1- An effective density-based clustering and dynamic maintenance framework for evolving medical data streams

2- RSMOTE: improving classification performance over imbalanced medical datasets

3- Fast dynamic clustering SOAP messages based compression and aggregation model for enhanced performance of Web services

4- SMCA: An efficient SOAP messages compression and aggregation technique for improving web services performance

5- A framework for clustering and dynamic maintenance of XML documents

6- A framework for processing cumulative frequency queries over medical data streams

7- LSKA-ID: A lightweight security and key agreement protocol based on an identity for vehicular communication

8- Towards Improving Data Summarisation and Their Dynamic Maintenance

9- An Incremental Ensemble Diversification in Data Stream Classification using Improved Hoeffding Trees with Thompson Sampling

10- IDRF: An Improved Dynamic Random Forest Approach for Blockchain Time Series Data Classification

11- Application of optimized Deep Learning mechanism for recognition and categorization of retinal diseases

12- A Fully Online Clustering Approach for Enhanced Performance of Health Information System

13- An Interactive and Flexible Widget-Based Whiteboard Platform for E-Learning

14- Cloud Computing Approach for ECG Diagnose Module

15- NTSOAP: A Robust Approach for Non-redundancy Tags of SOAP Messages

16- Clustering and Incremental Maintenance of Evolving Semi-Structured Data

17- Comparative Study on Classification Using Decision tree, Artificial Neural Network and Rough Set Theory

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