Assistant Professor

Dr. Saleti Sumalatha

Department of Computer Science Engineering

Interests

  1. Big Data
  2. Data Mining
  3. Machine Learning

Education

2004

Narayana Engineering College, JNTU Hyderabad
India
B.Tech

2010

Annamacharya Institute of science and technology, JNTU Anantapur
India
M.Tech

2020

National institute of Technology, Warangal
India
Ph.D.

Experience

  • January 2019 to March 2020 - Associate Professor – Geethanjali Institute of Science and Technology, Nellore, Andhra Pradesh.
  • July 2015 to December 2018 – Research Scholar – National Institute of Technology, Warangal, Telangana.
  • May 2012 to May 2015 – Associate Professor – Geethanjali Institute of Science and Technology, Nellore, Andhra Pradesh.
  • October 2010 to April 2012 – Assistant Professor - Narayana Engineering College, Nellore, Andhra Pradesh.
  • July 2004 to August 2008 – Assistant Professor – Narayana Engineering College, Nellore, Andhra Pradesh.

Research Interest

  • • To implement a learning management system and study the navigational patterns to enhance students learning.
  • • To develop incremental mining algorithms.

Awards & Fellowships

  • 2015 to 2018 - Ph.D. Fellowship - Ministry of Human Resource Development
  • 2010 – Secured first rank in Master’s Degree.

Memberships

  • Life Member of ISTE

Publications

  • Saleti Sumalatha and R.B.V Subramanyam, Distributed mining of high utility time interval
    sequential patterns using MapReduce approach, Expert Systems with Applications, Elsevier,
    Vol. 141, page 1-25, (2019). DOI: 10.1016/j.eswa.2019.112967.
  • Saleti Sumalatha and R.B.V Subramanyam, A MapReduce solution for incremental mining of sequential patterns from big data, Expert Systems with Applications, Elsevier, Vol. 133,
    No. 1, page 109-125, (2019). DOI: doi.org/10.1016/j.eswa.2019.05.013.
  • . Saleti Sumalatha and R.B.V Subramanyam, A novel mapreduce algorithm for distributed
    mining of sequential patterns using co-occurrence information, Applied Intelligence, Springer,
    Vol.49, No. 1, page 1-22, (2018). DOI:10.1007/s10489-018-1259-2.
  • Saleti Sumalatha and R.B.V Subramanyam, A novel Bit Vector Product algorithm for mining frequent itemsets from large datasets using MapReduce framework, Cluster Computing, Springer, Vol.21, No. 2, page 1365-1380, (2017). DOI:10.1007/s10586-017-1249-x.
  • Vijay K Bhaskar, R.B.V Subramanyam, Thammi K Reddy and S.Sumalatha, Top-k Closed
    Sequential Graph Pattern Mining, I.J. Information Engineering and Electronic Business
    Vol. 4, page 1-9, (2016).DOI: 10.5815/ijieeb.2016.04.01
  • Vijay K Bhaskar, Thammi K Reddy and S.Sumalatha, Pushing Constraints to Generate Top-K Closed Sequential Graph Patterns, International Journal of Computer Applications,
    Vol.137, No.7, Page 34-42, (2016). DOI: 10.5120/ijca2016908818
  • Vijay K Bhaskar, Thammi K Reddy and S.Sumalatha, Clustering of graphs using Divisive
    Hierarchical Approach, I.J. Computer Science and Information Security, Vol. 14, No.1,
    (2016).

Contact Details

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