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Data Warehousing & Mining
1. What is the concept of knowledge discovery in database?
2. Describe the following types of Multidimensional Data Models.• Stars, Snowflakes and Constellations• Concept Hierarchies• OLAP Operations
3. Discuss the following Data Preprocessing techniques.
4. State a frequent set.
5. Define the terms Classification and Prediction. Discuss the issues pertaining to Classification and Prediction.
6. Explain major clustering methods with examples.
Index And Tree Structure Let us talk about the data structure that is used for creating indexes. Can we use Binary Search Tree (BST) as Indexes? Let us initial reconsider
Explain Derived and Non-Derived Attribute? In few cases, two or more attribute values are related, for instance, Age and BirthDate attributes of a person. For specific person e
What is object containment? References among objects can be used to model dissimilar real-world concepts.
Draw an Entity-Relationship model for the relational schema given in the Appendix. Show all the entities, relationships, relationship names, and attributes and also underline the
DML Precompiler All the DBMS have two basic sets of Languages - Data Definition Language (DDL) that have the set of commands needed to define the format of the data that is b
Use of partial data by applications : In common, applications work with views rather than whole relations. Thus, it may be more appropriate to work with subsets of relations rather
What is completeness constraint on generalization? Define the variation between total and partial design constraint. Give an example each. Ans: Completeness Constraints
Define Specialisation and generalization in brief? Specialisation / generalization: Generalization or Specialization represents the is a relationship set, an necessary element
I have to solve a problem using access
Determine the minimal set of functional dependencies for the following data. This table is part of the OHSU database of extracurricular activities and tracks the DMICE band's co
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