95 give an example each to explain the concept of

Info iconThis preview shows page 1. Sign up to view the full content.

View Full Document Right Arrow Icon
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: for each of the following types of relationships that need to be taken care of in multimedia database systems: (a) Spatial relationship (b) Temporal relationship (c) Synchronization relationship 68. Describe any two database query methods that are typically used in multimedia database systems. 69. Write short notes on: (a) Database security (b) Active database systems (c) Multimedia database systems (d) Client-server database systems (e) Distributed database systems 70. Write short notes on: (a) Storage requirements of multimedia databases (b) Query features in multimedia database systems (c) Relationships among data in multimedia database systems (d) Data manipulation features in multimedia database systems 71. Write short notes on: (a) Data storage hierarchy (b) Output versus report files (c) Backup files (d) Master versus transaction files (e) File-oriented versus database-oriented approaches of organizing data 72. Write short notes on: (a) Sequential file organization (b) Direct file organization (c) Indexed sequential file organization 73. Write short notes on: (a) Sorting (d) Copying (b) Searching (e) Printing (c) Merging (f) Maintenance 74. Write short notes on: (a) Database models (c) Components of a DBMS (b) Database schema (d) Query features in database systems 75. What is meant by knowledge discovery in databases (KDD)? What is the main motivation behind KDD? 76. Describe the KDD process. 77. Differentiate among the terms knowledge discovery in databases (KDD), data warehousing, and data mining. 78. Explain the following terms with respect to the KDD process: (a) Data selection (c) Data transformation (b) Data cleaning (d) Data mining 79. The KDD process is interactive and iterative. Discuss. 80. What is a data warehouse? Explain its key features. 81. A data warehouse is defined as a subject-oriented, integrated, time-variant, and non-volatile collection of data. Explain the meaning of the key terms used in this definition. 82. When does an organization typically need to build a data warehouse? 83. Describe the process of building a dat...
View Full Document

Ask a homework question - tutors are online