Question 1 Marks: 10 Which of the following classify data into a finite number of classes, based on the values of the input variables?

Question 1Marks: 10Which of the following classify data into a finite number of classes, based on the values of the input variables?Choose one answer. A. Finite theory B. Class classification C. Decision trees D. Neural networksQuestion 2Marks: 10Which of the following is not a specialty coming out from text mining?Choose one answer. A. Mining specialist B. Information retrieval C. Natural language processing D. Computational linguisticsQuestion 3Marks: 10Most implementations of the learning process in neural network include a counterbalancing parameter called __________ to provide a balance to the learning rate.Choose one answer. A. momentum B. power C. energy D. forceQuestion 4Marks: 10Which of the following is not a consideration in selecting a neural network structure?Choose one answer. A. Determination of input nodes B. Selection of a topology C. Determination of weighting functions D. Determination of output nodesQuestion 5Marks: 10All phases of the decision making process can be supported by improved communication by __________ through group support systems and knowledge management systems.Choose one answer. A. group computing B. shared computing C. collective computing D. collaborative computingQuestion 6Marks: 10Most data mining applications include intelligent systems, such as artificial neural networks (ANN) and rule induction methods for expert systems (ES), to search for potentially profitable __________ in data.Choose one answer. A. patterns B. trends C. sections D. samplesQuestion 7Marks: 10A DSS is an approach for supporting decision making. It uses an interactive, flexible, adaptable computer-based information system (CBIS) especially developed for supporting the solution to a specific, __________ management problem.Choose one answer. A. hard B. problematic C. easy D. nonstructuredQuestion 8Marks: 10Which of the following is a benefit of a data warehouse?Choose one answer. A. All of the above B. Simplification of data access C. Better and more timely information D. Consolidated view of corporate dataQuestion 9Marks: 10Which of the following type of meta data describes the meaning of the data in a specific domain?Choose one answer. A. Semantic B. Structural C. Business D. TechnicalQuestion 10Marks: 10Which of the following are tools that help determine the probable future outcome for an event or the likelihood of a situation occurring?Choose one answer. A. Extrapolative analytics B. Prognostic analytics C. Projecting analytics D. Predictive analyticsQuestion 11Marks: 10__________ is a critical aspect of data warehousing that includes reconciling conflicting data definitions and formats organization-wide.Choose one answer. A. Data cleansing B. Data modification C. Fact refinement D. Data purificationQuestion 12Marks: 10Which of the following, by definition, requires a decision maker to consider the impact of each alternative course of action on the entire organization because a decision made in one area may have significant effects in other areas?Choose one answer. A. Feasibility B. Worst-case C. Satisfaction D. OptimizationQuestion 13Marks: 10A __________ is a central repository of historical data, organized in such a way that access is easy (using Web browser) and manipulation for decision support is convenient.Choose one answer. A. data bank B. data repository C. data warehouse D. data diskQuestion 14Marks: 10Which of the following is a study of the effect of a change in one or more input variables on a proposed solution?Choose one answer. A. Fish bone analysis B. Boundary analysis C. Sensitivity analysis D. Input-output analysisQuestion 15Marks: 10Which of the following is a capability provided by OLAP to large set of data?Choose one answer. A. Analysis B. Modeling C. Visualization D. All of the aboveQuestion 16Marks: 10A model builder makes predictions and assumptions regarding the input data, many of which deal with the assessment of uncertain futures. Which of the following attempts to assess the impact of a change in the input data or parameters on the proposed solution?Choose one answer. A. Mathematical relationships B. Goal programming C. Decision analysis D. Sensitivity analysisQuestion 17Marks: 10Which of the following subsystem can support any of the other subsystems or act as an independent component? It also provides intelligence to augment the decision maker’s own?Choose one answer. A. Expertise-base subsystem B. User interface subsystem C. Intelligence-base subsystem D. Knowledge-base management subsystemQuestion 18Marks: 10The major benefit of __________ to the company is the ability to provide accurate information when needed.Choose one answer. A. data warehouse B. management information systems C. business intelligence D. analytical modelsQuestion 19Marks: 10Decisions Support Systems models can be classified as __________.Choose one answer. A. static and dynamic B. deterministic and stochastic C. static and stochastic D. deterministic and dynamicQuestion 20Marks: 10Typically there is some randomness in the real decision-making situation. Because DSS deals with semistructured or unstructured situations, reality is complex, which may not be easily represented by optimization or other models but can often be handled by __________.Choose one answer. A. simulation B. statistical analysis C. linear programming D. forecasting