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Data Mining and Data Warehouse Practice Test
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Avg score: 60% • Most missed: “The non-root node of item-prefix-tree consists of ________ fields.”

Data mining vs Data warehouse:
Data mining is the process of determining data patterns. A data warehouse is a database system designed for analytics.

Data mining is the process of extracting useful data from a large set of data. Data warehousing is the process of combining all the relevant data.

We use a data warehouse to support management functions, and we use data mining to extract useful information and patterns from data.
 

Data Mining and Data Warehouse Practice Test
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25 Questions

1. The A Priori algorithm is a ___________.
2. __________ clustering techniques starts with all records in one cluster and then try to split that cluster into small pieces.
3. The itemsets in the _______category structures are not subjected to any counting.
4. RBF hidden layer units have a receptive field which has a ____________; that is, a particular input value at which they have a maximal output.
5. ___________ training may be used when a clear link between input data sets and target output values does not exist.
6. _______ is concerned with discovering the model underlying the link structures of the web.
7. Learning is
8. _______ clustering technique start with as many clusters as there are records, with each cluster having only one record.
9. Primary key is
10. Data is"
11. Web content mining describes the discovery of useful information from the _______contents.
12. The non-root node of item-prefix-tree consists of ________ fields.
13. ________is the most well known association rule algorithm and is used in most commercial products.
14. Investment analysis used in neural networks is to predict the movement of _________ from previous data.
15. A frequent pattern tree is a tree structure consisting of ________.
16. ____________ are a different paradigm for computing which draws its inspiration from neuroscience.
17. Search space
18. In data warehousing what is time-variant data?
19. DB/2 is
20. Transparency
21. The right hand side of an association rule is called _____.
22. The human brain consists of a network of ___________.
23. If a set is a frequent set and no superset of this set is a frequent set, then it is called ________.
24. In ___________ each cluster is represented by one of the objects of the cluster located near the center.
25. The itemsets that have completed on full pass move from dashed circle to ________.

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