dm1 - University of Florida CISE department Gator...

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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 ranka@cise.ufl.edu
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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
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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
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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
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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
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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
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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
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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?
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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
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University of Florida CISE department Gator Engineering Data Mining Sanjay Ranka Spring 2011 Important Data Mining Primitives Milk Data
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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) • Deviation Detection (predictive)
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This note was uploaded on 11/13/2011 for the course CIS 4930 taught by Professor Staff during the Spring '08 term at University of Florida.

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dm1 - University of Florida CISE department Gator...

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