Data Mining Process for Jen Airline- myassignmenthelp.com

Question: Discuss about theData Mining Process for Jen Airline. Answer: Introduction: The Jet Airlines established themselves as the biggest airline company at Singapore. Their HR manager engaged the department of analytics for understanding the profile of the employees who left the organization. The following study demonstrates the stages of data modeling. This includes pre-modelling, modelling and the post-modelling. Pre-modelling stage: The pre-modelling stage of data mining includes the data preparation. The domain experts create the data models for modeling processes. The data are collected, cleansed and formatted by them. This is because some of the functions of mining accept the data in a particular format. They further build latest derived attributes like the average value (Wu et al., 2014). The potential business problems arising in the pre-modelling phase is that the data get tweaked various times with no estimated order. The preparation of data is done by the modeling tools through selecting the attributes, records and selecting tables. However the meaning of the data does not get changed. One of the queries faced by Jet Airline has been how to manage the large quantity of data available into sensible structures. They are in the dilemma to break the huge heterogeneous population into lesser homogeneous groups (Gupta, 2014). Modelling phase: The experts have been selecting and applying numerous mining activities. This is because the various functions could be used for the same kind of data mining issues. Few mining activities need particular data types (Pea-Ayala, 2014). In this phase there is the often exchanging with the domain experts from the pre-modelling phase is needed. This phase with the post-modelling phase is coupled. They have been repeated various times for changing parameters till the optimal values gets reached. As the ultimate modeling phase is finished, the high quality model is built. As the data is already in a perfect shape, Jet Airlines might search for the helpful patterns in their data. The modeling phase comprise of four jobs. They are the selection of modeling techniques, designing the tests, the building of models and the assessing of the models. Post modeling phase: This includes the evaluation of the model. This is done by the data mining experts. As they model gets unable to satisfy the demand, they return to the previous phase. Then they again create the model by altering the parameters. This is done toll the optimal values are gained. As they get satisfied with the model ultimately, Jet Airlines could retrieve the explanations of the business. Next they need to evaluate some queries. The first one is whether the model has been achieving the business objective. The next one is have Jet Airlines considered all the issues in their business (Hofmann Klinkenberg, 2013). As this phase ends, the experts take decision regarding how to utilize the outcomes of data mining. Conclusion: As Jet Airlines gets comfortable with the data-mining career, they would clearly understand how to search for the model parameters. They must be further aware of how to use it. These options would vary broadly with the kind of model and the particular tool they have been using. References: Gupta, G. K. (2014).Introduction to data mining with case studies. PHI Learning Pvt. Ltd.. Hofmann, M., Klinkenberg, R. (Eds.). (2013).RapidMiner: Data mining use cases and business analytics applications. CRC Press. Pea-Ayala, A. (2014). Educational data mining: A survey and a data mining-based analysis of recent works.Expert systems with applications,41(4), 1432-1462. Wu, X., Zhu, X., Wu, G. Q., Ding, W. (2014). Data mining with big data.IEEE transactions on knowledge and data engineering,26(1), 97-107.