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DATA MINING IN BANKING AND ITS APPLICATIONS

process if they are discovered and put to use by capable tools (Kazi and Ahmed, 2012) For example, a decision support system based on data mining techniques can be employed to improve the quality of lending process in a bank (Ionita and Ionita, 2011) Figure 2 shows how data mining can improve decision making process 2 DATA MINING AND KNOWLEDGE...

5 Steps to Start Data Mining

Once the basics of the data extraction and identification process have been completed, it is time to turn that information and structure into a result Chapter 6 of Data Mining: Practical Machine Learning Tools and Techniques covers the role of implementing this process and building the decision that helps to generate the ultimate result Again ....

Data Mining Definition

Data mining is a process used by companies to turn raw data into useful information By using software to look for patterns in large batches of data, businesses can learn more about their ....

What Is Data Mining?

The Data Mining Process Figure 1-1 illustrates the phases, and the iterative nature, of a data mining project The process flow shows that a data mining project does not stop when a particular solution is deployed The results of data mining trigger new business questions, which in turn can be used to develop more focused models...

What is the CRISP

The first stage of the CRISP-DM process is to understand what you want to accomplish from a business perspective Your organisation may have competing objectives and constraints that must be properly balanced The goal of this stage of the process is to uncover important factors that could influence the outcome of the project...

6 essential steps to the data mining process

The primarily used equipment in crushing are-jaw crushers, gyratory crushers and cone crushers whereas rod mills and ball mills, closed circuited with a classifier unit, are generally employed for grinding purposes in a mineral processing plant Crushing is a dry process whereas grinding is generally performed wet and hence is more energy ....

12: Different Types of Process Mining

Process mining is the missing link between model-based process analysis and data-oriented analysis techniqu Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains...

Mineral Extraction

Mineral extraction sites, which include strip mines, quarries, and underground mines, contribute to surface water and groundwater pollution, erosion, and sedimentation (see Chapter 14) The mining process involves the excavation of large amounts of waste rock in order to remove the desired mineral ore (Fig 126) The ore is then crushed into ....

Data Mining Vs Data Visualization

Introduction to Data Mining and Data Visualization Data Mining and Data Visualization come under the field of Data Science which is an interdisciplinary field of computer science having statistics, computing, mathematics and several technical processes including different methodologi Data Mining is a part of Data Science where there will be a process of going through large data sets and ....

What is Data Analysis and Data Mining?

Jan 07, 2011· Data analysis and data mining are a subset of business intelligence (BI), which also incorporates data warehousing, database management systems, and Online Analytical Processing (OLAP) The technologies are frequently used in customer relationship management (CRM) to analyze patterns and query customer databas...

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