Data Mining Tan Solution-manual
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Today, the collection and analysis of data is integral to the strategic performance of an organization. When performance does not meet targeted expectations organizations must be in a position to analyse performance data to gain insight on how relevant strategies can be improved. They need to find out why they are having problems, what the cause is and the optimal approach for improvement.
Exploration: The aim is to gain new insight on your business and discover new patterns in your data. We may discover a small segment of customers that are not satisfied and discover their locality is not covered well by service technicians.
Validation: It is the process of assessing how well data mining models perform against real data. It is important that to validate data mining models by understanding their quality and characteristics before to deploy them into a production environment.
Business Intelligence: Business intelligence (BI) is the ability of an organization to collect, maintain, and organize knowledge. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies are reporting, online analytical processing (OLAP), analytics, process mining, complex event processing, business performance management, benchmarking.
ETL: Extract, Transform and Load (ETL) refers to a process in database usage and especially in data warehousing that involves Extracting data from outside sources, Transforming it to fit operational needs and loading it into the end target (database, more specifically, operational data store, data mart or data warehouse).
Data Warehouse: A data warehouse is a database used for reporting and data analysis. It is a central repository of data which is created by integrating data from multiple disparate sources. Data warehouses store current as well as historicsal data and are commonly used for creating trending reports for senior management reporting such as annual and quarterly comparisons.
Data Mining: Data mining is the process of analyzing data from different perspectives and summarizing it into useful and actionable information. Data mining software is one of a number of analytical tools for analyzing data.
OLAP: Online analytical processing which provide multi-dimensional views of various kinds of business activities or data. OLAP tools enable users to interactively analyze multidimensional data from multiple perspectives. OLAP consists of three basic analytical operations: consolidation (roll-up), drill-down, and slicing and dicing. 59ce067264