1 / 14

Intelligent Data Mining to Verify IKM Curriculum

This project aims to evaluate and improve the IKM curriculum through the application of intelligent data mining techniques. Leveraging R for text mining, we analyze current job postings and technical market trends to derive high-quality information relevant to the ISAT department. By examining the frequency and appearance of keywords, we suggest curriculum enhancements that align with evolving job criteria. Our findings highlight the importance of integrating modern programming languages, web technologies, and database skills into the curriculum while ensuring compatibility and relevance for students and faculty alike.

cade-foley
Download Presentation

Intelligent Data Mining to Verify IKM Curriculum

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. IntelligentDataMining to Verify IKM Curriculum ISAT/CS 344 – Intelligent Systems Patrick Knowlan Mark Ostrander Chris Jackson Rob Katich

  2. Introduction • What is the current IKM curriculum? • Current technical market • Constantly changing, Recruit-A-Duke job postings • IS to search job criteria • Derive high-quality information from text. • Appearance and frequency of key words • Reference with technical/functional descriptions to reevaluate IKM course

  3. Background/ Purpose • Text Mining using R • Search technology • Compare and contrasts short text strings • Define a relationship • Looks for frequent key words • Adjust IKM curriculum

  4. Size and Scope • Mine data to make useful for faculty and students of the ISAT department • Future curriculums for the IKM concentration • Possibly other curriculums

  5. Specifications • The R Project – statistical computing • Multiple packages • tm library • NLP • Depends on eight additional packages for functionality • Text mining to analyze recruitment data

  6. Methodology • Text mining using R • Create readable file (.csv MS-DOS) • Create a corpus • Format and filter text • Search frequency of key words • Create dictionaries of appropriate terms • Compare and contrast searches • Make suggestion based on results

  7. Discoveries • Capabilities • Reduces time • Organization & formatting • Frequency analysis • Term grouping / association • Limitations • Program compatibility • Mac vs. PC • Search capabilities • “C++” “C#”

  8. Demonstration IKM Curriculum

  9. Results

  10. Results

  11. Results

  12. Results

  13. Conclusions • Summary • VB is OUT • JAVA is IN • Stress web technology • Web application development • Database skills • Oracle • Microsoft Office necessity • Unix systems • Business technology classes

  14. Questions?

More Related