Data & Web Mining CA1.
Added on - 13 Sep 2019
Data & Web Mining CA1INDIVIDUAL ASSIGNMENT: Literature ReviewFor the purpose of this report, you are expected to carry out research to produce a Literature Reviewsomehow related to one of the following topics: Data mining and Knowledge Discovery Mining Data Techniques and ApplicationsThis assignment should focus on particular aspects of your chosen topic and provide an in-depth reviewof these particular aspects. Some example topics of interest include, but are not limited to:Models and characteristics of state of the art Data Mining applications – are there certainframeworks, toolkits, languages etc. that result in more successful Data Mining results?Data Mining activities in social media.Text & Web miningData Mining in Financial Analysis.Data Mining in Retail Industry.Data Mining in Telecommunication Industry.Data Mining in Biological Analysis.Other Scientific Applications.Intrusion Detection.Development of Machine Learning algorithms to handle Big DataEthical considerations regarding Data Mining vis-a-vis data protection and data privacyMethods of data mining for specific domains / problem areas / use casesAny data mining method not covered in the course: e.g. neural networks, random forests,clustering methods other than k-means, etc.Your paper should include:An overview of the topic you have chosenIndividual sections for each of the key themesConclusions you have drawn based on your researchThe paper should be of 3000 words - approx 6 PAGES (not including Cover Page, Table ofContent & Bibliography) in length and should have the following characteristics:− 12pt font / Arial / Normal Line Spacing− Harvard Style Referencing− Images, charts, quotations, etc. should make upNO MOREthan 25% of the contentsYou should draw on appropriate academic literature for your review. Tools like Google Scholar or NCIlibrary will be of key value to achieve this.