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A Comprehensive Survey on Cloud Data Mining (CDM) Frameworks and Algorithms
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Software: Practice and Experience
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Iterative big data clustering algorithms: a review
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Efficient Approximation and Online Algorithms : Recent Progress on Classical Combinatorial Optimization Problems and New Applications
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Big Data Clustering: A Review
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Distributed Genetic Algorithm on GraphX
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Drifted Data Stream Clustering Based on ClusTree Algorithm
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An Ad Omnia Approach to Defining and Achieving Private Data Analysis
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Differential Privacy: A Survey of Results
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Cloud Computing: An Overview
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Parallel K-Means Clustering Based on MapReduce
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Parallel Implementation of Classification Algorithms Based on MapReduce
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CloudSVM: Training an SVM Classifier in Cloud Computing Systems
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Distributed Clustering Using Collective Principal Component Analysis
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Optimized big data K-means clustering using MapReduce
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On Density-Based Data Streams Clustering Algorithms: A Survey
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Distributed data mining and agents
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Compute and storage clouds using wide area high performance networks
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Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
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The rise of “big data” on cloud computing: Review and open research issues
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A Quantum Swarm Evolutionary Algorithm for mining association rules in large databases
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Strange Bedfellows: Quantum Mechanics and Data Mining
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Approximate Data Mining Using Sketches for Massive Data
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Sector and Sphere: the design and implementation of a high-performance data cloud
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Quantum algorithm for association rules mining
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Quantum Support Vector Machine for Big Data Classification
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Data mining in soft computing framework: a survey
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Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges
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The Strategy of Mining Association Rule Based on Cloud Computing
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Biclustering using Spark-MapReduce
inferredcites →https://doi.org/10.1109/bigdata.congress.2014.81openalex-snapshot
FSBD: A Framework for Scheduling of Big Data Mining in Cloud Computing
inferredcites →https://doi.org/10.1109/ccgrid.2012.42openalex-snapshot
Investigation of Data Locality in MapReduce
inferredcites →https://doi.org/10.1109/cloud.2012.127openalex-snapshot
Cloud Guided Stream Classification Using Class-Based Ensemble
inferredcites →https://doi.org/10.1109/cloudcom.2011.56openalex-snapshot
A Cloud Framework for Parameter Sweeping Data Mining Applications
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/comst.2018.2844341openalex-snapshot
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
inferredcites →https://doi.org/10.1109/csss.2012.440openalex-snapshot
Research on K-Means Algorithm Based on Cloud Computing
inferredcites →https://doi.org/10.1109/edcc.2015.22openalex-snapshot
Data Stream Clustering for Online Anomaly Detection in Cloud Applications
inferredcites →https://doi.org/10.1109/fccm.2012.17openalex-snapshot
Go Ahead: A Partial Reconfiguration Framework
inferredcites →https://doi.org/10.1109/hpca.2007.346181openalex-snapshot
Evaluating MapReduce for Multi-core and Multiprocessor Systems
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A survey of mass data mining based on cloud-computing
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Hadoop-HBase for large-scale data
inferredcites →https://doi.org/10.1109/icde.2001.914858openalex-snapshot
An efficient approximation scheme for data mining tasks
inferredcites →https://doi.org/10.1109/icdm.2008.142openalex-snapshot
DisCo: Distributed Co-clustering with Map-Reduce: A Case Study towards Petabyte-Scale End-to-End Mining
inferredcites →https://doi.org/10.1109/icdm.2009.14openalex-snapshot
PEGASUS: A Peta-Scale Graph Mining System Implementation and Observations
inferredcites →https://doi.org/10.1109/icdmw.2015.140openalex-snapshot
StreamDM: Advanced Data Mining in Spark Streaming
inferredcites →https://doi.org/10.1109/icdmw.2015.18openalex-snapshot
PaMPa-HD: A Parallel MapReduce-Based Frequent Pattern Miner for High-Dimensional Data
inferredcites →https://doi.org/10.1109/icmlc.2004.1382043openalex-snapshot
An improved algorithm of mining from FP-tree
inferredcites →https://doi.org/10.1109/icpads.2011.83openalex-snapshot
MR-DBSCAN: An Efficient Parallel Density-Based Clustering Algorithm Using MapReduce
inferredcites →https://doi.org/10.1109/icsess.2014.6933531openalex-snapshot
MR-Apriori: Association Rules algorithm based on MapReduce
inferredcites →https://doi.org/10.1109/ipdpsw.2016.57openalex-snapshot
A Novel Scalable DBSCAN Algorithm with Spark
inferredcites →https://doi.org/10.1109/isbim.2008.177openalex-snapshot
Research on the FP Growth Algorithm about Association Rule Mining
inferredcites →https://doi.org/10.1109/mascots.2013.9openalex-snapshot
Towards Machine Learning-Based Auto-tuning of MapReduce
inferredcites →https://doi.org/10.1109/mc.2012.33openalex-snapshot
Consistency Tradeoffs in Modern Distributed Database System Design: CAP is Only Part of the Story
inferredcites →https://doi.org/10.1109/mc.2013.162openalex-snapshot
Clouds for Scalable Big Data Analytics
inferredcites →https://doi.org/10.1109/mcse.2013.39openalex-snapshot
Cloud-Based Software Platform for Big Data Analytics in Smart Grids
inferredcites →https://doi.org/10.1109/mdm.2011.41openalex-snapshot
MD-HBase: A Scalable Multi-dimensional Data Infrastructure for Location Aware Services
inferredcites →https://doi.org/10.1109/mtags.2010.5699427openalex-snapshot
Processing massive sized graphs using Sector/Sphere
inferredcites →https://doi.org/10.1109/rteict.2016.7807935openalex-snapshot
Hadoop-HBase for finding association rules using Apriori MapReduce algorithm
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/tpds.2016.2603511openalex-snapshot
A Parallel Random Forest Algorithm for Big Data in a Spark Cloud Computing Environment
inferredcites →https://doi.org/10.1109/trustcom.2013.126openalex-snapshot
MapReduce: Limitations, Optimizations and Open Issues
inferredcites →https://doi.org/10.1109/trustcom.2013.153openalex-snapshot
SeaRum: A Cloud-Based Service for Association Rule Mining
inferredcites →https://doi.org/10.1109/waina.2011.136openalex-snapshot
K-means Clustering in the Cloud -- A Mahout Test
inferredcites →https://doi.org/10.1109/ycict.2010.5713090openalex-snapshot
Balanced parallel FP-Growth with MapReduce
inferredcites →https://doi.org/10.1142/9789812385253openalex-snapshot
Introduction to Quantum Computation and Information
inferredcites →https://doi.org/10.1145/1132952.1132955openalex-snapshot
A taxonomy of Data Grids for distributed data sharing, management, and processing
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Data mining using high performance data clouds
inferredcites →https://doi.org/10.1145/1412700.1412718openalex-snapshot
Distributed quantum computing
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Stream data clustering based on grid density and attraction
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Parallel algorithms for mining large-scale rich-media data
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How distributed data mining tasks can thrive as knowledge services
inferredcites →https://doi.org/10.1145/1807128.1807150openalex-snapshot
Towards automatic optimization of MapReduce programs
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Parallel data processing with MapReduce
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A parallel genetic algorithms framework based on Hadoop MapReduce
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A Survey of Techniques for Approximate Computing
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Mining frequent patterns without candidate generation
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Towards robust distributed systems (abstract)
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Asynchronous distributed simulation via a sequence of parallel computations
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An introduction to quantum computing for non-physicists
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IBM Bluemix Mobile Cloud Services
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Parallel Implementation of Classification Algorithms Based on Cloud Computing Environment
inferredcites →https://doi.org/10.1184/r1/6605999openalex-snapshot
GraphChi: Large-Scale Graph Computation on Just a PC
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inferredcites →https://doi.org/10.1186/s40537-014-0007-7openalex-snapshot
Deep learning applications and challenges in big data analytics
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A survey on platforms for big data analytics
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Big data analytics: a survey
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Big Data Mining: Analysis of Genetic K-Means Algorithm for Big Data Clustering
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Stream Data Mining: Platforms, Algorithms, Performance Evaluators and Research Trends
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Cloud Computing Environments Parallel Data Mining Policy Research
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A survey: classification of huge cloud Datasets with efficient Map - Reduce policy
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A distributed k-mean clustering algorithm for cloud data mining
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Application of Intelligent Data Mining Approach in Securing the Cloud Computing
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Automatic optimization for MapReduce programs
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A Survey on Clustering Techniques for Big Data Mining
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Cloud computing in data mining – a survey
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Apriori Algorithm Research Based on Map-Reduce in Cloud Computing Environments
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The Strategy of Classification Mining Based on Cloud Computing
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Fast Mining Algorithm of Association Rules Base on Cloud Computing
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Data Mining in Cloud Computing
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Hbase - non SQL Database, Performances Evaluation
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A Parallel Algorithm for Gene Expressing Data Biclustering
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Research of the FP-Growth Algorithm Based on Cloud Environments
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GraphX: Unifying Data-Parallel and Graph-Parallel Analytics
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Recent Developments in Cloud Based Systems: State of Art
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Classification Rules Mining Model with Genetic Algorithm in Cloud Computing
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An Enhanced Frequent Pattern Growth Based on MapReduce for Mining Association Rules
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CLASSIFICATION OF BIG POINT CLOUD DATA USING CLOUD COMPUTING
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Parallel FP-growth on PC cluster
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Airavat: security and privacy for MapReduce
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Improving MapReduce performance in heterogeneous environments
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Analysis of HDFS under HBase: a Facebook messages case study
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A New Approach to Web Data Mining Based on Cloud Computing
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Data Mining Using Hierarchical Agglomerative Clustering Algorithm in Distributed Cloud Computing Environment
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