Associate Professor
School of Computer Science And Artificial Intelligence
Kakatiya Univeristy
20 Years
Machine Learning, Algorithms, Problem Solving
Machine Learning, Algorithms
Mail: p.praveen@sru.edu.in
Ph.D. (C.S.E.) from Kakatiya Univeristy, Warangal
M.Tech from JNTUH and MCA from Kakatiya Univeristy, Warangal
B.Sc. from KVCM Degree College, Khammam
Associate Professor at SR University, from 2019-07-01 to Till Date.
Assistant Professor at SR Engineering College, from 2007-07-30 to 2019-06-30.
Assistant Professor at University PG College, from 2002-11-13 to 2007-07-29.
Ph.D
PG
UG
“DataExtracting for Entrepreneurial opportunities by using Clustering methods” Titled published in 3rd International conference on Next Generation Education for Entrepreneurial Engineers organized by Center for Entrepreneurial Developmentat S.R. Engineering College on 9th -10th March 2016. ISBN No. 978-93-85477-76-8. Page No. 182-185.
“Smartcard Fraud Detection Using Secure Onetime Random Mobile Password” Titled published In International Journal Of Advanced Research In Computer And Communication Engineering Vol 3 ISSN 2319-5940 Jan-2014.
“Experimental Survey on Data Mining Techniques for Association rule mining “Titled published in International Journal of Advanced Research in Computer Science and Software Engineering, Vol 4, issue 2, Feb 2014 , Impact Factor 2.5.
“A parallel Study on Data mining techniques for clustering to use weather data set”Titled published in International Journal of Innovative Research in Computer Science and Communication Engineering, volume 4, issue 4, with ISSN Number2320-980, April-2016, DOI: 10.15680/IJIRCCE.2016. 0404284 with Impact Factor: 5.6
“Aging Mechanism for Online Social Networks” Titled published in International Journal of Scientific Engineering and Technology Research Volume.04, IssueNo.53, December-2015, Pages: 11333-11342.
“Pattern Based Subspace Clustering In Sequence Mining” Titled published in International Journal Of Innovative Research In Technology(IJIRT), with ISSN: 2349-6002 Page Number 245-247, Volume 1 Issue 10 ,2014.
“A Survey on Feature Selection Approaches in Machine Learning”Titled published in South Asian Journal of Engineering and Technology(SAJET), with ISSN Number: 2581-5660, Page Number 1-6 Volume 2 , Issue 31, Feb 2016 , Impact Factor 4.62, UGC Approved.
“A Novel Approach For K-NN On Unsupervised Distance based Outlier Detection”Titled published in an International Journal For Technological Research In Engineering (IJTRE), with ISSN Number: 2347 - 4718, Page Number 504 – 508 Volume 4 , Issue 3, Nov2016 , Impact Factor 4.62, UGC Approved
“An Analysis of Clustering Algorithms for Big Data”Titled published in an International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), with ISSN Number: 2321-8169, Page Number1294 – 1299Volume 5 , Issue 6, June2017, , Impact Factor 5.81, UGC Approved.
“A study on Monothetic Divisive Hierarchical Clustering Method” Titled published in an International Journal of advanced scientific Technologies, Engineering and Management Sciences (IJASTEMS), with ISSN Number: 2454-356X, Volume 3, Special Issue 1, and March-2017, Impact Factor 3.022, Thompson Reuters Researcher Id : E-5489 – 2016, Jgate Indexing.
An Efficient Cache Support Path Computation Model For Road Maps” Titled published in n International Journal of Advanced Research in Computer Science (IJARCS) with ISSN number 0976-5697, Page Number 1126-1130, Volume 8, No 7, July – Aug – 2017, DOI:http://dx.doi.org/10.26483/ijarcs.v8i7.4586.
“An Agglomerative Clustering Method for Solving Vehicle Routing Problem” Titled published in International Journal of Engineering Research in Computer Scienceand Engineering (IJERCSE) ISSN (Online) 2394-2320 Vol 4, Issue 11, November 2017 pp.103-107.
“Improving Efficiency And Effectiveness Of Hierarchical Clustering”Titled published in an International Journal of Advanced Research in Computer Science(IJARCS),with ISSN Number:0976-5697, Page Number 324-327 Volume 9 , Issue 2, March-April 2018, DOI http://dx.doi.org/10.26483/ijarcs.v9i2.5764 , Impact Factor 3.72 Thompson Reuters Researcher Id : E-5489 – 2016, ISI Indexing.
“Novel Classification Scheme for Multi Agents”Titled published in Asian Journal of Computer Science and Technology ISSN: 2249-0701 Vol.8 No.S3, 2019, pp. 54-58(UGC Listed -45800).
Praveen Pappula, "A Novel Binary Search Tree Method to Find an Item Using Scaling", The International Arab Journal of Information Technology (IAJIT) ,Volume 19, Number 05, pp. 122 - 129, September 2022, doi: 10.34028/iajit/19/5/2 .
“An Efficient Clustering Algorithm of Minimal Spanning Tree “Titled published in the IEEE International Conference on Advances in Electrical, Electronics, Information,Communication and Bio-Informatics AEEICB17, during 27th and 28th – Feb- 2017.
"Big Data Environment for Geospatial Data Analysis “ Titled published in the IEEE International Conference on Communication and Electronic Systems (ICCES2016) organized by PPG Institute of Technology, Coimbatore, India, during 21-22 October 2016.
“ANovel approach to Improve the performance of divisive clustering using BST” Titled published in Springer AISC collaborated with 3rd international conference on Computer & Communication Technologies (IC3T) organized by Department of CSE , MIC college of Technology, Vijayawada, Krishna District, AP, India , during 5-6 November, 2016.
“An Empirical Comparison of Clustering using Hierarchical methods and K-means” Titled published in a 2ndIEEE International Conference on “Advances in Electrical, Information, Communication and Bio- Informatics (AEEICB-2016) “- Feb 27–28, 2016.
"A Review Of Feature Subset Selection on Unsupervised Learning” Titled published in the IEEE International Conference on Advances in Electrical, Electronics, Information,Communication and Bio-Informatics AEEICB17, during 27th and 28th – Feb- 2017.
“A k-means Clustering Algorithm on Numeric Data” Titled published in International journal of Pure and applied Mathematics with ISSN number 1314 - 3395 (online), 1311-8080(print), Volume 117, No 7, Special Issue- November-2017, PP no 157-164.
“An Efficient Smart Search Using R Tree on Spatial Data” Titled published in Jour of Adv Research in Dynamical & Control Systems, 11-Special Issue, July 2017. ISSN 1943-023X pp 226-232.
“A Study on Causal Discovery with PC Algorithm” Titled published in IEEE International Conference on Infocom Technologies and Unnamed System (ICTUS 2017), Dec 18-20, Amity University, Dubai, UAE.
“Big Data Clustering: Applying Conventional Data Mining Techniques in Big Data Environment” Titled published in Springer LNCC collaborated 6th International Conference on Innovations in Computer Science and Engineering (ICICSE 2018) organized by Department of CSE Gurunanak Institutions Technical Campus and Gurunanak Institute of Technology, Hyderabad, Telangana, India, during 17th- 18th Aug 2018.
A Comprehensive Study on Single Sign on Technique” title published in International Journal of Advanced Science and Technology (IJAST),ISSN:2005-4238E-ISSN:2207-6360 Vol-127-June-2019,Page No:435-441.
“Research on Multi-Agent Experiment in Clustering” Title published in International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-1S4, June 2019,Page No:1126-1129.
"A Methodology for Building Proficient and Exact Social Recommender Framework Utilizing Singular Connection” Titled published in International Journal of Advanced Science and Technology (Scopus),Vol 28(2019),pp.50-56.
“An Evaluation Of Feature Selection Algorithms In Machine Learning“Titled published in International Journal Of Scientific & Technology Research December(Scopus),Vol 8, Issue 12(2019),pp.2071-2076.
“Text Classification Performance Analysis on Machine Learning “Titled published in International Journal of Advanced Science and Technology (Scopus) , Vol. 28, No. 20(2019),pp. 691 – 697
“Hierarchical Clustering Analysis Methods in Data Mining “Titled published inInternational Journal of Grid and Distributed Computing ( WOS),Vol. 12, No. 3(2019),pp.94 – 101.
“An Efficient Linkage Criterion for Creating Clusters in Hierarchical Method “Titled published inInternational Journal of Future Generation Communication and Networking(WOS) ,Vol. 12, No. 5(2019),pp.294- 300.
“An Approach In Evaluating The Gallop: Global Feature Fused Location Prediction For Different Check In Scenarios“ Titled published in Journal of Xi'an University of Architecture & Technology(scopus), Volume XII, Issue II(2020),pp. 2630-2635.
“An Optimized Clustering Method to Create Clusters Efficiently “Titled published inJournal Of Mechanics Of Continua And Mathematical Sciences (WOS),Vol-15,No-1,2020,pp.339-348.
“A Novel Approach For Easy Chits Using An Android Application”Titled published inJournal Of Mechanics Of Continua And Mathematical Sciences (WOS),ISSN (Online) : 2454 -7190 Vol.-15, No.-6, June (2020) pp 371-378 ISSN (Print) 0973-8975,https://doi.org/10.26782/jmcms.2020.06.00028
“A Survey On Various Clustering Algorithms Using Nature Inspired Algorithms” Titled published in Journal Of Mechanics Of Continua And Mathematical Sciences (WOS),ISSN (Online) : 2454 -7190 Vol.-15, No.-7, July (2020) pp 282-293 ISSN (Print) 0973-8975,https://doi.org/10.26782/jmcms.2020.07.00023
“Remote Data Auditing in Multi-tenancy Cloud Storage by Using File Attribute Test Technique” Titled published in IOP Conf. Series: Materials Science and Engineering 981 (2020) 022071 IOP Publishing doi:10.1088/1757-899X/981/2/022071
P. Praveen, K. Srilatha, M. Sathvika, E. Nishitha and M. Nikhil, "Prediction of Alzheimer's Disease using Deep Learning Algorithms," 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Salem, India, 2023, pp. 587-594, doi: 10.1109/ICAAIC56838.2023.10140746.
. P. Praveen, S. Shravani, R. Srija and M. Tajuddin, "A Model to Stock Price Prediction using Deep Learning," 2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS), Coimbatore, India, 2023, pp. 242-252, doi: 10.1109/ICSCSS57650.2023.10169558.
Md Ali,Praveen,RNN based prediction of spatiotemporal data mining Titled published in IOP Conf. Series: Materials Science and Engineering 981 (2020) 022071 IOP Publishing doi:10.1088/1757-899X/981/2/022071
Praveen, Mohammed Ali Shaik,The comparative study on agglomerative hierarchical clustering using numerical data Titled published in IOP Conf. Series: Materials Science and Engineering 981 (2020) 022071 IOP Publishing doi:10.1088/1757-899X/981/2/022071
Praveen, Btech Final Year Students,A Novel Approach to Predict Cardio Disease Using Naive Bayes Algorithm “Titled published in Journal of Cardiovascular Disease Research ISSN: 0975-3583, 0976-2833 VOL 12, ISSUE 03, 2021
Praveen,Mohammed ALi Shaik,Sampath Kumar,Smart Farming: Securing Farmers Using Block Chain Technology and IOT published in © Springer Nature Switzerland AG 2021, Block chain Applications in IoT Ecosystem, EAI/Springer Innovations in Communication and Computing
Praveen,A Hybrid Frame Work on Real-Time Vehicle Detection and Speed Tracking Using Machine Learning.” In: Pandian, A.P., Palanisamy, R., Narayanan, M., Senjyu, T. (eds) Proceedings of Third International Conference on Intelligent Computing, Information and Control Systems. Advances in Intelligent Systems and Computing, vol 1415. Springer, Singapore.
Praveen,A Predictive Model of Handwritten Digits Recognition Using Expert Systems. 2022) in Soft Computing for Security Applications. Advances in Intelligent Systems and Computing, vol 1397. Springer, Singapore.
Praveen, Sheshikala,swathi,Identification of Masked Face Using Deep Learning Techniques in Springer Nature Switzerland AG 2022,Lecture Notes in Networks and Systems, 2022, 336, pp. 889–898.
202041013288 A Disclosed is a cotton-leaf disease recognition system (100) comprising, an image processing module (118) to pre-process a captured cotton-leaf image; a segmentation module (120) to segment the pre-processed image into segments by using a scaling technique; a feature extraction module (122) to extract features from each of the segments; a clustering module (124) to generate clusters of the segments having comparable extracted features by using a grid-based clustering; a classification module (126) to classi
201941049447 A The covering means (100) for outdoor arenas is made of combining plurality of 2-3 mm thickness particle foam Thermoplastic Polyurethane (TPU) mats. The Thermoplastic polyurethane is integrated with many features including of rubber and plastic. It also has Excellent tensile strength, High elongation at break and gives more lifetime. It is useful to poor people like tribal, Nomadic and roadside businesspeople. The particle foam TPU mats (100) can be manufactured in different dimensions and thickness.
201941022455 A According to an aspect of the invention a Mean Base Divisive Clustering (MB-DivClues) method for categorizing unstructured data into various groups is disclosed. The constructive mean-based divisive clustering method is developed to reduce comparison includes several steps which includes identification of mean value from a given dataset, to find the arithmetic mean value of base clusterinfrequent attribute and storing the found mean value in a tree which is represented as root. Further the steps include .
201941017724 A AN HEURISTIC TREE STRUCTURE ALGORITHM TO FIND AN ITEM USING SCALING 7. ABSTRACT This Invention comprises of methods to produce novel and efficient methods to implement search of data objects in various applications. It is based on the best match search to implement proximity or best match search over complex or more than one data source. In particular with the availability of very large numeric data set in the present day scenario. The proposed approach which is based on the Arithmetic measures or distanc
201841026128 A A constructive mean-based divisive clustering method is disclosed. In this method, initially all data elements are arranged in a single cluster. From this cluster a mean value is picked and compared with the data element and then less than mean value is shifted to left and greater than mean value shifted to right and stored in new cluster. In this every cluster is represented by mean value and if any new object is entered data set that mean value is compared with the existing clusters and stored in nearest
