MITS5509 Intelligent Systems for Analytics Assignment 1 and 2 Presentation and Research Report MITS5509 Assignment 1 and 2 Copyright © XXXXXXXXXXVIT, All Rights Reserved. 2 NOTE: This Document is used...

1 answer below »
i need the ppt by 17th morning


MITS5509 Intelligent Systems for Analytics Assignment 1 and 2 Presentation and Research Report MITS5509 Assignment 1 and 2 Copyright © 2015-2019 VIT, All Rights Reserved. 2 NOTE: This Document is used in conjunction with Assessment 1 [Presentation & participation] and Assessment 2 [Research Report] in the Teaching and Assessment Plan document [MITS5509_Teaching and Assessment Plan.doc] Objective(s) This assessment item relates to the unit learning outcomes as in the unit descriptor. This assessment is designed to improve student presentation skills and to give students experience in researching a topic and writing a report relevant to the Unit of Study subject matter. INSTRUCTIONS These instructions apply to both Assignment 1 - Presentation and Assignment 2 Research Report. Assignment 1 - Presentation and Participation - 10% (Sessions 5-12) Individual Assignment For this component you will be required to do a 5-10 minute presentation on a recent academic paper on a topic related to Intelligent Systems for Analytics or Intelligent Systems. Some possible topic areas include but are not limited to: • Intelligent Systems for Data Warehouse systems • Evolving Intelligent Systems: Methods, Learning, & Applications • Distance Metric Learning in Intelligent Systems • Intelligent Systems for Socially Aware Computing • Data Mining techniques with IS • frameworks for integrating AI and data mining • Expert System • Structure of knowledge Engineering • IS and Support Vector Machines • IS and Neural Network Architectures • Heuristic Search Methods • Genetic Algorithms and Developing GA Applications The paper you select must be directly relevant to one of the above topics or another topic and be related to Intelligent Systems for Analytics. The paper must be approved by your lecturer and be related to what we are studying this semester in Intelligent Systems for Analytics. The paper MITS5509 Assignment 1 and 2 Copyright © 2015-2019 VIT, All Rights Reserved. 3 can be from any academic conference or other relevant Journal or online sources such as Google Scholar, Academic department repositories, or a significant commercial company involved in research such as IBM etc. All students must select a different paper. Thus, the paper must be approved by your lecturer before proceeding. In case two students are wanting to present on the same paper, the first who emails the lecturer with their choice will be allocated that paper. Please note that popular magazine or web-site articles are not academic papers. A grade of 10% of the Units mark will be awarded for your presentation and your participation in other student presentations. You are to prepare a set of powerpoint slides for your presentation. If you do not participate in at least 70% of other student’s presentations you will forfeit a significant proportion of the marks for this component. Note: if class numbers are large the presentations may be organized into groups, but students will still all need to select their own individual paper for assignment 2. In the case where presentations are arranged in groups each group can decide which students paper will be used for the presentation. The presentations will occur in sessions 5-12 on the academic calendar for the semester and the order of presentations will be by arrangement, but these will be evenly spread over those sessions. What to Submit. There is no submission for this component, you are allocated marks based on your presentation and participation Assignment 2 - Research Report - 10% (Due Session 8) Individual Assignment For this component you will write a report or critique on the paper you chose from Assignment 1, the Presentation and Participation component above. Your report should be limited to approx. 1500 words (not including references). Use 1.5 spacing with a 12 point Times New Roman font. Though your paper will largely be based on the chosen article, you should use other sources to support your discussion or the chosen papers premises. Citation of sources is mandatory and must be in the IEEE style. Your report or critique must include: MITS5509 Assignment 1 and 2 Copyright © 2015-2019 VIT, All Rights Reserved. 4 Title Page: The title of the assessment, the name of the paper you are reporting on and its authors, and your name and student ID. Introduction: Identification of the paper you are critiquing/ reviewing, a statement of the purpose for your report and a brief outline of how you will discuss the selected article (one or two paragraphs). Body of Report: Describe the intention and content of the article. If it is a research report, discuss the research method (survey, case study, observation, experiment, or other method) and findings. Comment on problems or issues highlighted by the authors. Report on results discussed and discuss the conclusions of the article and how they are relevant to the topics of this Unit of Study. Conclusion: A summary of the points you have made in the body of the paper. The conclusion should not introduce any ‘new’ material that was not discussed in the body of the paper. (One or two paragraphs) References: A list of sources used in your text. They should be listed alphabetically by (first) author’s family name. Follow the IEEE style. The footer must include your name, student ID, and page number. Note: reports submitted on papers which are not approved or not the approved paper registered for the student will not be graded and attract a zero (0) grade. What to Submit Submit your report to the Moodle drop-box for Assignment 2. Note that this will be a turn-it-in drop box and as such you will be provided with a similarity score. This will be taken into account when grading the assignment. Note that incidents of plagiarism will be penalized. If your similarity score is high you can re-submit your report, but re- submissions are only allowed up to the due date. If you submit your assignment after the due date and time re-submissions will not be allowed. Please Note: All work is due by the due date and time. Late submissions will be penalized MITS5509 Assignment 1 and 2 Copyright © 2015-2019 VIT, All Rights Reserved. 5 at the rate of 10% per day including weekends.
Answered Same DayApr 14, 2021MITS5509

Answer To: MITS5509 Intelligent Systems for Analytics Assignment 1 and 2 Presentation and Research Report...

Vignesh answered on Apr 16 2021
155 Votes
DATA MINING WITH INTELLIGENT SYSTEMS
INTRODUCTION
Due to the development of the technology more data has been generated so they should be stored and manipulated for proceeding further process. Here data mining concepts are used for extracting the data and patterns from vast data. This process is known as data analysis
or pattern analysis.
We all know that data is the new oil in this era. There are petabytes of data moving from one place to another place in the world. It has become a place for one demand access. The data can be moved from all over the globe. This is very useful for small scale industries to large companies. Entire industries that are in the 20th century are based on data and the computer. These computers are involved in generating the data or processing the data or predicting and analysis of future work (Madni, Anwar and Shah 2017).
figure 1. Data mining process
Data mining is used to perform the logical process to get useful data. The motive of data mining is to identify the patterns. After identifying the pattern it is used for making a decision and developing the business. To perform the identification of pattern, Exploration, pattern identification and deploying the exploration steps are carried out. In exploration, the data will be cleaned and converted into the other form and its nature will be identified. In pattern identification, the data will be refined and identify the pattern. In deployment, the identified pattern will be deployed to achieve the desired output. Techniques and algorithms such as classification, regression, clustering, artificial intelligence are used to perform the pattern analysis (Liao, Chu and Hsiao 2012).
Data mining places a key part in storing and processing the data because numerous numbers od data types have been generated through different kinds of applications. These data might be structured, semi-structured or unstructured to find the data or the result. This data is very difficult and it will be impossible for a human to sit and work out all the combinations. Also, the result will not be accurate because data keeps on changing if we develop an application that generates dynamic data. It will be hard for the application or the server to respond to the client's request. Thus building an intelligent system might useful for people to solve the problems which are created by the people. An intelligent system is built for a specific problem in real-time applications. For achieving efficiency we are using the techniques, tools, process and application in data mining to make the system intelligence.
There are many methods of classification and prediction, so handling a large amount of data will be difficult to handle . some of the cases where we can gather a large amount of data but the training of the data is limited because the tool or the application is not programmed to process the data or accept the data which are apart from the programmed data types . While constructing the model we should consider the most accurate classifier so make the model more universal. The do so we can use some of the computing power with the help of machine learning and Artificial intelligence and other data mining techniques...
SOLUTION.PDF

Answer To This Question Is Available To Download

Related Questions & Answers

More Questions »

Submit New Assignment

Copy and Paste Your Assignment Here