[PDF] Top 20 The Impact of E learning system using Rank based Clustering Algorithm (ESURBCA)
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The Impact of E learning system using Rank based Clustering Algorithm (ESURBCA)
... in e-learning environments. [15]Describes learning styles as the preferred ways through which learners interact with and process information in learning ...of learning styles were and ... See full document
6
An Intelligent Content Classification Algorithm for Effective E-Learning
... new e-learning recommendation system which recommends relevant materials for e-learning by the application of a classification algorithm based on Enhanced Multiclass SVM ... See full document
5
Adaptive E-Learning System Based On Learning Interactivity
... improved E-Learning Social Network Exploiting Approach based on clustering algorithm and graph model, which can automatically group distributed e-learners with similar interests ... See full document
7
Clustering Student's Satisfaction in Complex Adaptive Blended Learning with the Six Value System Using the K Means Algorithm
... blended learning with the six-value system in 3 (three) vocational high schools (SMK) in the City of Cirebon, West Java Province of Indonesia, a clusterization is ...to clustering with the k-means ... See full document
6
SURVEY ON STUDENT INFORMATION ANALYSIS
... improving learning experience and institutional effectiveness. The existing system at present huge amounts of data is being ...are using pre-processing tool for the analysis of student class ...By ... See full document
9
Multi Swarm Based Ensemble Clustering
... unsupervised learning, knowledge discovery, data mining, and pattern ...classification, clustering algorithms assume no explicit target outputs, labeled responses, nor known ...solely based on the ... See full document
14
Attributes of Low Performing Students In E Learning System Using Clustering Technique
... traditional learning environment and web-based educational environment has generated massive data repositories about teaching and students’ information which provides a good opportunity for data mining ... See full document
6
Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E learning
... content clustering, relying on keyword and character n-gram based clustering with different distance measures and parameter ...n-gram based clustering performs better than ... See full document
8
Clustering Over Multiple Evolving Data Streams of the Traffic Cyber-Physical Systems
... mental Clustering framework is proposed for multiple sensor data streams by low rank approximation Matrix Factorization (IC-MF), which can monitor the distribution of clusters over multiple sensor data ... See full document
16
A Self Learning Diagnosis Algorithm Based on Data Clustering
... The processes occurring in the object can be essentially nonlinear. Additionally the processes in the object can have phase transitions. For example, acoustic waves in the combustion system of the gas turbine can ... See full document
9
An Approach to Improve Quality of Document Clustering by Word Set Based Documenting Clustering Algorithm
... Document Clustering based on Word Set ...set based document clustering), a clustering algorithm work with to obtain clustering of comparable quality significantly more ... See full document
7
Analysis of E-Learning System using cloud-based Technology
... 1) Hardware resource layer is the bottom most layer in the cloud service middleware where it handles the essential computing things like physical memory and CPU for the total system. This layer is most important ... See full document
6
A New Hybrid Method for Web Pages Ranking in Search Engines
... an algorithm based on users' behavior, with the development of Firefox, records the length of time each user spends on a web page, and sends it to a ...the algorithm, to cover these weaknesses, and ... See full document
12
Local Density based Hierarchical Clustering for Overlapping Distribution using Minimum Spanning Tree
... Density and Hierarchical based approaches are adopted in the algorithm using Minimum Spanning Tree, resulting in a new algorithm – Local Density-based Hierarchical Clustering Algorithm f[r] ... See full document
5
Machine Learning Based Technique for Detection of Rank Attack in RPL based Internet of Things Networks
... Mr Vikram Neerugatti, Research Scholar, Department of Computer Science and Engineering, Sri Venkateswara University, Tirupati. Mr. Vikram Neerugatti, is Working on Internet of Things on IoT at Sri Venkateswara ... See full document
5
Data Preparation Strategy in E Learning System using Association Rule Algorithm
... examine learning processes, based on data extracted from log files, which document the learners' action within an online learning ...Web- based module, were examined and ...students' ... See full document
6
PART FAMILY FORMATION FOR RECONFIGURABLE MANUFACTURING SYSTEM CONSIDERING ALTERNATIVE OPERATION SEQUENCES.
... The problem of exceptional elements has been tackled in CMS by way of allowing intercellular movements. It decreases the machines requirement and increases the machine utilization but it also results into increased ... See full document
10
Clustering based Forgy’s Algorithm using Java
... interests. Clustering is the classification of a data set into subsets (clusters), so that the data in each subset (ideally) share some common trait - often proximity per some defined distance ... See full document
5
Study on swarm optimization clustering algorithm
... [1] Clustering analysis means dividing the data elements set reasonably according to certain classification rules in order to determine the category each element belongs ...different clustering algorithms, ... See full document
7
NUMERICAL FUNCTION OPTIMIZATION: MODEL, PROCEDURE AND USES
... Rao et al. [14] proposed recently an optimization technique that is teacher learning based optimization. This technique involves two approaches that are teachers approach and learner approach. To enhance ... See full document
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