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Cancer data, stroke-related deaths, smoking deaths, graduation rates and a wide range of topics could be chosen for analysis.Students could also combine a new data mining technique to show how it would work and compare its effectiveness using one of these topics.
Researchers generally have a lot of knowledge about the possibilities and might even be curious about some things themselves. Your project is expected to use some sort of novel approach.
With that said, I'd suggest that you start by reading up on existing decision tree techniques, learning why they work and what their flaws are, and try to find ways to overcome the flaws.
I am looking for a thesis to complete my master, I am interested in Predictive Analytics in marketing, HR, management or financial subject, using Data Mining Application.
I have found a very interesting subject: "Predicting customer churn using decision tree" or either "Predicting employee turnover using decision tree", I looked around very hard but unfortunately couldn't find any relevant dataset to download (Telecommunication Customer churn Dataset ).
Master Thesis By Aqsa Hameed Department of Computer Science Faculty of Sciences University of Agriculture, Faisalabad, Pakistan 2016 ABSTRACT Data mining is a diagnostic procedure used to investigate substantial measure of information. Many businesses have eagerly adopted these data storing facilities to...
Dissertation Date 2017-04-26 Author: Cabrera, Wellington, Department of Computer Science University of Houston Abstract Large data sets are generally stored on disk following an organization as rows, columns or arrays, with row storage being the most...For an even more unique approach, students can cover ways that current data mining techniques can be improved.Comparing and discussing current techniques is interesting, but finding a way to improve algorithmic, mathematical or other techniques would make a contribution to the current state of the field.Predicting Mood Disorder Risk A Data Blending and Machine Learning Approach MASTER’S THESIS by Alex Klein and Florian Reifschneider A thesis submitted in fulfillment of the requirements for the degree of Master of Science Frankfurt... Carlos Villarraga Fachbereich Elektrotechnik und Informationstechnik der Technischen Universität Kaiserslautern December 7, 2016 Abstract In current practices of system-on-chip (So C) design a trend can be observed to integrate more and more low-level... 2016 In this chapter, our motivations behind writing this book, the raised research questions and the general structure of the book are described. Ph D thesis by: Helen Tadesse Moges (2014), KU LEUVEN 1.1 Importance of data quality The Space Shuttle Challenger broke apart 73 seconds into its flight on Jan- uary 28, 1986 and killed seven astronauts on board. Ph D thesis by: Alex Seret (2015), KU LEUVEN The explosive growth of the amount of available data and the reliance on data mining techniques have led to the creation of a myriad of new business models and...Dissertation Joakim Henrik Urdahl Fachbereich Elektrotechnik und Informationstechnik der Technische Universität Kaiserslautern December, 15 2015 Motivation and Overview Even after years of progress both in simulation-based and formal verification techniques, System- on-Chip (So C) verification... Dissertation Yanpei Chen EECS Department University of California, Berkeley Technical Report No. PDF Large-scale data-centric systems help organizations store, manipulate, and derive value from large volumes of data.... Ph D thesis by: Bart Baesens (2003), KATHOLIEKE UNIVERSITEIT LEUVEN The last decades witnessed a spectacular increase in computer infrastructures and resources to store huge amounts of data.One of the first options is to consider the ways that data mining techniques can be improved.Students must have a strong background in technology if they plan on doing this topic because the techniques can be technologically and intellectually challenging.Then, once you have your improvement, it should be relatively easy to find a dataset to apply it to.I have seen many people asking for help in data mining forums and on other websites about how to choose a good thesis topic in data mining.Research projects involving the collection, management, analysis, and visualization of big data have ample opportunities for participation by students in the Data Science program for their capstone project.With the rise of technology, topics like data mining have been growing increasingly popular in dissertations.