Computer Science: Data Mining

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Data mining is an analytic process of exploring huge amount of data, extract useful information, finding consistent patterns and trends between variables, and build predictive computer models from the relationship discovered using a combination of classical statistics, machine learning and artificial intelligence. The findings are then applied to new subsets of data to test its validity. It performs two essential tasks, descripting and predicting. Descriptive mining tasks characterize the general properties of the data in database. Predictive mining tasks perform inference on the current data in order to make predictions. It involves classifications of data which is to identify patterns to be put into known classes, mining association between sets of data items, and clustering similar groups in the data. This is followed by mining sequential pattern, for example, event A will be immediately followed by event B, deviation detection, which is to determine significant changes in the data, followed by data visualization, a graphical methods to show patterns in data.
Data mining in healthcare is not a new idea, the technique was discovered by William Farr (1807-1883), a British epidemiologist and pioneer in the field of medical statistics. His major contribution was to find the link of the causes of death and professions. Similarly, John Snow (1813-1858), a London physician, has also applied statistical analysis to prove true cause of Cholera outbreak.
Healthcare industry today generates large amounts of complex data about patients, hospitals resources, disease diagnosis, electronic patient records, and medical devices. These massive amounts of data has been organizes intensively and extensively by utilizing the methodology and technol...

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Keiko A Herrick, F. H. (2013). A global model of avian influenza prediction in wild birds: the importance of northern regions. Veterinary Research.
Nagabhushanam D, N. N. (Oct - Dec 2013). Prediction of Tuberculosis Using Data Mining Techniques on Indian Patient’s Data. International Journal of Computer Science and Telecommunications.
Nauert, R. (2014, Jan 21). Data Mining Google May Help Predict Disease Outbreaks. Retrieved May 21, 2014, from http://psychcentral.com/news/2014/01/21/data-mining-google-may-help-predict-disease-outbreaks/64812.html
Shasha Li, Y. Z. (2008, Dec 5). Application of Data Mining in Research of Avian Influenza Virus Cross-Species Infection. 2011 IEEE Seventh International Conference on eScience.
What Is Data Mining? (2005). Retrieved May 21, 2014, from http://docs.oracle.com/cd/B28359_01/datamine.111/b28129/process.htm#CHDEFGIE

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