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Partition based clustering of large datasets using MapReduce framework: An analysis of recent themes and directions

https://doi.org/10.1016/j.fcij.2018.06.002
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-09259-1openalex-snapshot
Partitional Clustering Algorithms
inferredcites →https://doi.org/10.1007/978-3-319-09259-1_2openalex-snapshot
Accelerating Lloyd’s Algorithm for k-Means Clustering
inferredcites →https://doi.org/10.1007/978-3-662-44722-2_11openalex-snapshot
Mining Biological Data on the Cloud – A MapReduce Approach
inferredcites →https://doi.org/10.1016/j.eswa.2006.04.005openalex-snapshot
Educational data mining: A survey from 1995 to 2005
inferredcites →https://doi.org/10.1016/j.eswa.2012.02.063openalex-snapshot
Data mining techniques and applications – A decade review from 2000 to 2011
inferredcites →https://doi.org/10.1016/j.future.2017.06.010openalex-snapshot
BigFCM: Fast, precise and scalable FCM on hadoop
inferredcites →https://doi.org/10.1016/j.jbi.2006.01.003openalex-snapshot
Beyond the data deluge: Data integration and bio-ontologies
inferredcites →https://doi.org/10.1016/j.patcog.2009.10.001openalex-snapshot
A stability based validity method for fuzzy clustering
inferredcites →https://doi.org/10.1089/omi.2011.0014openalex-snapshot
Scalable Programming and Algorithms for Data-Intensive Life Science Applications
inferredcites →https://doi.org/10.1093/bib/bbn058openalex-snapshot
A roadmap of clustering algorithms: finding a match for a biomedical application
inferredcites →https://doi.org/10.1109/ccgrid.2010.10openalex-snapshot
A Map-Reduce System with an Alternate API for Multi-core Environments
inferredcites →https://doi.org/10.1109/cec.2007.4424448openalex-snapshot
Parallel PSO using MapReduce
inferredcites →https://doi.org/10.1109/cluster15157.2009openalex-snapshot
2009 IEEE International Conference on Cluster Computing and Workshops
inferredcites →https://doi.org/10.1109/clustr.2009.5289171openalex-snapshot
HPMR: Prefetching and pre-shuffling in shared MapReduce computation environment
inferredcites →https://doi.org/10.1109/clustr.2009.5289201openalex-snapshot
MITHRA: Multiple data independent tasks on a heterogeneous resource architecture
inferredcites →https://doi.org/10.1109/dinwc.2015.7054238openalex-snapshot
Parallel k-modes algorithm based on MapReduce
inferredcites →https://doi.org/10.1109/escience.2008.59openalex-snapshot
MapReduce for Data Intensive Scientific Analyses
inferredcites →https://doi.org/10.1109/escience15117.2008openalex-snapshot
2008 IEEE Fourth International Conference on eScience
inferredcites →https://doi.org/10.1109/gcc.2009.16openalex-snapshot
Spatial Queries Evaluation with MapReduce
inferredcites →https://doi.org/10.1109/gcc15971.2009openalex-snapshot
2009 Eighth International Conference on Grid and Cooperative Computing
inferredcites →https://doi.org/10.1109/hicss.2011.265openalex-snapshot
K-Means Clustering with Bagging and MapReduce
inferredcites →https://doi.org/10.1109/hicss38599.2016openalex-snapshot
2016 49th Hawaii International Conference on System Sciences (HICSS)
inferredcites →https://doi.org/10.1109/hisb.2012.8openalex-snapshot
Using MapReduce for Large-Scale Medical Image Analysis
inferredcites →https://doi.org/10.1109/hpca.2007.346181openalex-snapshot
Evaluating MapReduce for Multi-core and Multiprocessor Systems
inferredcites →https://doi.org/10.1109/hpca11989.2007openalex-snapshot
2007 IEEE 13th International Symposium on High Performance Computer Architecture
inferredcites →https://doi.org/10.1109/icccnt.2013.6726852openalex-snapshot
Verification and validation of MapReduce program model for parallel K-means algorithm on Hadoop cluster
inferredcites →https://doi.org/10.1109/icccnt31661.2013openalex-snapshot
2013 Fourth International Conference on Computing, Communications and Networking Technologies (ICCCNT)
inferredcites →https://doi.org/10.1109/iccic.2013.6724235openalex-snapshot
Applications of partition based clustering algorithms: A survey
inferredcites →https://doi.org/10.1109/iccic35811.2015openalex-snapshot
2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC)
inferredcites →https://doi.org/10.1109/icecct.2015.7226046openalex-snapshot
Modified Fuzzy K-mean clustering using MapReduce in Hadoop and cloud
inferredcites →https://doi.org/10.1109/icisa.2013.6579448openalex-snapshot
MapReduce Design of K-Means Clustering Algorithm
inferredcites →https://doi.org/10.1109/icisa30803.2013openalex-snapshot
2013 International Conference on Information Science and Applications (ICISA)
inferredcites →https://doi.org/10.1109/icsess.2014.6933652openalex-snapshot
Parallel K-Medoids clustering algorithm based on Hadoop
inferredcites →https://doi.org/10.1109/icsess35233.2015openalex-snapshot
2015 6th IEEE International Conference on Software Engineering and Service Science (ICSESS)
inferredcites →https://doi.org/10.1109/icstm.2015.7225403openalex-snapshot
Crop Selection Method to maximize crop yield rate using machine learning technique
inferredcites →https://doi.org/10.1109/icstm35750.2015openalex-snapshot
2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM)
inferredcites →https://doi.org/10.1109/ict19651.2012openalex-snapshot
2012 19th International Conference on Telecommunications (ICT)
inferredcites →https://doi.org/10.1109/ictel.2013.6632112openalex-snapshot
Medical content based image retrieval by using the Hadoop framework
inferredcites →https://doi.org/10.1109/impetus.2014.6775871openalex-snapshot
Detection and confirmation of web robot requests for cleaning the voluminous web log data
inferredcites →https://doi.org/10.1109/iscid.2008.9openalex-snapshot
Large-Scale SMS Messages Mining Based on Map-Reduce
inferredcites →https://doi.org/10.1109/iscid14337.2008openalex-snapshot
2008 International Symposium on Computational Intelligence and Design
inferredcites →https://doi.org/10.1109/isecs.2009.211openalex-snapshot
Research on the AID Measurement Based on Improved SVM Algorithm
inferredcites →https://doi.org/10.1109/isecs15228.2009openalex-snapshot
2009 Second International Symposium on Electronic Commerce and Security
inferredcites →https://doi.org/10.1109/itw.2006.1633806openalex-snapshot
Using Many Machines to Handle an Enormous Error-Correcting Code
inferredcites →https://doi.org/10.1109/msst.2010.5496972openalex-snapshot
The Hadoop Distributed File System
inferredcites →https://doi.org/10.1109/msst16492.2010openalex-snapshot
2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST)
inferredcites →https://doi.org/10.1109/tetc.2014.2330519openalex-snapshot
A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
inferredcites →https://doi.org/10.1109/tevc.2007.904627openalex-snapshot
IEEE Congress on Evolutionary Computation
inferredcites →https://doi.org/10.1109/tsmcc.2008.2007252openalex-snapshot
A Survey of Evolutionary Algorithms for Clustering
inferredcites →https://doi.org/10.1109/uksim.2014.11openalex-snapshot
Improved MapReduce k-Means Clustering Algorithm with Combiner
inferredcites →https://doi.org/10.1145/1046456.1046461openalex-snapshot
Correlating summarization of multi-source news with k-way graph bi-clustering
inferredcites →https://doi.org/10.1145/1046456.1046465openalex-snapshot
Mining semantics for large scale integration on the web
inferredcites →https://doi.org/10.1145/1247480.1247602openalex-snapshot
Map-reduce-merge
inferredcites →https://doi.org/10.1145/1272996.1273005openalex-snapshot
Dryad
inferredcites →https://doi.org/10.1145/1327452.1327492openalex-snapshot
MapReduce
inferredcites →https://doi.org/10.1145/1376616openalex-snapshot
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
inferredcites →https://doi.org/10.1145/1376616.1376726openalex-snapshot
Pig latin
inferredcites →https://doi.org/10.1145/1454115openalex-snapshot
Proceedings of the 17th international conference on Parallel architectures and compilation techniques
inferredcites →https://doi.org/10.1145/1454115.1454152openalex-snapshot
Mars
inferredcites →https://doi.org/10.1145/331499.331504openalex-snapshot
Data clustering
inferredcites →https://doi.org/10.1145/380995.381010openalex-snapshot
Distributed data clustering can be efficient and exact
inferredcites →https://doi.org/10.1155/2005/962135openalex-snapshot
Interpreting the Data: Parallel Analysis with Sawzall
inferredcites →https://doi.org/10.1155/2015/575687openalex-snapshot
Performance Comparison of OpenMP, MPI, and MapReduce in Practical Problems
inferredcites →https://doi.org/10.1177/0037549709340785openalex-snapshot
Distributed Response Time Analysis of GSPN Models with MapReduce
inferredcites →https://doi.org/10.14445/22312803/ijctt-v10p119openalex-snapshot
A Comparative study Between Fuzzy Clustering Algorithm and Hard Clustering Algorithm
inferredcites →https://doi.org/10.14569/ijacsa.2015.060828openalex-snapshot
Map Reduce: A Survey Paper on Recent Expansion
inferredcites →https://doi.org/10.14778/1687553.1687609openalex-snapshot
Hive
inferredcites →https://doi.org/10.18535/ijecs/v5i7.06openalex-snapshot
Improved Map Reduce K Mean Clustering Algorithm for Hadoop Architecture
inferredcites →https://doi.org/10.2174/157340910790980115openalex-snapshot
Advances in Cheminformatics Methodologies and Infrastructure to Support the Data Mining of Large, Heterogeneous Chemical Datasets
inferredcites →https://doi.org/10.2991/ccis-13.2013.96openalex-snapshot
A Parallel Clustering Method Study Based on MapReduce
inferredcites →https://doi.org/10.2991/isci-15.2015.29openalex-snapshot
K-means Clustering Optimization Algorithm Based on MapReduce
inferredcites →https://doi.org/10.48550/arxiv.1608.06861openalex-snapshot
Parallel K-Medoids++ Spatial Clustering Algorithm Based on MapReduce
inferredcites →https://doi.org/10.5121/csit.2011.1307openalex-snapshot
Survey of Parallel Data Processing in Context with MapReduce
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
inferredcites →https://doi.org/10.7551/mitpress/7503.003.0040openalex-snapshot
Map-Reduce for Machine Learning on Multicore
inferredcites →https://doi.org/10.9790/0661-16673740openalex-snapshot
Big Data Mining using Map Reduce: A Survey Paper

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An Iterative Model for Text Mining Using Big Data Technology
inferred← citeshttps://doi.org/10.1007/978-3-030-36056-6_10openalex-snapshot
Genetic Algorithm Based Parallel K-Means Data Clustering Algorithm Using MapReduce Programming Paradigm on Hadoop Environment (GAPKCA)
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Shipment Consolidation Using K-means and a Combined DBSCAN-KNN Approach
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Big Data and Data Science
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A Comprehensive Study of Clustering Algorithms for Big Data Mining with MapReduce Capability
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A Novel Ensemble Methodology to Validate Fuzzy Clusters of Big Data
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An Improved K Means Algorithm for Unstructured Data
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An Implementation of Text Mining Decision Feedback Model Using Hadoop MapReduce
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Anomaly Detection in Log Streams Based on Time-Contextual Models
inferred← citeshttps://doi.org/10.1007/978-981-99-4554-2_20openalex-snapshot
The Advance and Performance Analysis of MapReduce
inferred← citeshttps://doi.org/10.1007/s11227-020-03608-0openalex-snapshot
MapReduce distributed parallel computing framework for diagnosis and treatment of knee joint Kashin-Beck disease
inferred← citeshttps://doi.org/10.1007/s40031-020-00485-2openalex-snapshot
An Analysis of Distributed Document Clustering Using MapReduce Based K-Means Algorithm
inferred← citeshttps://doi.org/10.1007/s40031-021-00647-wopenalex-snapshot
Distributed Big Data Clustering using MapReduce-based Fuzzy C-Medoids
inferred← citeshttps://doi.org/10.1007/s40031-021-00651-0openalex-snapshot
MapReduce-based Fuzzy C-means Algorithm for Distributed Document Clustering
inferred← citeshttps://doi.org/10.1016/j.engappai.2022.104743openalex-snapshot
A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects
inferred← citeshttps://doi.org/10.1016/j.future.2019.09.041openalex-snapshot
Map-optimize-reduce: CAN tree assisted FP-growth algorithm for clusters based FP mining on Hadoop
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A novel Map-Scan-Reduce based density peaks clustering and privacy protection approach for large datasets
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Teeth Reconstruction Using Artificial Intelligence: Trends, Perspectives, and Prospects
inferred← citeshttps://doi.org/10.1109/conielecomp.2019.8673249openalex-snapshot
Application of data fragmentation and replication methods in the cloud: a review
inferred← citeshttps://doi.org/10.1109/iceca58529.2023.10395237openalex-snapshot
Map Reduce Based K-Means Genetic and C- Means Fuzzy Clustering Formation for Community Detection and Community Validation
inferred← citeshttps://doi.org/10.1109/icscc62041.2024.10690566openalex-snapshot
Sentiment Analysis on Filipino COVID-19 Tweets During Pandemic Period Using Modified K-Means and Ensemble Model with Supervised Machine Learning Algorithms as Base Estimators
inferred← citeshttps://doi.org/10.1109/icstcee49637.2020.9277088openalex-snapshot
Alpsoc Ant Lion: Particle Swarm Optimized Hybrid K-Medoid Clustering
inferred← citeshttps://doi.org/10.1145/3352411.3352447openalex-snapshot
Centroid 360
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Locality Sensitive Hashing Based Clustering for Large Scale Documents
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Design of Distributed Human Resource Management System of Spark Framework Based on Fuzzy Clustering
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[Retracted] Comparative Analysis of Chinese Culture and Hong Kong, Macao, and Taiwan Culture in the Field of Public Health Based on the CNN Model
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Design and Performance Evaluation of Efficient Clustering Algorithms for Big Data Applications
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Analisis Perbandingan Pengelompokan Indeks Pembangunan Manusia Indonesia Tahun 2019 dengan Metode Partitioning dan Hierarchical Clustering
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MR-BIRCH: A scalable MapReduce-based BIRCH clustering algorithm
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Building fraud monitoring systems: approaches, methods, models and their practical implementation
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MapReduce Solutions Classification by Their Implementation
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Current Status of the Use of Cloud Computing in SMEs in the City of Latacunga, Ecuador
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