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ORCIDK. G. Srinivasa 0001
Srinivasa K. G. 0001 – Krishnarajanagar G. Srinivasa
Person information
- affiliation: International Institute of Information Technology Naya Raipur, India
- affiliation (2019 - 2022): National Institute of Technical Teachers' Training & Research, Chandigarh, India
- affiliation (2016 - 2019): Ch. Brahm Prakash Government Engineering College, New Delhi, India
- affiliation (2003 - 2016): M. S. Ramaiah Institute of Technology, Bengaluru, India
- affiliation (PhD 2007): Bangalore University, Visvesvaraya College of Engineering, India
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2020 – today
- 2024
[j60]Raju Gudla
, Satyanarayana Vollala, Srinivasa K. G., Ruhul Amin:
A novel approach for classification of Tor and non-Tor traffic using efficient feature selection methods. Expert Syst. Appl. 249: 123544 (2024)- [j59]Agrawal Luckykumar Dwarkadas, Viswanath Talasila, Sheeraz Kirmani, Rama Krishna Challa, K. G. Srinivasa:
Application of Non-Immersive Virtual Reality in Cerebral Palsy Children: A Systematic Review. Int. J. Imaging Syst. Technol. 34(5) (2024) - [j58]Krish Rustagi, Pranav Bhatnagar, Rishabh Mathur, Indu Singh, Srinivasa K. G.:
Hybrid salp swarm and grey wolf optimizer algorithm based ensemble approach for breast cancer diagnosis. Multim. Tools Appl. 83(27): 70117-70141 (2024) - [j57]Agrawal Luckykumar Dwarkadas, Viswanath Talasila, Rama Krishna Challa, Srinivasa K. G.:
A review of the application of virtual and augmented reality in physical and occupational therapy. Softw. Pract. Exp. 54(8): 1378-1407 (2024) - 2023
- [b5]Muralidhar Kurni, Mujeeb Shaik Mohammed, K. G. Srinivasa:
A Beginner's Guide to Introduce Artificial Intelligence in Teaching and Learning. Springer 2023, ISBN 978-3-031-32652-3, pp. 1-229 - [j56]B. J. Sowmya, D. Pradeep Kumar, R. Hanumantharaju, K. G. Srinivasa:
DAMIAN - data accrual machine intelligence with augmented networks for contextually coherent creative story generation. Int. J. Bus. Intell. Data Min. 22(1/2): 115-130 (2023) - [j55]B. J. Sowmya, R. Hanumantharaju, D. Pradeep Kumar, K. G. Srinivasa:
Identification of authorship and prevention of fraudulent transactions/cybercrime using efficient high performance machine learning techniques. Int. J. Bus. Intell. Data Min. 22(1/2): 144-169 (2023) - [j54]Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa:
DeepLSGR: Neural collaborative filtering for recommendation systems in smart community. Multim. Tools Appl. 82(6): 8709-8728 (2023) - [j53]Indu Singh, K. G. Srinivasa, Mridul Maurya, Aditya Aggarwal, Himanshu Sheokand, Harsh Gunwant, Mohit Dhalwal:
Hybrid ABC and black hole algorithm with genetic operators optimized SVM ensemble based diagnosis of breast cancer. Pattern Anal. Appl. 26(4): 1771-1791 (2023) - [c36]Shreya Parashar, K. G. Srinivasa:
Multilingual Speech Sentiment Recognition Using Spiking Neural Networks. BDA 2023: 215-234 - [c35]Garika Akshay, Mohammad Irfan, K. G. Srinivasa, Anurag Singh:
Skin-Vision: An Innovative Mobile-Based Automated Skin Disease Detection Application. OCIT 2023: 835-840 - [c34]A Yogi Athish, Srinivasa K. G., M. Sivakumar:
Multilingual Speech Recognition Using Reinforcement Learning. ICCCNT 2023: 1-6 - [c33]Anirudh Bhakar, Priyanshu Senabaya Deori, Yash Vardhan Gautam, Srinivasa K. G.:
Maximizing Returns with Reinforcement Learning: A Paradigm Shift in Stock Market Portfolio Management. TENCON 2023: 393-398 - [c32]Mangipudi Sai Hemant, Shriniwas Raju Jagadabhi, Bhanu Teja Vidapu, Srinivasa K. G.:
Multimodal Classification of Cognitive States in Alzheimer's Disease. TENCON 2023: 1356-1361 - 2022
- [j52]R. Hanumantharaju, K. N. Shreenath, B. J. Sowmya, K. G. Srinivasa:
Leveraging the fog-based machine learning model for ECG-based coronary disease prediction. Int. J. Bus. Intell. Data Min. 21(3): 328-353 (2022) - [j51]Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa:
Fuzzy Inference-Propelled Sentence Ranking for Extractive Summary Generation. Int. J. Decis. Support Syst. Technol. 14(1): 1-14 (2022) - [j50]R. Hanumantharaju, Sowmya B. J., Aparna R., K. N. Shreenath, K. G. Srinivasa, B. S. K. Sharanya:
Design of Context Cluster and Load Balanced Video Recommendation System in Cloud Computing. Int. J. Inf. Retr. Res. 12(1): 1-18 (2022) - [j49]G. M. Siddesh, S. R. Mani Sekhar, Srinidhi Hiriyannaiah, Srinivasa K. G.:
Forecasting Stock Market Volume Price Using Sentimental and Technical Analysis. J. Inf. Technol. Res. 15(1): 1-13 (2022) - [j48]Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa:
Deep visual ensemble similarity (DVESM) approach for visually aware recommendation and search in smart community. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 2562-2573 (2022) - [j47]R. Hanumantharaju, K. N. Shreenath, B. J. Sowmya, K. G. Srinivasa:
Fog based smart healthcare: a machine learning paradigms for IoT sector. Multim. Tools Appl. 81(26): 37299-37318 (2022) - 2021
- [j46]Indu Singh, Narendra Kumar, Srinivasa K. G., Shivam Maini, Umang Ahuja, Siddhant Jain:
A multi-level classification and modified PSO clustering based ensemble approach for credit scoring. Appl. Soft Comput. 111: 107687 (2021) - [j45]G. M. Siddesh, K. G. Srinivasa:
IoT Solution for Enhancing the Quality of Life of Visually Impaired People. Int. J. Grid High Perform. Comput. 13(4): 1-23 (2021) - [i3]Sai Koushik S. S., K. G. Srinivasa:
Artifact Reduction in Fundus Imaging using Cycle Consistent Adversarial Neural Networks. CoRR abs/2112.13264 (2021) - 2020
- [j44]Chetan Shetty, B. J. Sowmya, S. Seema, K. G. Srinivasa:
Chapter Eight - Air pollution control model using machine learning and IoT techniques. Adv. Comput. 117: 187-218 (2020) - [j43]Aman Malali, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa, Sanjay N. T.:
Supervised ECG wave segmentation using convolutional LSTM. ICT Express 6(3): 166-169 (2020) - [j42]Sowmya B. J., S. Krishna Chaitanya, S. Seema, K. G. Srinivasa:
Data Analytic Techniques for Developing Decision Support System on Agrometeorological Parameters for Farmers. Int. J. Cogn. Informatics Nat. Intell. 14(2): 92-107 (2020) - [j41]Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa:
Predictive Analytical Model for Microblogging Data Using Asset Bubble Modelling. Int. J. Cogn. Informatics Nat. Intell. 14(2): 108-118 (2020) - [j40]Indu Singh, Narendra Kumar, Srinivasa K. G., Tript Sharma, Vaibhav Kumar, Siddharth Singhal:
Database intrusion detection using role and user behavior based risk assessment. J. Inf. Secur. Appl. 55: 102654 (2020)
2010 – 2019
- 2019
- [j39]Sowmya B. J., Chetan Shetty, S. Seema, K. G. Srinivasa:
An Image Processing and Machine Learning Approach for Early Detection of Diseased Leaves. Int. J. Cyber Phys. Syst. 1(2): 56-73 (2019) - [j38]N. Sudhakar Yadav, K. G. Srinivasa, B. Eswara Reddy:
An IoT-Based Framework for Health Monitoring Systems: A Case Study Approach. Int. J. Fog Comput. 2(1): 43-60 (2019) - [j37]Pankaj Lathar, K. G. Srinivasa:
A Study on the Performance and Scalability of Apache Flink Over Hadoop MapReduce. Int. J. Fog Comput. 2(1): 61-73 (2019) - [j36]Jagadish S. Kallimani, Chekuri Sailusha, Pankaj Lathar, K. G. Srinivasa:
Development of Community Based Intelligent Modules Using IoT to Make Cities Smarter. Int. J. Fog Comput. 2(2): 1-12 (2019) - [j35]Jamuna S. Murthy, G. M. Siddesh, K. G. Srinivasa:
A Real-Time Twitter Trend Analysis and Visualization Framework. Int. J. Semantic Web Inf. Syst. 15(2): 1-21 (2019) - [j34]Jamuna S. Murthy, G. M. Siddesh, K. G. Srinivasa:
TwitSenti: A Real-Time Twitter Sentiment Analysis and Visualization Framework. J. Inf. Knowl. Manag. 18(2): 1950013:1-1950013:26 (2019) - [c31]Ganeshayya Ishwarayya Shidaganti, S. Prakash, K. G. Srinivasa:
Curriculum Enrichment in Empowering "Corporate-Ready" Individuals. ICICT (2) 2019: 437-447 - 2018
- [b4]Krishna Raj P. M., Ankith Mohan, K. G. Srinivasa:
Practical Social Network Analysis with Python. Computer Communications and Networks, Springer 2018, ISBN 978-3-319-96745-5, pp. 1-317 - [b3]K. G. Srinivasa, G. M. Siddesh, Srinidhi Hiriyannaiah:
Network Data Analytics - A Hands-On Approach for Application Development. Computer Communications and Networks, Springer 2018, ISBN 978-3-319-77799-3, pp. 3-383 - [j33]Krishnarajanagar G. Srinivasa, Srinidhi Hiriyannaiah:
Chapter Five - Comparative Study of Different In-Memory (No/New) SQL Databases. Adv. Comput. 109: 133-156 (2018) - [j32]N. Sudhakar Yadav, B. Eswara Reddy, K. G. Srinivasa:
An efficient sensor integrated model for hosting real-time data monitoring applications on cloud. Int. J. Auton. Comput. 3(1): 18-33 (2018) - [j31]Midde Ranjit Reddy, K. G. Srinivasa, B. Eswara Reddy:
Clustering trajectory-based objects in spatio networks. Int. J. Auton. Comput. 3(1): 72-85 (2018) - [j30]Srinidhi Hiriyannaiah, G. M. Siddesh, P. Anoop, K. G. Srinivasa:
Semi-structured data analysis and visualisation using NoSQL. Int. J. Big Data Intell. 5(3): 133-142 (2018) - [j29]K. G. Srinivasa, R. Sharath, S. Krishna Chaitanya, K. N. Nirupam, Sowmya B. J.:
Data analytics on census data to predict the income and economic hierarchy. Int. J. Data Anal. Tech. Strateg. 10(3): 223-240 (2018) - [j28]Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa:
Real-Time Streaming Data Analysis Using a Three-Way Classification Method for Sentimental Analysis. Int. J. Inf. Technol. Web Eng. 13(3): 99-111 (2018) - [j27]K. G. Srinivasa, Srinidhi Hiriyannaiah, G. M. Siddesh:
Minimization of Energy in Smart Phone Application Development Using Code Analysis. Int. J. Open Source Softw. Process. 9(3): 48-60 (2018) - [j26]Midde Ranjit Reddy, K. G. Srinivasa, B. Eswara Reddy:
Smart Vehicular System based on the Internet of Things. J. Organ. End User Comput. 30(3): 45-62 (2018) - [j25]K. G. Srinivasa, Sowmya B. J., Abhinav Shikhar, Ritu Utkarsha, Aahan Singh:
Data Analytics Assisted Internet of Things Towards Building Intelligent Healthcare Monitoring Systems: IoT for Healthcare. J. Organ. End User Comput. 30(4): 83-103 (2018) - [c30]Devika Anil, Anagha Vembar, Srinidhi Hiriyannaiah, G. M. Siddesh, K. G. Srinivasa:
Performance Analysis of Deep Learning Architectures for Recommendation Systems. HiPC Workshops 2018: 129-136 - [c29]Manikanta Durga Srinivas Anisetty, Gagan K. Shetty, Srinidhi Hiriyannaiah, Siddesh Gaddadevara Matt, K. G. Srinivasa, Anita Kanavalli:
Content-Based Music Classification Using Ensemble of Classifiers. IHCI 2018: 285-292 - 2017
- [j24]K. G. Srinivasa:
Utility maximisation-based game theoretic approach for resource allocation in clouds. Int. J. Commun. Networks Distributed Syst. 18(3/4): 235-247 (2017) - [j23]G. M. Siddesh, K. G. Srinivasa, Siddharth Kaushik, S. V. Varun, Vidhatri Subramanyam, Vinay M. Patil:
Internet of Things (IOT) Solution for Increasing the Quality of Life of Physically Challenged People. J. Organ. End User Comput. 29(4): 72-83 (2017) - [j22]P. M. Krishnaraj, Ankith Mohan, Srinivasa K. G.:
Performance of procedures for identifying influentials in a social network: prediction of time and memory usage as a function of network properties. Soc. Netw. Anal. Min. 7(1): 34:1-34:11 (2017) - 2016
- [j21]K. G. Srinivasa, Abhinav Shikhar, J. S. Naveen, Sowmya B. J.:
Social Impacts of Using Internet of Things and Data Analytics to Prevent and Reduce the Rate of Accidents. Int. J. Appl. Evol. Comput. 7(4): 60-76 (2016) - [j20]K. G. Srinivasa, Sowmya B. J., D. Pradeep Kumar, Chetan Shetty:
Efficient Image Denoising for Effective Digitization using Image Processing Techniques and Neural Networks. Int. J. Appl. Evol. Comput. 7(4): 77-93 (2016) - [j19]Srinivasa K. G., Satvik Jagannath, Aakash Nidhi:
Know Your World Better: Cloud Based Augmented Reality Android Application. Int. J. Handheld Comput. Res. 7(2): 1-15 (2016) - [j18]Srinivasa K. G., Ganesh Hegde, Kushagra Mishra, Mohammad Nabeel Siddiqui, Abhishek Kumar, Pradeep Kumar D.:
Microsense: Sensor Framework for IoT System-on-Chip. Int. J. Handheld Comput. Res. 7(3): 38-55 (2016) - [c28]Sowmya B. J., Chetan Shetty, D. Pradeep Kumar, K. G. Srinivasa:
Paving the Future of Vehicle Maintenance, Breakdown Assistance and Weather Prediction Using IoT in Automobiles. FICTA (1) 2016: 693-702 - [c27]K. G. Srinivasa, Kartik S. Gayatri, Maaz Syed Adeeb, Nikhil N. Jannu:
An Internet of Things Based Software Framework to Handle Medical Emergencies. ICDCIT 2016: 193-198 - [c26]N. Hema, K. G. Srinivasa, Saravanan Chidambaram, Sandeep Saraswat, Sujoy Saraswati, Ranganath Ramachandra, Jayashree B. Huttanagoudar:
Performance Analysis of Java Virtual Machine for Machine Learning Workloads using Apache Spark. ICIA 2016: 125:1-125:7 - [c25]K. G. Srinivasa, Sowmya B. J.:
Project Based Learning for Internet of Things and Data Analytics: Experience Report of Learning from ET601X. T4E 2016: 262-263 - 2015
- [b2]K. G. Srinivasa, Anil Kumar Muppalla:
Guide to High Performance Distributed Computing - Case Studies with Hadoop, Scalding and Spark. Computer Communications and Networks, Springer 2015, ISBN 978-3-319-13496-3, pp. 3-301 - [c24]Sowmya B. J., Srinidhi Hiriyannaiah, K. G. Srinivasa:
A Case Study based Software Engineering Education using Open Source Tools. QuASoQ/WAWSE/CMCE@APSEC 2015: 79-88 - [c23]G. M. Siddesh, K. G. Srinivasa, Ishank Mishra, Abhinav Anurag, Eklavya Uppal:
Phylogenetic Analysis Using MapReduce Programming Model. IPDPS Workshops 2015: 350-356 - 2014
- [c22]K. G. Srinivasa, S. Srinidhi, K. Sharath Kumar, Vignesh Shenvi, U. Shashank Kaushik, Kushagra Mishra:
Game theoretic resource allocation in cloud computing. ICADIWT 2014: 36-42 - [c21]Animesh Ramesh, K. G. Srinivasa, N. Pramod:
SentenceRank - A graph based approach to summarize text. ICADIWT 2014: 177-182 - 2013
- [j17]G. M. Siddesh, K. G. Srinivasa:
SLA-driven dynamic capacity forecasting and resource allocation with risk analysis on clouds. Int. J. Commun. Networks Distributed Syst. 11(3): 327-346 (2013) - [j16]G. M. Siddesh, K. G. Srinivasa:
GRFM: an efficient grid-based replication and fault tolerant middleware. Int. J. Comput. Sci. Eng. 8(2): 133-147 (2013) - [j15]Srinivasa K. G.:
An Intelligent Network Intrusion Detection System Based on Multi-Modal Support Vector Machines. Int. J. Inf. Secur. Priv. 7(4): 37-52 (2013) - [c20]Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy:
Extraction and interpretation of charts in technical documents. ICACCI 2013: 382-387 - 2012
- [j14]K. G. Srinivasa, Harish RaddiC. S., Mohan KrishnaS. H., Nidhi Venkatesh:
MeghaOS: A Framework for Scalable, Interoperable Cloud Based Operating System. Int. J. Cloud Appl. Comput. 2(1): 53-70 (2012) - [j13]G. M. Siddesh, K. G. Srinivasa:
An Enterprise Mashup Integration Service Framework for Clouds. Int. J. Cloud Appl. Comput. 2(2): 31-40 (2012) - [j12]K. G. Srinivasa, N. Pramod, K. R. Venugopal, Lalit M. Patnaik:
Effects of Information Filters: A Phenomenon on the Web. Int. J. Inf. Retr. Res. 2(2): 1-12 (2012) - [j11]K. G. Srinivasa, N. Pramod:
gNIDS: rule-based network intrusion detection system using genetic algorithms. Int. J. Intell. Syst. Technol. Appl. 11(3/4): 252-266 (2012) - [j10]Krishna Raj P. M., Srinivasa K. G.:
Empirical studies of global volunteer collaboration in the development of free and open source software: analysis of six top ranked projects in sourceforge.net. ACM SIGSOFT Softw. Eng. Notes 37(2): 1-11 (2012) - [i2]Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth:
General Methodology for developing UML models from UI. CoRR abs/1201.2031 (2012) - [i1]Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth:
Early Performance Prediction of Web Services. CoRR abs/1201.2034 (2012) - 2011
- [j9]Srinivasa K. G., Anil Kumar Muppalla, Bharghava Varun A., Amulya M.:
MapReduce Based Information Retrieval Algorithms for Efficient Ranking of Webpages. Int. J. Inf. Retr. Res. 1(4): 23-37 (2011) - [j8]Krishna Raj P. M., Srinivasa K. G.:
Analysis of projects and volunteer participation in large scale free and open source software ecosystem. ACM SIGSOFT Softw. Eng. Notes 36(2): 1-5 (2011) - [c19]G. M. Siddesh, K. G. Srinivasa:
SLA - Driven Dynamic Resource Allocation on Clouds. ADCONS 2011: 9-18 - [c18]G. M. Siddesh, K. G. Srinivasa:
An Adaptive Scheduler Framework for Complex Workflow Jobs on Grid Systems. HPCC 2011: 544-549 - [c17]G. M. Siddesh, K. G. Srinivasa, K. R. Venugopal:
GRM: a reliable and fault tolerant data replication middleware for grid environment. ICWET 2011: 810-815 - [c16]Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy:
Information extraction by an abstractive text summarization for an Indian regional language. NLPKE 2011: 319-322 - 2010
- [c15]K. G. Srinivasa, G. M. Siddesh, Sijo Cherian:
Fault-Tolerant Middleware for Grid Computing. HPCC 2010: 635-640 - [c14]Jagadish S. Kallimani, K. G. Srinivasa, B. Eswara Reddy:
Information retrieval by text summarization for an Indian regional language. NLPKE 2010: 1-4 - [e1]Vinu V. Das, R. Vijayakumar, K. G. Srinivasa, Hatim A. Aboalsamh, Mohammad Hammoudeh, Vahid Salmani, Dinesh Kumar Tyagi, Anjali Mohapatra, Bharatheesh Jaysimha, Eliathamby Ambikairajah, Jonathan M. Blackledge:
Information and Communication Technologies - International Conference, ICT 2010, Kochi, Kerala, India, September 7-9, 2010. Proceedings. Communications in Computer and Information Science 101, Springer 2010, ISBN 978-3-642-15765-3 [contents]
2000 – 2009
- 2009
- [b1]K. R. Venugopal, K. G. Srinivasa, Lalit M. Patnaik:
Soft Computing for Data Mining Applications. Studies in Computational Intelligence 190, Springer 2009, ISBN 978-3-642-00192-5, pp. 1-341 [contents] - [r1]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
Soft Computing for XML Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 1806-1809 - 2008
- [j7]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
A soft computing approach for data mining based query processing using rough sets and genetic algorithms. Int. J. Hybrid Intell. Syst. 5(1): 1-17 (2008) - 2007
- [j6]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines. Intell. Data Anal. 11(5): 481-496 (2007) - [j5]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
A self-adaptive migration model genetic algorithm for data mining applications. Inf. Sci. 177(20): 4295-4313 (2007) - [c13]K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik:
Data Mining based Query Processing using Rough Sets and Genetic Algorithms. CIDM 2007: 275-282 - [c12]K. G. Srinivasa, Anuj Bhatt, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik:
Selective Querying and Other Proposals for a Less Congested Gnutella Network. ICDCIT 2007: 203-208 - [c11]K. G. Srinivasa, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik:
Statistical Analysis and Compression of DNA using Weighted Probability Approach and Modified Run-Length Encoding. IICAI 2007: 1058-1070 - 2006
- [j4]K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik:
A neural network based CBIR system using STI features and relevance feedback. Intell. Data Anal. 10(2): 121-137 (2006) - [j3]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
An efficient fuzzy based neuro - genetic algorithm for stock market prediction. Int. J. Hybrid Intell. Syst. 3(2): 63-81 (2006) - [c10]K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik:
Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival. APWeb 2006: 640-651 - [c9]K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik:
Non-repetitive DNA Sequence Compression Using Memoization. ISBMDA 2006: 402-412 - 2005
- [j2]P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
Dynamic Association Rule Mining using Genetic Algorithms. Intell. Data Anal. 9(5): 439-453 (2005) - [j1]K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik:
Sagaxsearch: an Xml Information Retrieval Mechanism Using Self Adaptive Genetic Algorithms. Int. J. Comput. Intell. Appl. 5(4): 471-493 (2005) - [c8]K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik:
GaXsearch: An XML Information Retrieval Mechanism Using Genetic Algorithms. Australian Conference on Artificial Intelligence 2005: 435-444 - [c7]K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik:
Selective Dissemination of XML Documents Using GAs and SVM. CIS (1) 2005: 562-567 - [c6]K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik:
A Dynamic Migration Model for Self-adaptive Genetic Algorithms. IDEAL 2005: 555-562 - [c5]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
An Efficient Fuzzy based Neuro - Genetic Algorithm for Stock Market Prediction. IICAI 2005: 2256-2274 - [c4]K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
A Self-Adaptive Migration Model Genetic Algorithms for Data Mining Applications. IICAI 2005: 3303-3322 - 2004
- [c3]P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Thomas, K. R. Venugopal, Lalit M. Patnaik:
Mining Top - k Ranked Webpages Using Simulated Annealing and Genetic Algorithms. AACC 2004: 137-144 - 2003
- [c2]P. Deepa Shenoy, K. G. Srinivasa, M. P. Mithun, K. R. Venugopal, Lalit M. Patnaik:
Dynamic Subspace Clustering for Very Large High-Dimensional Databases. IDEAL 2003: 850-854 - [c1]P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik:
Evolutionary Approach for Mining Association Rules on Dynamic Databases. PAKDD 2003: 325-336
Coauthor Index
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last updated on 2024-12-08 02:23 CET by the dblp team
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