Gandhi, Kanika, et al. “Towards Data Mining Based Decision Support in Manufacturing Maintenance.” Procedia CIRP, vol. 72, 2018, pp. 261–265., doi:10.
1016/j.procir.2018.03.076.This article emphasizes the importance and advantages of data mining in manufacturing companies.
The article explains how using databases to predict the health status and performance of products in manufacturing process to prevent unexpected breakdowns from machines. Additionally, this article points out that using data correctly in manufacturing process can help business to become successful. The article also demonstrates different data mining techniques and tools in manufacturing process which can help to show the advantages of each individual method. The article is written by experts and professional in the fields of engineering and information technology. Therefore, this article is highly recommended for anyone whom are interested in learning about the applications behind data mining. As the article addresses the benefits of using database correctly to prevent any unexpected errors from machines. I can use this source to show the different advantages of data mining in the manufacturing process.
Hosseinpour, Mohammad Javad, and Mohammad Nabi Omidvar. “Notice of Violation of IEEE Publication Principles – Detecting Terror-Related Activities on the Web with Using Data Mining Techniques.” 2009 Second International Conference on Computer and Electrical Engineering, 28 Dec. 2009, doi:10.1109/iccee.
2009.46.This article describes the advantages of data mining in preventing further terrorism activities and detecting harmful information. The article points out that many terrorists are currently using internet to exchange information or to recruit new members to their groups. Different data mining methods and techniques, such as “Intrusion detection system (IDS)” and “Clustering Techniques” are introduced and explained throughout the article to help the reader understand how each method can help to gather information about any terrorism activities. The article also explains the current issues and difficulties of monitoring terrorism activities due to unfixed IP addresses and its locations.
Importantly, the article introduces a new way of solving these problems by using different data mining techniques and algorithms which can help to detect and monitor all ISPs address. However, this source addresses different advantages of data mining in helping law enforcement to detect and find any harmful information about terrorism activities. I can use this source to show the benefits of using data mined to gather useful information which can help to prevent further terrorism activities. Hampton, Tracy.
“Data Mining Approach Shows Promise in Detecting Unexpected Drug Interactions.” Jama, vol. 306, no. 2, 2011, doi:10.1001/jama.2011.918.The article “Data Mining Approach Shows Promise in Detecting Unexpected Drug Interactions” by Dr.
Tracy Hampton, describes the advantages of data mining which can help to gather information and unexpected drug reactions. The article points out that the issues of unexpected drug interactions are becoming problematic in the United States, especially in the medical field. The approach of using data mining can help not only the patients but also the physicians, because it is difficult to control the drugs reactions when a patient is taking more than two medications at a time. By using different techniques from data mining, they are able to discover an unexpected increase in blood glucose levels when a patient takes more than 2 types of medications. The article also explains different techniques of using data mined to find the reactions of different drugs. However, this article is very helpful for anyone whom are interested in using data mining and taking advantages of it to discover useful and unexpected information. I can use this source to show the benefits of using data mining applications to detect any unexpected drug reactions.
Ismail, Mustapha, et al. “Data Mining in Electronic Commerce: Benefits and Challenges.” International Journal of Communications, Network and System Sciences, vol. 08, no. 12, 28 Dec. 2015, pp. 501–509., doi:10.
4236/ijcns.2015.812045.The article “Data Mining in Electronic Commerce: Benefits and Challenges” by multiple authors from the Cyprus International University, Turkey, describe the benefits of using data mining in modern business. Electronic business is growing significantly all over the world today, data mining plays an important role in improving the services and sales of electronic companies. This article explains how data mining helps to accelerate the sales and gather useful information from customers in order satisfy the customers’ needs. Additionally, the article also explains different methods of collecting data from various sources such as market, venders, and customers’ searches from the internet. The article highlights the important benefits from data mining to the systems of electronic business which help to improve the business models, sales forecasting and sales promotion.
The article also points out some challenges in data mining such as data transformation and data management. Some of the most popular data mining tools are introduced in this article to show the different benefits of each tool can provide. However, this article provides many helpful information about the advantages of data mining and its applications in electronic commerce. As the source explains different advantages of data mining in the electronic business, I can use this source to show how data mining and its applications can help to improve the modern business and its services.
Radosav, Dragica, et al. “Mining Association Rules from Empirical Data in the Domain of Education.” International Journal of Computers Communications & Control, vol.
7, no. 5, 2014, p. 933., doi:10.15837/ijccc.
2012.5.1352. The article “Mining Association Rules from Empirical Data in the Domain of Education” by D. Radosav, E. Brtka, and V.
Brtka describes the benefits of data mining in the teaching and learning environment. The article especially introduces the two systems “CMS” and “DM” that are used to collect and process data to gain valuable information in the e-learning system. The purpose of the article is to show the advantages of data mining in education which can help to improve a better learning environment for students, since the use of internet and e-learning has been increased significantly. There are many different techniques and tools that are used during the mining process. The authors explain different techniques of the process in the “DM” system such as the preprocessing method which is used to verify if the data is clean and ready to be transform into a specified format which then be mined.
Additionally, the article also introduces some other similar systems to show how their applications can help to gather helpful data in the e-learning system. Those systems are “Rosetta” and “Weka” that have been developed by other researchers in other universities. More importantly, by using and applying data mining in the learning environment, it can help the educational system to become modernized and globalized in many ways. However, I can use this source to show the advantages of data mining in the teaching and studying environment.
Takita, Morihito, et al. “Data Mining of Mental Health Issues of Non-Bone Marrow Donor Siblings.” Journal of Clinical Bioinformatics, vol. 1, no. 1, 19 Jan.
2011, p. 19., doi:10.
1186/2043-9113-1-19. The article “Data mining of mental health issues of non-bone marrow donor siblings” by multiple authors from the University of Tokyo, shows the powerful effects and the advantages of data mining in the medical field. Since health care information has been increased dramatically over the past decades, the applications of data mining are being applied into the medical fields to improve the clinical follow-up process and patient treatment plans.
The article demonstrates the advantages of using text data mining to analyze the collected data during each interview or follow-up of patients. The analysis of data will help to suggest any mental issues or stress from the patient. The authors show conceptual differences of data mining approach throughout the article to help the reader understand about how the process is done and how it helps to deliver the most accurate information from text mining. Additionally, the article also provides a realistic situation of a patient whom have developed chronic myeloid leukemia in the past.
The “Scenario Map analysis” is a data mining tool that is introduced in this article and is used to analyze the patient’s conditions and feeling during the interview. This tool can help the clinicians to find any new mental health issues or stress from the patient. However, data mining is becoming more important and effective in the field of medical. With the evidences from source about different advantages in the field of medical, I can use this source to explain the advantages of data mining in the medical field. Tekieh, Mohammad Hossein, and Bijan Raahemi. “Importance of Data Mining in Healthcare.” Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015 – ASONAM 15, 25 Aug. 2015, doi:10.
1145/2808797.2809367.The article “Importance of Data Mining in Healthcare” describe the advantages of data mining and its applications in the healthcare system. The amount of healthcare information has been increasing significantly over the past few decades, many healthcare systems have transformed into electronic systems from paper-based systems in order to effectively manage each individual patient’s information. This article explains how data mining helps the healthcare institutes to collect and transform online information into useful and helpful information. The article also introduces a new framework of data mining which can help to solve the current issues of handling healthcare information when the collected data becomes massive. Different data mining techniques and tools are introduced throughout the article to help the reader understand more about the benefits of data mining in the healthcare systems. The article explains specially some of the special characteristics in data mining which are the most important factors in health data analysis.
The uses of data mining have been applied to the process of clinical decision making which can help the physician to make better and more accurate decision in identifying the symptoms. Additionally, the article also shows the methods of how data mining helps to detect new diseases from different areas and insurance fraud. However, I can use this source to illustrate the advantages of data mining as the health care analysis in the medical field.