[PDF] Top 20 Large-scale e-learning recommender system based on Spark and Hadoop
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Large-scale e-learning recommender system based on Spark and Hadoop
... developed Spark application needs two Spark APIs, which are: Spark SQL ...machine learning algorithms (Additional file ...use Spark SQL library that allows JDBC driver to easily connect ... See full document
23
Implementation of Log Based Analytical Engine using Hadoop and Spark
... :- Spark on Hadoop with in-memory data processing reduces the gap between Hadoop MapReduce and HPC for Machine ...Apache Spark on Hadoop which targets iterative algorithms through ... See full document
8
HAlign-II: efficient ultra-large multiple sequence alignment and phylogenetic tree reconstruction with distributed and parallel computing
... is based on Hadoop framework [18], exhibits better computing power and expansibility than other strategies running on a sin- gle ...Apache Spark framework works up to 100 times faster than ... See full document
10
APPLICATIONS AND FUTURE USE OF BIG DATA TOOLS IN NEW FIELDS
... decisions. Based on data of insurance of different countries comparison is made in various ...tools hadoop and spark used for analyzing the data making future perceptions and its ... See full document
8
GeoMatch:Efficient Large Scale Map Matching on Apache Spark
... Spark based frameworks rely on Spark’s Resilient Dis- tributed data set ...of Spark which solved two major Hadoop drawbacks — the limited in-memory processing and the need to write ... See full document
8
Book Recommendation System Using Apache Spark
... Algorithm based on Hadoop and Spark” paper comparison between collaborative algorithm executed on hadoop and spark is ...Apache spark is better for the recommendation ... See full document
6
Hadoop based Parallel Machine Learning Algorithms for Intrusion Detection System
... Machine Learning calculations Naive Bayes and Decision Tree for the system interruption identification ...the Hadoop Map Reduce system for parallel preparing of the bigger ...from ... See full document
5
Apache Spark
... Spark SQL was originally called as Shark. "Shark was a component of Spark, an open source, distributed and fault-tolerant, in-memory analytics system, that can be installed on the same cluster as ... See full document
47
Hadoop TS: Large Scale Time Series Processing
... of large data sets is a key ...efficiently based on MapReduce programs. Another storage system for time series data is OpenTSDB which is also build around ... See full document
8
Large Scale Cross-media Data Retrieval based on Hadoop
... CBIR system, but there are still some disadvantages of the stand-alone ...on large scale data size, the pressure of the load may be huge if all the features are stored in the stand- alone version of ... See full document
6
The MapReduce-based approach to improve the shortest path computation in large-scale road networks: the case of A* algorithm
... the Hadoop Distributed File System ...very large file of data ...file system, namespace and ...on large data sets in parallel ... See full document
24
Combination of Clustering, Classification & Association Rule based Approach for Course Recommender System in E learning
... from large data set. E-learning is the electronically learning & teaching ...Course Recommender System allows us to study the behavior of student regarding the ...Course ... See full document
8
Learning users' interests in a market based recommender system
... the learning algorithm is computing on, the recommender will fail ...the learning algo- rithm measures ...a learning technique measures with a user’s context in all possible situations, we ... See full document
7
LARGE SCALE SATELLITE IMAGE PROCESSING USING HADOOP DISTRIBUTED SYSTEM
... of large amount of images is necessary when there are satellite images ...scalable system becomes more and more ...Whole system is constructed in a Distributed HADOOP Computing ...This ... See full document
5
ASSOCIATION RULE MINING IN EDUCATIONAL RECOMMENDER SYSTEMS
... Hybrid Recommender Systems using DM techniques are recommended towards the improvement of quality and standards of education for Indian Higher Education System where merit, social, economic, family, ... See full document
15
Using Explanation Based Learning to Increase Performance in a Large Scale NL Query System
... Using Explanation Based Learning to Increase Performance in a Large Scale NL Query System Using Explanation Based Learning to Increase Performance in a Large Scale NL Query System Manny Rayner, Christ[.] ... See full document
6
A Survey on Methodologies for E-Learning Recommender System
... content based recommender system are described as follows: Yan developed SIFT [8] recommends News Article using a simple content-based text ...profile learning to recommend news along ... See full document
5
A Personalized E Learning Recommender System Using the Concept of Fuzzy Tree Matching
... types based on their application environments they are a formal setting and an informal setting ...setting e-learning system includes learning materials from educational institutions ... See full document
5
Distributed Image Processing using Different Techniques in Hadoop
... this large information have yet to ...don't scale well to web-sized issues with their massive necessities for machine resources and ...the Hadoop and MapReduce platform addresses the matter of ... See full document
7
Social learning approach in designing persuasive e-commerce recommender system model
... technical system can be designed by building upon user motivations and goals which then can influence their behaviors and ...networks. Learning can occur through the process of acquiring information from ... See full document
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