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Using Mahout for Clustering Wikipedia's Latest Articles: A Comparison between K-means and Fuzzy C-means in the Cloud

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What this work says

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

inferredcites →https://doi.org/10.1002/9780470061190.ch1openalex-snapshot
Fundamentals of Fuzzy Clustering
inferredcites →https://doi.org/10.1007/978-3-642-20042-7_15openalex-snapshot
Self–Organizing Map Representation for Clustering Wikipedia Search Results
inferredcites →https://doi.org/10.1007/978-90-481-3660-5_31openalex-snapshot
Fuzzy Document Clustering Approach using WordNet Lexical Categories
inferredcites →https://doi.org/10.1016/0378-3758(89)90033-5openalex-snapshot
Algorithms for clustering data
inferredcites →https://doi.org/10.1016/s0031-3203(01)00213-8openalex-snapshot
Interactive clustering and merging with a new fuzzy expected value
inferredcites →https://doi.org/10.1021/ci0342674openalex-snapshot
Clustering Files of Chemical Structures Using the Fuzzy k -Means Clustering Method
inferredcites →https://doi.org/10.1080/00401706.1990.10484648openalex-snapshot
Algorithms for Clustering Data
inferredcites →https://doi.org/10.1109/cdc.1977.271519openalex-snapshot
A theory of fuzzy clustering
inferredcites →https://doi.org/10.1109/icacc.2010.5487022openalex-snapshot
Document clustering by fuzzy c-mean algorithm
inferredcites →https://doi.org/10.1109/iccitechn.2008.4803109openalex-snapshot
Web document clustering approach using wordnet lexical categories and fuzzy clustering
inferredcites →https://doi.org/10.1109/icdm.2008.136openalex-snapshot
Using Wikipedia for Co-clustering Based Cross-Domain Text Classification
inferredcites →https://doi.org/10.1109/proc.1968.6414openalex-snapshot
State of the art in pattern recognition
inferredcites →https://doi.org/10.1109/tpami.1980.4766964openalex-snapshot
A Convergence Theorem for the Fuzzy ISODATA Clustering Algorithms
inferredcites →https://doi.org/10.1109/waina.2011.136openalex-snapshot
K-means Clustering in the Cloud -- A Mahout Test
inferredcites →https://doi.org/10.1145/1099554.1099665openalex-snapshot
Document clustering using character N-grams
inferredcites →https://doi.org/10.1145/1277741.1277909openalex-snapshot
Clustering short texts using wikipedia
inferredcites →https://doi.org/10.1145/1541880.1541884openalex-snapshot
A survey of Web clustering engines
inferredcites →https://doi.org/10.1145/584792.584890openalex-snapshot
Alternatives to the k-means algorithm that find better clusterings
inferredcites →https://doi.org/10.1348/000711005x48266openalex-snapshot
K‐means clustering: A half‐century synthesis
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm

What points at this work

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

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Hands on MAHOUT—Machine Learning Tool
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Phishing email strategies: Understanding cybercriminals' strategies of crafting phishing emails
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Enhanced Over_Sampling Techniques for Imbalanced Big Data Set Classification
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Traffic Jams Detection and Congestion Avoidance in Smart City Using Parallel K-Means Clustering Algorithm
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An Empirical Study of Big Data: Opportunities, Challenges and Technologies
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Data Clustering on Taiwan Crop Sales Under Hadoop Platform
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Mineral deposit grade assessment using a hybrid model of kriging and generalized regression neural network
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Enhancing the wine tasting experience using greedy clustering wine recommender system
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ROOTECTOR: Robust Android Rooting Detection Framework Using Machine Learning Algorithms
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Distributed Big Data Clustering using MapReduce-based Fuzzy C-Medoids
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MapReduce-based Fuzzy C-means Algorithm for Distributed Document Clustering
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Big data applications in operations/supply-chain management: A literature review
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Data-intensive applications, challenges, techniques and technologies: A survey on Big Data
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MMOEA-SP: A multistage many-objective evolutionary algorithm based on sampling points
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A Systematic Literature Review on Phishing Email Detection Using Natural Language Processing Techniques
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High quality clustering of big data and solving empty-clustering problem with an evolutionary hybrid algorithm
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Big data machine learning using apache spark MLlib
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k-Means Performance Improvements with Centroid Calculation Heuristics Both for Serial and Parallel Environments
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An Empirical Investigation of Mobile Network Traffic Data for Resource Management
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Mobile Network Traffic Prediction Using MLP, MLPWD, and SVM
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An improved Fuzzy C-Means algorithm based on MapReduce
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Secure Data Mining in Cloud Using Homomorphic Encryption
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Improved Canopy-FCM algorithm based on MapReduce
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Performance evaluation of categorizing technical support requests using advanced K-Means algorithm
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Map-Reduce (Hadoop) based Data Clustering for BigData: A Survey
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Categorizing Twitter users on the basis of their interests using Hadoop/Mahout platform
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An improved K-means algorithm using modified cosine distance measure for document clustering using Mahout with Hadoop
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Application of Improved Canopy Algorithm in Customer Clustering
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AN EFFICIENT PERFORMANCE ANALYSIS USING COLLABORATIVE RECOMMENDATION SYSTEM ON BIG DATA
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An enhanced agglomerative fuzzy k-means clustering method with mapreduce implementation on Hadoop platform
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Big data topic modeling with mahout for managing business analysis services
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Sparsity Fuzzy C-Means Clustering With Principal Component Analysis Embedding
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Research on highway passenger segmentation based on Canopy-kmeans clustering algorithm under parallel computing framework
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The Application of Big Data Mining Prediction Based on Improved K-Means Algorithm
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Parallel Streaming Signature EM-tree
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Random forest for lung cancer analysis using Apache Mahout and Hadoop based on software defined networking
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A big data methodology for categorising technical support requests using Hadoop and Mahout
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Summarizing large text collection using topic modeling and clustering based on MapReduce framework
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INTRODUCING SERENDIPITY IN RECOMMENDER SYSTEMS THROUGH COLLABORATIVE METHODS
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