![]() ![]() The followings are some of the most important research topics of data mining. So it is a simple query and not data mining. For example, a database query “SELECT * FROM table” is just a database query and it displays information from the table but actually, this is not hidden information. The query takes a decision according to the given condition in SQL. ![]() Implementation considerations in building data warehouse ii). The expert system takes a decision on the experience of designed algorithms 7 Explain about data extraction, clean up and transformation tools.Expert systems(in artificial intelligence).Computer Science Research Topics for MS PhD Data Mining is the computational process of discovering patterns, trends and behaviors, in large data sets using artificial intelligence, machine learning.Data Generalization In Data Mining – Summarization Based Characterization.Analytical Characterization in Data Mining.KNN algorithm in data mining with examples.TF IDF Cosine similarity Formula Examples in data mining.Proximity Measure for Nominal Attributes Data cleansing or data cleaning is the process of detecting and correcting (or removing) corrupt or inaccurate records from a record set, table, or database and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data. ![]()
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