Data Mining Laboratory

 

Research

  • Dimension reduction techniques to handle multi-dimensional data

  • Practical Machine Learning Tools and Techniques

  • Dimension reduction techniques to handle multi-dimensional data

  • Scalable algorithms for classification and clustering

  • Bayesian Networks

 

Lab Setup


Experimental Setup


Clubs 3 Name



  

  

 

  • Hardware:High-end computersHigh-end Color PrintersVideo Camera

  • MATLABMATLAB (MATRIX LABORATORY) the high-performance language for technical computing. We have the compilers, plus toolboxes for image processing, optimization, signal processing, simulink, state flow, wavelets, and control.


  • Health Monitoring and Fault Diagnosis of Air Compressors and Motors component under the head Passive and Active RFID and Location Technology Research.Funded by The BOEING Company. USA

  • Spatiotemporal Data Based Fuzzy Video Model for Future Image Frame GenerationFunded by IIT Kanpur, India


  • Nishchal K. Verma and M. Hanmandlu, Adaptive non-additive generalized fuzzy systems, Elsevier Applied Soft Computing

  • Nishchal K. Verma and M. Hanmandlu, Additive and non-additive fuzzy Hidden Markov Models, IEEE Trans. Fuzzy Systems

  • Nishchal K. Verma, Pooja Agrawal and Yan Cui, Fuzzy Rule Based Unsupervised Approach for Gene Saliency, BMC Bioinformatics

  • Nishchal K. Verma and M. Hanmandlu, From Gaussian mixture model to non-additive fuzzy systems, IEEE Trans. Fuzzy Systems, Vol. 15, No. 5, Oct. 2007, pp 809-827.

  • Nishchal K. Verma, Doctoral Thesis on Gaussian Mixture Model based Non-additive Fuzzy Systems, IEEE Computational Intelligence Soc. Electronic Letter, Section 4.1, Issue 37, November 2007.

  • Nishchal K. Verma and M. Hanmandlu, Color segmentation via. Improved mountain clustering technique, International Journal of Image and Graphics, Vol.7, No. 2, April 2007, pp. 407-426.

  • Nishchal K. Verma and M. Hanmandlu, ANAFS computation of H-component of Earths magnetic field, International Journal of Computational Intelligence and Applications, Vol.7, No. 1, March 2008, pp. 43-56.

  • Nishchal K. Verma and B. K. Panigrahi, Data driven model using adaptive fuzzy system, International Journal of Automation and Control, Vol.2, No. 4, 2008, pp. 447-458.

  • Nishchal K. Verma and B. K. Panigrahi, Data based adaptive computation technique, International Journal of Information and Communication Technology,Vol.1, No. 1, 2007, pp. 98-111.

  • Nishchal K. Verma and M. Hanmandlu, Non-additive Generalized Fuzzy System Under the Frame-work of Cluster weighted Model, International Journal on Artificial Intelligence and Machine Learning, Vol.(6), Issue (2), June 2006, pp.27-33.

  • Nishchal K. Verma and M. Hanmandlu, Adaptability in Additive Fuzzy Systems via EM Algorithm, International Journal of Artificial Intelligence and Machine Learning, Vol. 6, No. 2, June 2006, pp.34-41.

Conferences:
  • Narendra Kohli and Nishchal K. Verma, Performance Issues of Smart Card based online Health Care Automation System, Accepted for publication in International Conference on Signals, Systems and Automation 2009 (ICSSA 09), Gujrat, India.

  • Nishchal K. Verma and P.K. Kalra, Health Monitoring of Rotating Machines, Accepted for publication in BOEING NEM International Conference 2009 at Seattle, WA, USA.

  • Nishchal K. Verma, Abhishek Roy and Sitanshu Gupta, Color Segmentation Using Improved Mountain Clustering Technique Version-2, Accepted for publication in Second IEEE International Conference on Intelligent Human Computer Interaction (IHCI-2010), IIIT Alahabad, India.

  • Nishchal K. Verma, Payal Gupta, Pooja Agrawal and Yan Cui, Fuzzy Rule Based Unsupervised Approach for Salient Gene Extraction, Accepted for publication in 2009 IEEE Applied Imagery Pattern Recognition International Conference Washington DC, USA.

  • Nishchal K. Verma, Payal Gupta, Pooja Agrawal and Yan Cui, MRI Brain Image Segmentation for Spotting Tumors Using Improved Mountain Clustering Approach, Accepted for publication in 2009 IEEE Applied Imagery Pattern Recognition International Conference Washington DC,USA.

  • Nishchal K. Verma, Abhishek Roy, Sitanshu Gupta and Yan Cui, Improved Mountain Clustering Technique for Microarray Data, Accepted for publication in Joint International Conference on Applied Systems Research and XXXIII National Systems Conference DEI Dayalbagh Agra, India.

  • Jyoti K. Arora and Nishchal K. Verma, System of Osmotic Transport Across Cell Membranes in Human Corneal Epithelial Cells in Non Dilute Solution, Accepted for publication in Joint International Conference on Applied Systems Research and XXXIII National Systems Conference DEI Dayalbagh Agra, India.

  • Nishchal K. Verma, Payal Gupta, Pooja Agrawal, M. Hanmandlu, S. Vasikarla and Yan Cui, Medical Image Segmentation Using Improved Mountain Clustering Approach, Accepted for publication in The 6th IEEE International Conference on Information Technology - New Generation, ITNG 2009.

  • Nishchal K. Verma and M. Hanmandlu, Non-additive Generalized Fuzzy System Under the Frame-work of Cluster weighted Model, in Proceedings of International Conference on AIML-06, Sharm Elsheikh, Egypt, 13-15 June 2006.

  • Nishchal K. Verma and M. Hanmandlu, Adaptability in Additive Fuzzy Systems via EM Algorithm, in Proceedings of International Conference on AIML-06, Sharm Elsheikh, Egypt, 13-15 June 2006.

  • Nishchal K. Verma and M. Hanmandlu, Fuzzy Modeling of Earths Magnetic Field, IEEE International Magnetics Conference, Intermag 2006 2006, pp339-339, 8-12 May 2006 ,San Diego, USA USA.

  • Nishchal K. Verma and M. Hanmandlu, Interactive Fuzzy System Using CWM, in Proceedings of IEEE Indicon 2005 Conference, Chennai, India, 11-13 Dec.2005, pp.375-378.

  • Nishchal K. Verma, M. Hanmandlu and Nesar Ahmad, Cluster-Weighted Modeling for An Interactive Fuzzy System, in Proceedings of CERA 2005, An International Conference, Vol.2, IIT. Roorkee, India.


  • Prateek Tamrakar


  • Saurabh Agarwal


 

Dr Nischal K Verma
Location: ACES 103