Business: Artificial Neural Network and Data

Topics: Data mining, Artificial neural network, Neural network Pages: 7 (2021 words) Published: February 14, 2011
1. The independent data marts have inconsistent data definitions and different dimensions and measures, 2. Which of the following is not a major activity of OLAP? Analytics 3. Which of the following are reports that are similar to routine reports,Ad-hoc reports 4. Clustering techniques involves optimization this is because we want to create group that have maximum similarity among members within each group… 5. Which of the following is the reason why neural networks have been applied in business classification problems? Able to learn the data, able to learn the models' nonparametric nature, its ability to generalize, All of the above 6. The main processing elements of a neural network are individual neurons 7. A software suite is created when several software products are integrated into system 8. One dose not have to rethink completely what to do every time a similar problem is encountered , when using rules of thumb 9. Common tools used for supervised induction are neural networks, dicision trees and if then else rules that need not have a tree structure 10. data cleansing is a critical aspect of data warehousing that includes reconciling conflicting data definitions and formats organization-wide. 11. which of the following is not a major activity of OLAP? Analytics 12. which of the following is a capability provided by OLAP to large set of data? Modeling, Analysis , visualization, all of the above 13. calculate the weights of the remaining terms is one of the steps in text minig which basically calculates the frequency with which the word appears. 14. Data mining is the process of engineering mathematical patterns from usually large sets of data 15. There are about 50 to 150 billion neurons in the human brain and these neurons are petitioned into groups called network. 16. An artificial neural network is composed of many interconnected artificial neuron 17. which of the following is the brain of an expert system? Inference engine 18. organizations are now getting to recognize that a major source of competitive advantage is the unstructured knowledge contained in an organization's knowledge store in the form of documents. 19. Neural networks involve the development of mathematical structures with the ability to learn. They tend to be most effective where the number of variables involved is very large… 20. which of the following provides the most current information on the status of an item such as orders, expenses, or production quantity? Status report 21. which of the following is the basic element of a knowledge base in expert system? Facts, heuristics and rules 22. Forecasting is a form of estimation. It estimates future values based on patterns within large sets of data 23. the advantage of three-tier architecture for data warehousing is its sparation of the functions of the data warehouse , which eleiminates reasurce constraints and makes it possible to easily create data Mart 24. which of the following is not a capability provided by major BI software companies? Reporting deletion 25. Which of the following provides the models and the analyses procedures to business intelligence? Business analytics 26. which of the following can be seen as the identification of associations over time?......Sequence discovery 27. which of the following is a task of data mining? Data archaeology 28. The summation function computes the weighted sums of all the input elements entering each processing element. 29. which of the following component is for knowledge refinement of an expert system? Machine learning 30. cluster analysis is a exploratory data analysis tool for solving classification problems 31. Etl process consists of extract, transfer and load. transformation occurs by using Rules or lookup tables

32. EIS is very user friendly, is supported by graphics and provides the capabilities of exception reporting

33. Which of the following can be used by an analytic application for credit scoring for a loan applicant:...
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