Narayana Engineering College, JNTU Hyderabad India B.Tech
Annamacharya Institute of science and technology, JNTU Anantapur India M.Tech
National institute of Technology,
Warangal India Ph.D.
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.
• 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.
Life Member of ISTE
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).
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