Advanced Data Mining Algorithms and their Scalability for Big Data

January 2-7, 2017

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Registration Date is extended upto 30 December,2016

Tentative Schedule

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Hall-3 CC Lab

Important Information

  • Registration Fee (Participants from Academia): Rs 2000/- (course material + lunch inclusive)
  • Fee for Participants from Industry will be based on the level of course.
  • Accomodation Charges(if needed): Rs 2000/- (including breakfast + dinner)
  • Participants will be receiving "Certificate of Participation" at the end of the programme
  • The demand draft of requisite fee in favor of “IIITDMJ-E&ICT ACADEMY” payable at Jabalpur. Registration fee can also be paid to account No. 50302042708 (Allahabad Bank, Mehgawan, IIITDM Branch, IFSC Code: ALLA0212433) by CASH/NET BANKING/NEFT.

Overview: This course aims to introduce advanced data mining algorithms to students who have some knowledge about basic data mining algorithms. Advanced classification and clustering algorithms are presented and analyzed. The data type of graphs is introduced and various mining tasks with graph data are presented and analyzed. Scalability of some data mining algorithms and some graph processing algorithms using the MapReduce paradigm for Hadoop environments is presented and analyzed.

Objectives: The main objectives of this course are to impart knowledge and understanding of the following topics to the participants:

  1. Advanced concepts of classification algorithms using the ideas of perceptrons and support vector machines.
  2. Hierarchical clustering algorithms and density based clustering algorithms.
  3. Map-Reduce based algorithmic formulations for association rule mining, decision tree induction, and graph processing.

Every session will be followed by lab and practice assignments. Kindly visit course webpage for detailed course contents.

Resource Person:
Prof. Raj Bhatnagar Detailed CV

Raj K Bhatnagar
Professor of Computer Science
Department of Electrical Engineering and Computing Systems
University of Cincinnati, Cincinnati, OH 45221, USA
+1 (513) 556-4932
Prof. Raj Bhatnagar is Professor of Computer Science at University of Cincinnati, Ohio, USA. His area of research is data mining and pattern recognition and he has worked on problems in this research area for more than twenty five years. His research projects have been funded by NSF, US Air Force, US DARPA, and a number of Industrial sponsors. He has supervised graduate students for eleven Ph.D. dissertations and seventy M.S. theses. His recent research projects include design of mining and analysis algorithms for Big Data situations in Biomedical, Manufacturing, GIS, and Security applications. These problems have involved various types of structured and unstructured data. He has published more than eighty peer-reviewed publications. He has designed and taught graduate level classes on the topics of Data Mining, Big Data Analysis, and Artificial Intelligence. He recently published three papers in the IEEE International conference on Big Data (Oct 2015) and delivered a 3.5 hours tutorial on Design of Analytics Algorithms for Big Data at the Big Data Analytics 2015 (BDA2015) conference held in Hyderabad in December 2015.

Mr. Yogendra Singh
IT & System Administrator
Computer Center

Course Coordinators:
Dr. Pritee Khanna
Associate Professor, Computer Science and Engineering
phone: +91761 2794222 (O), +919425324241 (M)

Dr. Sraban Kumar Mohanty
Assistant Professor, Computer Science and Engineering
phone: +91761 2794224 (O), +919425807609 (M)

Contact us:
For course related queries kindly write to:
The Course Coordinators
Data Mining Algorithms and their Scalability for Big Data