering involves acquiring knowledge from human experts and coding it into a system.
- Expert systems have many applications.
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