Business: Artificial Neural Network and Data

2030 Words Feb 23rd, 2011 9 Pages
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
…show more content…
Common tools used for supervised induction are neural networks , decision trees, and if then else rules tree

36. Which of the following procedure is used to break datasets into different pairs of training and testing sets resampling

37. Lotus notes provide online collaboration capabilities

38. Communication occurs when the receiver gets the information at a different time asynchronous

39. A rule-based expert system contains rules in its knowledge base and the rules are used to generate questions

40. Which of the following is the brain of an expert system inference engine

41. Decisions trees are comprised of essentially a hierarchy of if-then statements

42. A decision tree can be defined as a root followed by internal nodes. each node(including the root)is labeled with a question

43. Which of the following describes how data are organized and how to use them effectively? Metadata

44. The difference between the actual output and the desired output for a given set of inputs is an error named Alpha

45. Data mining provides organizations with an indispensable decision-enhancing environment to exploit new opportunities by transforming date into a strategic weapon

46. Cluster analysis is a exploratory data analysis tool for solving classification problems

47. A major step in managerial decision making is forecasting. There are many methods to do