On the contrary, there may be unstructured data, where there is no such format or structure followed while storing data. It has very limited application. An example is a text file containing some data, HTML files with some data etc.
2. As said by, Gerald Salton, IR or Information Retrieval is, “the discipline that deals with the structure, analysis, organization, storage, searching, and retrieval of information”. So, in general, IR is a process or retrieving information from a collection of documents or information in response to some query provided by some user.
IR is mainly related unstructured or semi-structured data and information retrieval.
3. In the case of information used for web searches, there may be 3 types of search. Those are,
4. There are 6 different phases of knowledge discovery from database are,
Consider an example of a transaction database for a retailer. The database contains information about the consumers, like name, address, contact number, item purchased, quantity, price, total amount etc.
So, a new sets of different knowledge can be retrieved from this database through KDD. The stages are,
5. The goals of the tasks facilitated by data mining attempts are,
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Han, J., Kamber, M., & Pei, J. (2011). Data Mining: Concepts and Techniques. Elsevier.
Manning, C. D., Raghavan, P., & Schütze, H. (2008). Introduction to Information Retrieval. Cambridge University Press.
Mullins, C. S. (2013). Database Administration: The Complete Guide to DBA Practices and Procedures. Addison-Wesley Professional.
Özsu, M. T., & Valduriez, P. (2011). Principles of Distributed Database Systems. Springer.
Rahimi, S. K., & Haug, F. S. (2010). Distributed Database Management Systems. John Wiley & Sons.
Silberschatz, A., Korth, H. F., & Sudarshan, S. (2011). Database System Concepts (6th ed.). McGraw-Hill.
Zaki, M. J., & Wagner Meira, J. (2014). Data Mining and Analysis. Cambridge University Press.
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