Center for Data Engineering

Data engineering is a multi-disciplinary field involves the number of technologies: (i) Data Visualization (ii) Data Analysis (iii) Knowledge engineering (iv) Database systems (v) Data Mining (vi) Web Mining.

In this research center, we plan to conduct research in the following (i) Clustering (Data Mining) (ii) Web page ranking (iii) Recommender systems (iv) Transaction Processing and Concurrency Control.

Research Publications:

  • T. Ragunathan and P. Krishna Reddy, Speculation-Based Protocols for Improving the performance of Read-only Transactions, International Journal of Computational Science and Engineering, 2011, Vol 5, pages 226-242.
  • Mohit Goyal, T. Ragunathan and P. Krishna Reddy, Extending Speculation-Based Protocols for Read-only Transactions to Distributed Database Systems, HPCC 2010, conference proceedings, 527-532
  • T. Ragunathan, P. Krishna Reddy and Mohit Goyal, Semantics-Based Asynchronous Speculative Locking Protocol for Improving the Performance of Read-only Transactions, SpringSim 2010 conference, April 12-15, Orlando, Florida
  • T. Ragunathan and P. Krishna Reddy, Speculation-Based Protocols for Improving the Performance of Read-only Transactions, COMAD 2009 Ph.D.Workshop,December 9th, 2009, at ISIM, Mysore
  • T. Ragunathan and P. Krishna Reddy, Performance Evaluation of Speculation-Based Protocol for Read-only Transactions, ACM COMPUTE 2010 conference, January 22 & 23, Bangalore, India
  • Ragunathan, T. Krishna Reddy, P., Exploiting Semantics and Speculation for Improving the Performance of Read-only Transactions, COMAD 2008, December 17-19, IIT Bombay.
  • Ragunathan, T., Extending Speculation for Improving the Performance of Read-only Transactions, EDBT 2008 Ph.D Workshop, Nantes, France. (March 2008)
  • Ragunathan, T., Krishna Reddy, P, Improving the performance of Read-only Transactions through Asynchronous Speculation, HPCS 2008, ,Otawa,Canada., pp. 467-474. (April 2008)
  • Ragunathan, T., Krishna Reddy, P, Improving the performance of Read-only Transactions through Speculation, 5th International Workshop on Databases in Networked Information Systems, DNIS 2007, LNCS vol. 4777, pp. 203-221 (October 2007)
  • Improving the Performance of Read-only Transactions through Speculation, Poster Presentation, Techvista’07 at Microsoft India, Bangalore, January 23, 2007
  • Performance Enhancement of Read-only Transactions Using Speculative locking Protocol, Presented in, Sixth Annual Inter Research Institute Student Seminar in Computer Science (IRISS 2007) held at IIIT, Hyderabad during January 4-5, 2007.
  • Ayesha Ameen, Khaleel Ur Rahman Khan, B.Padmaja Rani, “Creation of Ontology in Education Domain” IEEE Fourth International Conference on Technology for Education(2012) organized by IIIT gachibowli,India,18-20 july 2012,pages 237- 238.
  • Ayesha Ameen, Khaleel Ur Rahman Khan, B.Padmaja Rani, “Ontological Student Profile”, The Second International Conference on Computational Science Engineering and Information Technology (CCSEIT-2012) organized by Avinashilingam University, October 26~28, Coimbatore, India.
  • Ayesha Ameen, Khaleel Ur Rahman Khan, B.Padmaja Rani,” Construction of University Ontology” 2 World Congress on Information and Communication Technologies organized by IIITMK Trivandrum India, October 30-31, November 2, 2012.
  • Ayesha Banu , Syeda Sameen Fatima and Khaleel Ur Rahman”Building OWL Ontology: LMSO-Library Management System Ontology”, Second International Conference on Advances in Computing and Information Technology(ACITY 2012), July 13-15, 2012, India, Published in Advances in Intelligent Systems And Computing, Vol. 178, Springer, pp-521-530
  • Ayesha Banu , Syeda Sameen Fatima and Khaleel Ur Rahman”A Re-Usability Approach to Ontology Construction”, The Second International Conference on Computational Science Engineering and Information Technology (CCSEIT-2012) organized by Avinashilingam University, October 26~28, Coimbatore, India
  • Ameen Ayesha, Khaleel Ur Rahman Khan, and B. Padmaja Rani.”Extracting knowledge from Ontology using Jena for Semantic Web” paper is accepted for the conference IEEE’s INTERNATIONAL CONFERENCES FOR CONVERGENCE OF TECHNOLOGY, Pune, India. 6 2013: th – 8 th April, 2014. link for the conferencehttp://www.i2ct.in .
  • Dr.S.Viswanadha Raju, G.Sreenivasulu et al.” A Threshold for clustering Concept – Drifting Categorical Data”, ELSEVIER, Procedia Engineering, 28-30 December 2011.
  • Dr.S.Viswanadha Raju, G.Sreenivasulu et al.” A Threshold for clustering Concept – Drifting Categorical Data”, ELSEVIER, Procedia Engineering, 28-30 December 2011.
  • Dr.S.Viswanadha Raju, G.Sreenivasulu et al.” Our-NIR: Node Importance Representative for Clustering of Categorical Data”, International Journal of Computer Science and Technology (IJCST) Vol.2, Issue 2, June 2011, pp. 80-82.(ISSN : 2229-4333(print) | ISSN : 0976-8491(online))
  • Dr.S.Viswanadha Raju, G.Sreenivasulu et al.” POur-NIR: Modified Node Importance Representative for Clustering of Categorical Data”, International Journal of Computer Science and Information Security (IJCSIS) Vol, 9, No. 4, April 2011, pp.146-150. (ISSN 1947-5500).
  • Dr.S.Viswanadha Raju, G.Sreenivasulu et al.” A Threshold for clustering Concept – Drifting Categorical Data”, IEEE 3 rd International Conference on Machine Learning and Computing (ICMLC), Vol, 3, Feb-2011, pp. 383-387.( (978-1-4244-9253/11/$26.00@2011 IEEE)
  • Dr.S.Viswanadha Raju, G.Sreenivasulu et al. “Clustering of Concept Drift Categorical Data using Our-NIR Method” International Journal of Computer Science and Electrical Engineering (IJCEE) Dec-2011.
  • Dr.S.Viswanadha Raju, G.Sreenivasulu et al. “A Comparative study of Node importance in Categorica clustering” International Journal of Advanced Engineering and Global Technology g (IJAEGT) Aug-2013.
  • Dr.S.Viswanadha Raju, G.Sreenivasulu et al. “Graph Based Approach for Clustering Categorical Data ” International Journal of Advanced Engineering and Global Technology g (IJAEGT) October-2013.
  • G.Sreenivasulu, Dr.S.Viswanadha Raju et al. “Data labeling method based on Rough Entropy for categorical data clustering “ IEEE explre, Nov-2014.