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Thursday, December 25

  1. page home edited ... Lectures Assignments/Projects December 25, 14: Unit # 12 posted. December 9, 14: Unit # 1…
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    Lectures
    Assignments/Projects
    December 25, 14: Unit # 12 posted.
    December 9, 14: Unit # 11 posted.
    November 27, 14: Unit # 10 posted.
    (view changes)
    8:35 am
  2. page Lectures edited ... {Data Mining Unit 11.pdf} 25 12/12/14 Friday Principal Component Analysis 26 19/12/14…
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    {Data Mining Unit 11.pdf}
    25
    12/12/14
    Friday
    Principal Component Analysis
    26

    19/12/14
    Friday
    Introduction to R (+ KNIME Integration)
    27-28
    Principal Component Analysis, Big Data Overview
    {Data Mining Unit 12.pdf}
    26-27

    20/12/14
    Saturday
    (view changes)
    8:33 am

Tuesday, December 9

  1. page home edited ... December 9, 14: Unit # 11 posted. November 27, 14: Unit # 10 posted. November 27, 14: Assig…
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    December 9, 14: Unit # 11 posted.
    November 27, 14: Unit # 10 posted.
    November 27, 14: Assignment # 3 posted (Due Date: 20th December, 2014)
    November 14, 14: Unit # 9 posted.
    November 2, 14: Unit # 8 posted.
    (view changes)
    7:51 am
  2. page home edited ... Lectures Assignments/Projects November December 9, 14: Unit # 11 posted. November 27, 14…
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    Lectures
    Assignments/Projects
    NovemberDecember 9, 14: Unit # 11 posted.
    November
    27, 14:
    ...
    10 posted.
    November 14, 14: Unit # 9 posted.
    November 2, 14: Unit # 8 posted.
    (view changes)
    7:50 am
  3. page Lectures edited ... Saturday Association Rule Mining, Apriori Algorithm, Frequent Itemsets and Rules Generation, …
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    Saturday
    Association Rule Mining, Apriori Algorithm, Frequent Itemsets and Rules Generation, Support, Confidence, Interest and Lift, Handling of Continuous and Categorical Data, min-Apriori, Multi-level Association Rules, KNIME Demo
    {Data Mining Unit 11.pdf}
    25
    5/12/1412/12/14
    Friday
    Principal Component Analysis
    26
    12/12/1419/12/14
    Friday
    Introduction to R (+ KNIME Integration)
    (view changes)
    7:47 am

Thursday, November 27

  1. page Assignments edited Assignment # 3 (Due Date: December 20, 2014) This is a group (max. 3 students) assignment. You ar…
    Assignment # 3 (Due Date: December 20, 2014)
    This is a group (max. 3 students) assignment. You are required to participate in any active Kaggle project of your choice. In case, you are able to get data from your local contacts then you can work on that as well. In addition to presenting your findings in the class, you are also required to submit a report describing the analytics problem and the approach you took to solve it.

    Assignment # 2 (Due Date: November 8, 2014)
    This is a group (max. 3 students) assignment. You are required to participate in the following Kaggle competition
    (view changes)
    7:30 am
  2. page home edited ... Lectures Assignments/Projects November 27, 14: Unit # 10 posted. November 14, 14: ... 9…
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    Lectures
    Assignments/Projects
    November 27, 14: Unit # 10 posted.
    November
    14, 14:
    ...
    9 posted.
    November 2, 14: Unit # 8 posted.
    October 27, 14: Unit # 7 posted.
    (view changes)
    7:08 am
  3. page Lectures edited ... 15/11/14 Saturday Text Analytics Analytics, Part-of-Speech Tagging, Bag of Words, Term Fre…
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    15/11/14
    Saturday
    Text AnalyticsAnalytics, Part-of-Speech Tagging, Bag of Words, Term Frequency, Inverse Document Frequency, TF-IDF
    {Data Mining Unit 10.pdf}

    22/11/14
    Saturday
    ...
    29/11/14
    Saturday
    Association Rule Mining
    25-26
    6/12/14
    Saturday
    13/12/14
    No Class
    Mining, Apriori Algorithm, Frequent Itemsets and Rules Generation, Support, Confidence, Interest and Lift, Handling of Continuous and Categorical Data, min-Apriori, Multi-level Association Rules, KNIME Demo
    25
    5/12/14
    Friday
    Principal Component Analysis
    26
    12/12/14
    Friday
    Introduction to R (+ KNIME Integration)

    27-28
    20/12/14
    (view changes)
    7:07 am

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