Survey Paper
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Topic 1 : Data Mining Analysis and Prediction 

Week 1: March 12- 18

Went into more detail on the annotated bibliographies, organized the order in which would will help my paper and best fit the flow of ideas.

Week 2:   March 19 – 25

Looked into what the data mining tools and application that are mentioned in the papers. Checked if they could fall within the scope of the work that I want to do. Created the overall outline for my paper including how the major topics and methodology would progress. Created the workflow diagram and looked at other previously done Survey paper. Latex seems like a good tool to use in addition to Zotero to create templates.

Watched some TED talk videos on the topic:

Aaron Koblin: Visualizing ourselves … with crowd-sourced data

Hans Rosling: The best stats you’ve ever seen

Mathias Lundø Nielsen :How to Monetize Big Data

Week 3: March 26 – 31

Started connecting major topics in terms of how they fit the block structures for my paper and compiled paragraphs on some topics. Looked into other previously done works mentioned in the papers regarding Data Mining and the tools used in those research.

 

Week 4: April 1- 7 

Building on the outline and creating diagrams mentioned. Mostly going through papers to build on the brief few sentences mentioned for each topic.

Week 5: April 7 – 14

Worked on the second draft. Added more content to the paper, removed a couple of subtopic.

Week 6: April 14 -21 

Finished up the survey paper with all necessary topics and figures and diagrams as well as the conclusion.

Survey Paper
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Week 1 (3/29):

  1. I have found a reasonable amount of papers to read.
  2. I have refined the topic. The previous topic was about analyzing and find the relationship between weather pattern and oil stock price. I have decided to broaden the topic to find the relationship between two general entities (so not just weather pattern and oil stock price) by developing an algorithm for similarity scoring and matching.
  3. I have a basic outline for the survey paper jotted down.

Week 2 (4/5):

  1. A lot of readings, especially about SVM (Support Vector Machine)
  2. Work on adding some more text in the introduction part
  3. Read, read, and read.
  4. Explore the term artificial neural networks, etc.

Week 3 (4/12):

  1. Read about different approach to pattern matching problem in other area of study (BLAST, etc.)
  2. Read about AI neural networks, it’s confusing.
  3. Start adding meat to the outline of the survey paper.

Week 4 (4/19):

  1. Watch the MIT’s Opencourseware Intro to AI
  2. Modular Neural Network – Reading
  3. SVM readings

Week 5 (4/26):

  1. Continue the course
  2. Re-learn calculus