DATA MINING AND MACHINE LEARNING This is the assignment questions and please see the excel case dataset that I attached because it is very important to the assignment and it is required Also I uploaded all the lectures it may help Many thanks Contribution: 100%. Report length: 3500 words (excluding references and appendix). Deadline 1st may 2017 References: Use Harvard referencing style and do not use bibliography. If you use other people’s words in your report you must put them in quotation marks and refer to the source. If you use other people’s idea you must acknowledge it and refer to the source. Assignment Requirements: Carry out the following: 1. Discover insight and knowledge from the given case dataset by applying relevant data exploration and data mining techniques. Explain your data analysis processes, discuss and interpret the results in the case context (~2400 words; 70%). 2. Provide a literature review on the association learning. Critically discuss the application of association learning in real business cases. (~1100 words; 30%). Note to the case data: Vessel Name = the name of the container vessel; Speed (Knots) = the average sailing speed in knots; Tonnage (GT) = gross tonnage; Ocean carriers = the vessel operator or alliance; Trade route = the shipping service route that the vessel is deployed; Scheduled arrival time = planned vessel arrival date and time; Actual arrival time = actual vessel arrival date and time; Scheduled departure time = planned vessel departure date and time; Actual departure time = actual vessel departure date and time. EPIC = Europe Pakistan India Consortium service route FAL1 = Far East - Europe service route LP1 = Far East - Europe service route PA1 = North Atlantic service route