Seetha Hari
Seetha Hari
Professor and Director,AI and Robotics,COE,VIT-AP University,Near Vijayawada,Andhra Pradesh
Vahvistettu sähköpostiosoite verkkotunnuksessa vitap.ac.in
Nimike
Viittaukset
Viittaukset
Vuosi
Short term electric load prediction using Fuzzy BP
HSR Saravanan
Journal of Computing and Information Technology 15 (3), 267-282, 2007
30*2007
Modern Technologies for Big Data Classification and Clustering
S Hari, MN Murthy, BK Tripathy
IGI Global, 2017
122017
Preface to- Modern Technologies for Big Data Classification and Clustering
S Hari, MN Murthy, BK Tripathy
IGI Global, 2017
12*2017
On improving the generalization of SVM classifier
H Seetha, MN Murty, R Saravanan
Computer Networks and Intelligent Computing, 11-20, 2011
112011
Learning from Imbalance data
L Mathews, S Hari
Encyclopedia of Information Science and Technology 4, 1825-1834, 2017
102017
Effective feature selection technique for text classification
H Seetha, MN Murty, R Saravanan
International Journal of Data Mining, Modelling and Management 7 (3), 165-184, 2015
102015
Classification by majority voting in feature partitions
H Seetha, MN Murty, R Saravanan
International Journal of Information and Decision Sciences 8 (2), 109-124, 2016
72016
Pattern Synthesis Using Multiple Kernel Learning for Efficient SVM Classification
H Seetha, R Saravanan, MN Murty
Cybernetics and Information Technologies 12 (4), 77-94, 2012
52012
Uncertainty-based clustering algorithms for large data sets
BK Tripathy, H Seetha, MN Murty
Modern Technologies for Big Data Classification and Clustering, 1-33, 2018
42018
Text-based sentiment analysis
VP Lijo, H Seetha
International Journal of Knowledge and Learning 12 (1), 1-26, 2017
32017
On improving the classification of imbalanced data
LM Mathews, H Seetha
Cybernetics and Information Technologies 17 (1), 45-62, 2017
32017
A Note on the Effect of Bootstrapping and Clustering on the Generalization Performance
H Seetha, MNMurty, SaravananR
International Journal of Information Processing, 5 (4), 19-34, 2011
22011
A Generalized Machine Learning Model for DDoS Attacks Detection Using Hybrid Feature Selection and Hyperparameter Tuning
RK Batchu, H Seetha
Computer Networks, 108498, 2021
2021
Efficient Learning From Two-Class Categorical Imbalanced Healthcare Data
L Mathews, H Seetha
International Journal of Healthcare Information Systems and Informatics …, 2021
2021
A Fast Mode of Tweets Polarity Detection
VP Lijo, H Seetha
Advances in Distributed Computing and Machine Learning, 453-462, 2021
2021
Efficient Dynamic Resource Allocation in Hadoop Multiclusters for Load-Balancing Problem
H Seetha
Recent Advances in Computer Science and Communications (Formerly: Recent …, 2020
2020
Analysis of Crime Data Using Neighbourhood Rough Sets
LJ Gnanasigamani, S Hari
International Journal of Information Technology and Web Engineering (IJITWE …, 2020
2020
Single Valued Triangular Neutrosophic Fuzzy C-Means for Mr. Brain Image Segmentation
HS Anupama Namburu,Sibi Chakkaravarthy,Meenalosini Vimal Cruz
Recent Advances in Computer Based Systems, Processes and Applications …, 2020
2020
MULTI-NEURAL NETWORK MODEL FOR HANDLING REAL-TIME APPLICATIONS USING EMBEDDED HADOOP CLUSTER
S Karthikeyan, H Seetha
Journal of Critical Reviews 7 (13), 4004-4009, 2020
2020
A Large-Scale Implementation Using MapReduce-Based SVM for Tweets Sentiment Analysis
VP Lijo, H Seetha
International Conference on Intelligent Computing and Communication, 541-549, 2019
2019
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Artikkelit 1–20