{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

dm1 - University of Florida CISE department Gator...

Info icon This preview shows pages 1–12. Sign up to view the full content.

View Full Document Right Arrow Icon
University of Florida CISE department Gator Engineering Introduction to Data Mining Dr. Sanjay Ranka Professor Computer and Information Science and Engineering University of Florida, Gainesville [email protected]
Image of page 1

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Course Overview • Introduction to Data Mining • Important data mining primitives: – Classification – Clustering – Association Rules – Sequential Rules – Anomaly Detection • Commercial and Scientific Applications
Image of page 2
University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 • Background required: – General background in algorithms and programming • Grading scheme: – 4 to 6 home works (10%) – 3 in-class exams ( 30% each ) – Last exam may be replaced by a project • Textbook: Introduction to Data Mining by Pang-Ning Tan, Michael Steinbach, and Vipin Kumar, 2003 Data Mining: Concepts and Techniques by Jiawei Han and Micheline Kamber, 2000
Image of page 3

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Data Mining I C Q 10 a 2 22 a 3 33 b 4 44 b 2 55 b 1 Selection Cleaning Transformation I C Q 10 a 2 22 a 3 33 b 4 44 b 2 55 b 1 Mining Interpretation/ Optimizing Processes Non trivial extraction of nuggets from large amounts of data
Image of page 4
University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Data Mining is not … Generating multidimensional cubes of a relational table Source: Multidimensional OLAP vs. Relational OLAP by Colin White
Image of page 5

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Data Mining is not … Searching for a phone number in a phone book Searching for keywords on Google
Image of page 6
University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Data Mining is not … Generating a histogram of salaries for different age groups Issuing SQL query to a database, and reading the reply
Image of page 7

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Data Mining is … Finding groups of people with similar hobbies Are chances of getting cancer higher if you live near a power line?
Image of page 8
University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Data Mining Tasks • Prediction methods – Use some variables to predict unknown or future values of the same or other variables • Description methods – Find human interpretable patterns that describe data From Fayyad, et al., Advances in Knowledge Discovery and Data Mining, 1996
Image of page 9

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Important Data Mining Primitives Milk Data
Image of page 10
University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Data Mining Tasks … • Classification (predictive) • Clustering (descriptive) • Association Rule Discovery (descriptive) • Sequential Pattern Discovery (descriptive) • Regression (predictive)
Image of page 11

Info icon This preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon
Image of page 12
This is the end of the preview. Sign up to access the rest of the document.

{[ snackBarMessage ]}

What students are saying

  • Left Quote Icon

    As a current student on this bumpy collegiate pathway, I stumbled upon Course Hero, where I can find study resources for nearly all my courses, get online help from tutors 24/7, and even share my old projects, papers, and lecture notes with other students.

    Student Picture

    Kiran Temple University Fox School of Business ‘17, Course Hero Intern

  • Left Quote Icon

    I cannot even describe how much Course Hero helped me this summer. It’s truly become something I can always rely on and help me. In the end, I was not only able to survive summer classes, but I was able to thrive thanks to Course Hero.

    Student Picture

    Dana University of Pennsylvania ‘17, Course Hero Intern

  • Left Quote Icon

    The ability to access any university’s resources through Course Hero proved invaluable in my case. I was behind on Tulane coursework and actually used UCLA’s materials to help me move forward and get everything together on time.

    Student Picture

    Jill Tulane University ‘16, Course Hero Intern