Table Of Content Introduction Applications of Data Mining In Healthcare Sector Measuring Treatment Effectiveness Improved Healthcare Management Customer Relationship Management Detecting Fraud and Abuse Data Mining – Its Effects on Privacy Future of Data Mining in Healthcare Final Thoughts Introduction Applications of Data Mining: Nowadays, an electronic health record is the most popular among healthcare…
Introduction Data Mining Techniques: In these days, most organizations have more access to data now than they have ever had before. However, developing the sense of large volumes of structured and unstructured data. In order to implement organization-wide improvements. Specifically, it is most challenging due to the sheer amount of information. If it is not…
Data Mining Business Intelligence: In the current era, most businesses are continually seeking a competitive benefit. In fact, it will allow them to deliver products and services at a lower cost, higher quality, and faster speed than their competitors. The path to doing so begins with the volume and quality of data they are able…
Advancement in the field of Information Technology has to lead to a large number of databases in various areas. As a result, there is a store and manipulate the data that will later for decision making. Data Mining Projects is a set of calculations that create a model from data. To create a model, the…
Data Mining Techniques Generally, data mining are the process to discover patterns in large datasets that involve methods to intersect machine learning, statistics and database systems. In the same way, data mining for marketing strategy is to evolve more active marketing strategies and also to upsurge sales rate. Additionally, it declines the costs. For this reason,…
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TRAST: Trust-Based Distributed Topology Management for Wireless Multimedia Sensor Networks