Business: Artificial Neural Network and Data
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.
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.