Introduction to data mining and its applications by S. Sumathi

By S. Sumathi

This publication explores the techniques of information mining and information warehousing, a promising and flourishing frontier in database structures, and provides a huge, but in-depth evaluation of the sector of information mining. info mining is a multidisciplinary box, drawing paintings from parts together with database expertise, man made intelligence, computing device studying, neural networks, records, development reputation, wisdom established platforms, wisdom acquisition, info retrieval, excessive functionality computing and information visualization.

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It created the basis for the network model which was standardized by CODASYL (Conference on Data System Language). Late 1960s. IBM developed the Information Management System (IMS). IMS used an alternate model, called the Hierarchical Data Model. 1970. Edgar Codd, from IBM created the Relational Data Model. In 1981 Codd received the Turing Award for his contributions to database theory. Codd Passed away in April 2003. 1976. Peter Chen presented Entity-Relationship model, which is widely used in database design.

Integrated Data A data can be considered to be a unification of several distinct data files and when any redundancy among those files is eliminated, the data are said to be integrated data. Shared Data A database contains data that can be shared by different users for different application simultaneously. It is important to note that in this way of sharing of data, the redundancy of data are reduced, since repetitions are avoided, the possibility of inconsistencies is reduced. Persistent Data Persistent data are one, which cannot be removed from the database as a side effect of some other process.

Name STUDENT Roll Number CLASS Attends Subject Name Fig. 1. 3 Classification of Entity Sets Entity sets can be broadly classified into: 1. Strong entity. 2. Weak entity. 3. Associative entity. 1 Strong Entity Strong entity is one whose existence does not depend on other entity. Example Consider the example, student takes course. Here student is a strong entity. Student takes Course In this example, course is considered as weak entity because, if there are no students to take a particular course, then that course cannot be offered.

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