Data mining Essay Samples and Topic Ideas

Sometimes you are assigned to write an essay on Data mining. An essay on this topic is an argumentative statement, an answer to a question, or a complete Data mining essay. No matter what kind of homework you have been assigned, we can easily help you complete it! We have 6 free Data mining essay samples in our database, analyze the list of essays and choose the best one for you, you can also order Data mining essay writing help.

Data Mining and its importance Data mining or data mining allows to see patterns, the process and techniques of interest, that way you can understand the large databases in the past, present and future, as well as, to solve those problems as it also authorizes us to manage and manage it. We can reveal data, which we access to take advantage of this complexity of data. They provide an amount of information for which, it helps us a good decision making creating additional knowledge, thus understanding the world. Data mining is part of the KDD process, which is the extraction of knowledge;To meet an objective, the data selection, the procedure, the transformation, the extraction of data or data mining...

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data mining, this allows to visualize the information that generates in a easily. Developing What is Big Data? Big Data (large data volume), is a set of data that has the capacity to capture, storage, management and analysis of database tools. With this tool you can take data from any source and analyze them to find answers that make possible, this can help for cost reduction, time reductions, development of new products and optimized solutions and smart decision making. This definition was introduced with the popularization of this term, which does not describe the specific objective of the term, so this definition has been limited by some terms. Big Data are information assets characterized...

data mining techniques which are core in the healthcare sector. The knowledge based systems can facilitate the consultation process as well as data processing. However, the robotics technology can also play a significant role in the nursing field. The methods can help in the provision of the primary care services to the patients. The systems are time-saving and accurate hence being important in the health sector. The nursing informatics requires adequate intervention from the necessary stakeholders to aid the technology development. The systems should meet the users' needs and should conform to the system heuristic rules. Electronic Health Records Documentation is a crucial nursing domain that...

data mining. NYC is putting legislation in place to take effect in January 2017 and named house bill A10475. Assemblyman Jeffrey Dinowitz who states, “New York's data breach notification law needs to be updated to keep pace with current technology,” commented on the legislation. “This bill broadens the scope of information covered under the notification law and updates the notification requirements when there has been a breach of data.” Jacobi took most of the allotted sixty-day time frame to notify customers of this data breach (Snell, 2016). All hospitals must keep abreast of new advances in cybersecurity to prevent criminals from gaining access to private health information. The hospital...

Data Mining in the Detection of Higher Level Clones in Software Name Institution Data Mining in the Detection of Higher Level Clones in Software This article dwells on code clone which involves similar program structures that have a considerable size as well as significant similarity. According to Basit and Jarzabek (2009), knowing the clone’s location can assist one in comprehending the structure and for maintenance efforts. It is important to remove clones to evade their harmful impacts. Some of the methods that can be used include refactoring, replacing them with function macros and calls, or utilize unconventional metalevel approaches like Aspect-oriented programming and XVCL. Basit and...

Data Mining and Analytics: Proceedings of the 13th Australasian Data Mining Conference (pp. 119-128). Australian Computer Society. Santosh, D. T., Babu, K. S., Prasad, S. D. V., & Vivekananda, A. (2016). Opinion Mining of Online Product Reviews from Traditional LDA Topic Clusters using Feature Ontology Tree and Sentiwordnet. Valencia-García, R., Colomo-Palacios, R., & Alor-Hernández, G. (2016). New Trends in Opinion Mining Technologies in the Industry J. UCS Special Issue. Journal of Universal Computer Science, 22(5), 605-607. Wang, S., Chen, Z., & Liu, B. (2016, April). Mining Aspect-Specific Opinion using a Holistic Lifelong Topic Model. In Proceedings of the 25th International...