Data Mining and Data Warehousing
KDD, OLAP, Bayesian Classification, etc,.
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Data Mining, like gold mining, is the process of extracting value from the data stored in the data warehouse. Data mining includes the process of transforming raw data sources into a consistent schema to facilitate analysis; identifying patterns in a given dataset, and creating visualizations that communicate the most critical insights. This book highlights the basics of Data Mining concepts like Classification of Data mining Systems, Major Issues in Data Mining, Knowledge Discovery in Databases (KDD), etc. Data warehousing also includes the process of aggregating data from various database so...
Data Mining, like gold mining, is the process of extracting value from the data stored in the data warehouse. Data mining includes the process of transforming raw data sources into a consistent schema to facilitate analysis; identifying patterns in a given dataset, and creating visualizations that communicate the most critical insights. This book highlights the basics of Data Mining concepts like Classification of Data mining Systems, Major Issues in Data Mining, Knowledge Discovery in Databases (KDD), etc. Data warehousing also includes the process of aggregating data from various database sources into one place for efficient access and analysis. This book highlights the basics of Data warehousing concepts like OLAP (Online analytical Processing), Data Preprocessing, Association Rule Mining, Market basket analysis, Frequent Pattern Mining, etc.
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