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Friday, December 27

  1. page home edited ... Lectures Assignments/Projects Dec 27, 2013: Unit # 19 posted on the wiki Dec 27, 2013: Uni…
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    Lectures
    Assignments/Projects
    Dec 27, 2013: Unit # 19 posted on the wiki
    Dec 27, 2013: Unit # 18 posted on the wiki

    Dec 18, 2013: Unit # 17 posted on the wiki
    Dec 18, 2013: Unit # 16 posted on the wiki
    (view changes)
    4:25 am
  2. page lectures edited ... 26/12/2013 Thursday Overview of Big Data {Data Mining Unit 19.pdf} 27 31/12/2013
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    26/12/2013
    Thursday
    Overview of Big Data
    {Data Mining Unit 19.pdf}

    27
    31/12/2013
    (view changes)
    4:24 am
  3. page lectures edited ... Sunday Covariance Matrix, Eigenvalues and Eigenvectors, Principal Component Analysis, R and K…
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    Sunday
    Covariance Matrix, Eigenvalues and Eigenvectors, Principal Component Analysis, R and KNIME implementation of PCA, Guest Lecture by Mr. Nauman Sheikh
    {Data Mining Unit 18.pdf}
    25
    19/12/2013
    Thursday
    Unit # 18 (Cont'd), Introduction to R Programming
    26
    26/12/2013
    (view changes)
    4:09 am

Wednesday, December 18

  1. page home edited ... Dec 18, 2013: Unit # 16 posted on the wiki Dec 18, 2013: Unit # 15 posted on the wiki Dec 7…
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    Dec 18, 2013: Unit # 16 posted on the wiki
    Dec 18, 2013: Unit # 15 posted on the wiki
    Dec 7, 2013: Project 2 Deadline: Dec 31, 2013)
    Dec 7, 2013: Unit # 14 posted on the wiki
    Nov 21, 2013: Unit # 13 posted on the wiki
    (view changes)
    5:22 am
  2. page Assignments edited Project # 2 ... 31st December, 2012) 2013) You are required to analyze a real world data min…
    Project # 2
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    31st December, 2012)2013)
    You are required to analyze a real world data mining problem using techniques studied in this course. The problem can be related to banks, hospitals, cinemas, restaurants, super-stores, academic institutions, etc. In case you can't find data on your own then you can pick any competition of interest from the following website
    http://www.kaggle.com/
    (view changes)
    5:21 am
  3. page Assignments edited Project # 2 (Due Date: 31st December, 2012) You are required to analyze a real world data mining…
    Project # 2
    (Due Date: 31st December, 2012)
    You are required to analyze a real world data mining problem using techniques studied in this course. The problem can be related to banks, hospitals, cinemas, restaurants, super-stores, academic institutions, etc. In case you can't find data on your own then you can pick any competition of interest from the following website
    http://www.kaggle.com/
    The website lists several projects posted by real companies who also pay a cash reward to the best solution of their problem. The projects' deadline (posted on Kaggle) may be different but you need to make sure that you submit your Project # 2 to me by 31st of December.
    In addition to submitting a comprehensive report describing your analysis, you would be required a detailed presentation (10-15 mins.) on the problem you chose, the nature of data and how you cleaned/prepared it, and your findings. The presentations will be held on the 31st of December, 2013 and 2nd of January, 2014 but you are required to submit your report by 31st December (noon time).
    As is the case with Project 1, it is a group-based project (max 3 person) but if you want to do it alone then it's fine as well. The report will be submitted via turnitin and the zero-tolerance policy of IBA towards plagiarism is applicable in this case. Any two reports found similar would result in a straight F for both groups and further action would be decided by the Examination department.

    Project # 1
    (Due Date: 12 PM on November 21, 2013)
    (view changes)
    5:20 am
  4. page home edited ... Lectures Assignments/Projects Dec 18, 2013: Unit # 17 posted on the wiki Dec 18, 2013: Uni…
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    Lectures
    Assignments/Projects
    Dec 18, 2013: Unit # 17 posted on the wiki
    Dec 18, 2013: Unit # 16 posted on the wiki
    Dec 18, 2013: Unit # 15 posted on the wiki
    Dec 7, 2013: Unit # 14 posted on the wiki

    Nov 21, 2013: Unit # 13 posted on the wiki
    Nov 21, 2013: Unit # 12 posted on the wiki
    (view changes)
    5:17 am
  5. page lectures edited ... 5/12/2013 Thursday Association Rule Mining, Apriori Algorithm, Frequent Itemsets and Rules …
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    5/12/2013
    Thursday
    Association Rule Mining, Apriori Algorithm, Frequent Itemsets and Rules Generation, Support, Confidence, Interest and Lift
    {Data Mining Unit 15.pdf}
    21
    10/12/2013
    Tuesday
    KNIME Demo, Handling of Continuous and Categorical Data, min-Apriori, Multi-level Association Rules, Discussion on Case Studies (from Implementing Analytics, Chapter 3)
    {Data Mining Unit 16.pdf}
    22
    12/12/2013
    Thursday
    Text Mining, KNIME Demo
    {Data Mining Unit 17.pdf}
    23-24
    15/12/2013
    Sunday
    PCA,Covariance Matrix, Eigenvalues and Eigenvectors, Principal Component Analysis, R and KNIME implementation of PCA, Guest Lecture
    25
    19/12/2013
    (view changes)
    5:15 am

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