X
X
X

X
Swayam Central

Data Mining

By Prof. Pabitra Mitra   |   IIT Kharagpur
Data mining is study of algorithms for finding patterns in large data sets. It is an integral part of modern industry, where data from its operations and customers are mined for gaining business insight. It is also important in modern scientific endeavors. Data mining is an interdisciplinary topic involving, databases, machine learning and algorithms. The course will cover the fundamentals of data mining. It will explain the basic algorithms like data preprocessing, association rules, classification, clustering, sequence mining and visualization. It will also explain implementations in open source software. Finally, case studies on industrial problems will be demonstrated.

INTENDED AUDIENCE  : Any engineering discipline and mathematics,Physics.
PREREQUISITES  : Nil
INDUSTRY SUPPORT : TCS
Infosys
CTS
Accenture

Learners enrolled: 2377

SUMMARY

Course Status : Upcoming
Course Type : Elective
Duration : 8 weeks
Start Date : 24 Feb 2020
End Date : 17 Apr 2020
Exam Date : 25 Apr 2020
Enrollment Ends : 24 Feb 2020
Category :
  • Computer Science and Engineering
  • Level : Undergraduate
    This is an AICTE approved FDP course

    COURSE LAYOUT

    Week 1: Introduction, Data Preprocessing 

    Week 2: Association Rule Mining, Classification Basics
      
    Week 3: Decision Tree, Bayes Classifier, K nearest neighbor 

    Week 4:Support Vector Machine, Kernel Machine 

    Week 5: Clustering, Outlier detection 

    Week 6: Sequence mining 

    Week 7: Evaluation, Visualization. 

    Week 8: Case studies 

    BOOKS AND REFERENCES

    1. Introduction to Data Mining, Tan, Steinbach and Vipin Kumar, Pearson Education, 2016 
    2. Data Mining: Concepts and Techniques, Pei, Han and Kamber, Elsevier, 2011 

    INSTRUCTOR BIO

    Prof. Pabitra Mitra

    IIT Kharagpur
    Pabitra Mitra is an Associate Professor of Computer Science and Engineering at Indian Institute of Technology Kharagpur. He did his BTech in Electrical Engineering from IIT Kharagpur and PhD from ISI Calcutta. He was a Scientist at Centre for Artificial Intelligence and Robotics, Bangalore and an Assistant Professor at IIT Kanpur. He received the INAE Young engineer Award, IBM Faculty Award and Yahoo Faculty Award. He has authored a book on Data mining and about 50 papers in international journals.

    COURSE CERTIFICATE

    • The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
    • The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
    • Date and Time of Exams: 25th April 2020, Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
    • Registration url: Announcements will be made when the registration form is open for registrations.
    • The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
    • Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.

    CRITERIA TO GET A CERTIFICATE:
    • Average assignment score = 25% of average of best 6 assignments out of the total 8 assignments
     given in the course. 
    • Exam score = 75% of the proctored certification exam score out of 100
    • Final score = Average assignment score + Exam score

    YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. 
    • If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
    • Certificate will have your name, photograph and the score in the final exam with the breakup.It will have the logos of NPTEL and IIT Kharagpur. It will be e-verifiable at nptel.ac.in/noc.
    • Only the e-certificate will be made available. Hard copies will not be dispatched.

    DOWNLOAD APP

    FOLLOW US