Data mining

interested in is Data Mining. This is interesting to me because it can help in various areas of society. This includes the medical field, elderly care, and commerce. This is controversial because of the amount and type of personal data that is being collected. We are living in the “Big Data” era where there are many ways to collect data. It could be from your watch, phone, light bulbs or your car. Even your television collects data. I will explain and define the usage of data mining in these three areas. The fullness of benefits that this topic, Data Mining, has to offer has not been truly achieved. New technologies are around the corner, namely Data Stream Mining. Although data mining has the ability to express data collected in a field in a way that can be beneficial. Some of the fruits of this labor are used for diagnosing patients, helping the elderly live independently and make commerce more profitable and efficient. The negative side is the acts of collecting personal health information, constant monitoring of people and extra taxes that are imposed. With our ability to collect more biometrics,…

Data mining is an interdisciplinary field of the computer engineering which includes gathering, preparing, putting away and investigating information with a specific end goal to find (and concentrate) new data from it. There are various advantages of data mining, yet to comprehend them completely, we need to have some fundamental information of what information mining really is and what end goal we need to achieve by applying certain techniques on a data set. It is the computational procedure of…

expressed by this data analyst. Data mining in the real world is a lot different from the way it’s described in textbooks for many reasons. First of all, data are always dirty with missing values, values way of the range of possibility, and time value that make no sense. In addition, missing values are problematic because missing values make data dirty and it’s not possible to use dirty data which means missing values decrease data. Sometimes it’s possible to do a much better day analysis by…

Running head: Data Mining & Business Analytics Mid Term MIS 5375 580: Data Mining & Business Analytics Mid Term Exam Mukesh Reddy Dhanagari Texas A&M International University Author Note Mukesh Reddy Dhanagari is a student of Texas A&M International University from the department of Information Systems. This document is in correspondence with the course MIS 5375 580 for the purpose of midterm examination only. Any concerns regarding can be addressed to…

Data mining is most dominant technology at present. It is one of the most important and inspiring area of research. It is a process for exploration and analysis of huge amount of data. The concept of Data Mining is used in many sectors such as industries, universities, banking and many more as it helps to study on the important data about the activities of the customers. With the results obtained from data mining the firms could able to discover the new things which help to improve their…

prospect customer in hand, the company may needs to choose the appropriate approaches to get to the customer. Data mining can often help in finding the customer that gives the highest value to the company and using appropriate promotional tools to get to the customer. As the amount of data increases, the process of choosing relevant demographic would be troublesome without data mining techniques. Data mining helps the company in the following ways: 1. To differentiate and value…

very less use of technology since not too many technologies were invented. It consumed a lot of time for doctors to see their patients. Patients were not able to schedule their appointments easily. All the patient’s data were written as documents on a paper, which were at high risk of being lost. Over the years, not only hospitals, but also clinical researches had introduced a lot of technology to their way of diagnosing, treating, or educating patients about the diseases people were facing. The…

They are tools for collecting, processing and analyzing data. This way, businesses can evaluate the results and interpret them. For the business, The importance of the application of information management and bringing knowledge to business in order to make better decisions on a day-by-day basis, (Agiu, Mateescu, & Muntean, 2014). Based on the newest technologies, Business Intelligence systems are essential for the decisional level efficiency, but also for improving relations with the clients,…

Data Mining and Nursing Discovery Data mining and knowledge discovery in databases (KDD) are methods used to extract meaningful information from large datasets. The health care industry increasingly employs these techniques in various aspects to improve the quality of patient care and performance of clinical systems. Data mining is one of the steps in the KDD process. Data mining and KDD offer many benefits in health care facilities as well as the nursing profession as learning tools. In…

investigations, researchers were used some new mathematical approaches such as fuzzy logic (Ercanoglu & Gokceoglu 2002; Kanungo et al. 2008; Pradhan 2010, 2011; Pourghasemi et al. 2012; Regmi et al. 2013; Zhu et al. 2014(, artificial neural networks (Ermini et al. 2005; Kanungo et al. 2006; Melchiorre et al. 2008; Yilmaz 2009, 2010; Pradhan & lee 2010; Poudyal et al. 2010; Pradhan & Buchroithner 2010; Zare et al. 2012; Tien Bui et al. 2012; Salarian et al. 2014; Conforti et al. 2014),…