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, S. Incremental mining of high utility sequential patterns using MapReduce paradigm. Cluster Comput 25, 805–825 (2022). https://doi.org/10.1007/s10586-021- 03448-4
    • Manoj Varma, Saleti Sumalatha and Akhileshwar Reddy, “Distributed Mining of High Utility Sequential Patterns with Negative Item Values” International Journal of Advanced Computer Science and Applications(IJACSA), 12(3), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120370
    • 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).

Conference Publications

    • Saleti, S., Naga Sahithya, N., Rasagna, K., Hemalatha, K., Sai Charan, B., Karthik Upendra, P.V. (2022). Constraint Pushing Multi-threshold Framework for High Utility Time Interval Sequential Pattern Mining. In: Patel, K.K., Doctor, G., Patel, A., Lingras, P. (eds) Soft Computing and its Engineering Applications. icSoftComp 2021. Communications in Computer and Information Science, vol 1572. Springer, Cham. https://doi.org/10.1007/978-3-031-05767-0_21
    • Saleti, S., RadhaKrishna, P., JaswanthReddy, D. (2022). Mining Spatio-Temporal Sequential Patterns Using MapReduce Approach. In: Patel, K.K., Doctor, G., Patel, A., Lingras, P. (eds) Soft Computing and its Engineering Applications. icSoftComp 2021. Communications in Computer and Information Science, vol 1572. Springer, Cham. https://doi.org/10.1007/978-3-031-05767-0_13
    • Chivukula, R., Lakshmi, T.J., Sumalatha, S., Reddy, K.L.R. (2022). Ontology Based Food Recommendation. In: Senjyu, T., Mahalle, P., Perumal, T., Joshi, A. (eds) IOT with Smart Systems. Smart Innovation, Systems and Technologies, vol 251. Springer, Singapore. https://doi.org/10.1007/978-981-16-3945-6_74
    • M. Manike, P. Singh, P. S. Madala, S. A. Varghese and S. Sumalatha, "Student Placement Chance Prediction Model using Machine Learning Techniques," 2021 5th Conference on Information and Communication Technology (CICT), 2021, pp. 1-5, doi: 10.1109/CICT53865.2020.9672372.
    • Saleti, S., Tangirala, J.L., Thirumalaisamy, R. (2021). Distributed Mining of High Utility Time Interval Sequential Patterns with Multiple Minimum Utility Thresholds. In: Fujita, H., Selamat, A., Lin, J.CW., Ali, M. (eds) Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices. IEA/AIE 2021. Lecture Notes in Computer Science(), vol 12798. Springer, Cham. https://doi.org/10.1007/978-3- 030-79457-6_8

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