[PDF] Top 20 Mapreduce Programming Paradigm in Cloud Environment for Large-Scale Data Mining
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Mapreduce Programming Paradigm in Cloud Environment for Large-Scale Data Mining
... from large databases, Domingo et ...performance data cloud with design and implementation. Data mining approaches with high performance data clouds is the focus in [9] for ... See full document
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Research on Key Technology of Spatial Analysis of Large scale Geospatial Data in Cloud
... of cloud computing, principles and methods, initiate the two core concepts of Hadoop (distributed file management system (HDFS) and MapReduce programming ...collected large-scale ... See full document
9
SCALABLE PARALLEL COMPUTING ON CLOUDS: EFFICIENT AND SCALABLE ARCHITECTURES TO PERFORM PLEASINGLY PARALLEL, MAPREDUCE AND ITERATIVE DATA INTENSIVE COMPUTATIONS ON CLOUD ENVIRONMENTS
... consistent cloud services together with off‐instance cloud storage has the potential to cause significant overheads, our work in this thesis has shown that it is possible to build efficient, low overhead ... See full document
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STUDY OF DATA MINING ALGORITHM IN CLOUD COMPUTING USING MAPREDUCE FRAMEWORK
... computing environment of cloud and parallel mining algorithm, we study different mining ...the MapReduce programming model of cloud and mine large amount of ...in ... See full document
12
Adaptive-Miner: an efficient distributed association rule mining algorithm on Spark
... ing MapReduce-based ...of MapReduce using triangular ...existing MapReduce-based ...using MapReduce paradigm to explore Hadoop ...rule mining algorithm based on MapReduce ... See full document
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AN ITERATIVE GENETIC ALGORITHM BASED SOURCE CODE PLAGIARISM DETECTION APPROACH USING NCRR SIMILARITY MEASURE
... like cloud computing, virtualization and big data, MapReduce is the new programming paradigm used for processing voluminous data known as big ...data. MapReduce ... See full document
11
Dynamic File Nodes Distribution in Cloud Systems
... a large variety of problems are easily expressible as MapReduce ...example, MapReduce is used for the generation of data for Google’s production web search service, for sorting, for ... See full document
8
Scientific data mining and processing using MapReduce in cloud environments
... of data either from existing data resources or collected from physical devices ...of data-intensive computations that require enormous amounts of computational as well as storage resources and novel ... See full document
7
Securing Health Care Information By Using Two-Tier Cipher Cloud Technology
... – Cloud Computing technology is an enticing technology that provides massive computation power and storage capacity by using a large number of computers together, enables the users to deploy applications in ... See full document
5
A Peer-To-Peer based Large-Scale Data processing Using MapReduce
... The adapter includes one abstract adapter which defines the elastic transportation service interface and a collection of actual adapter components which implement such an interface through APIs offered by means of ... See full document
5
Multi-dimensional geospatial data mining in a distributed environment using MapReduce
... geospatial data mining platform based on Apache Hadoop distributed pro- cessing environment has been developed in this ...developed mining plat- form comes with a group of editing, filtering ... See full document
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MapReduce: Ordering and Large Scale Indexing on Large Clusters
... The MapReduce programming model has been successfully used at Google for many different ...a large variety of problems are easily expressible as MapReduce ...for data mining, for ... See full document
5
Scheduler for Efficient Task Assignments in Hadoop
... The MapReduce paradigm and its open source implementation Hadoop are emerging as an important standard for large scale data-intensive processing in both industry and ...A ... See full document
12
A Review on Data Mining in Cloud Computing Environment
... of cloud-based services includes a new technological preview of ...fundamental data mining tasks leveraging a cloud-based Analysis Services ...Server Data Mining without the ... See full document
5
Efficient Data Mining in SAMS through Association Rule
... usage mining, intrusion detection and ...for mining association rules [12], an important data mining problem is formulated in this ...parallel data mining [13]. Fast Distributed ... See full document
5
Optimizing Map Reduce Scheduling Using Parallel Processing Model On Data Nodes With K-Mean Clustering Algorithm In Hadoop Environment Prof. Abhishek Pandey, Ankita Malviya
... In the paper, on Efficient Clustering of High- Dimensional datasets, Andrew McCallum, Ka- mal Nigam and Lyle Ungar have explained how one can reduce the number of iterations by first partitioning the dataset into ... See full document
5
A Survey on New Approach for Integrity Checking on Cloudstorage Data
... 1.Proofs of Retrievability with Public Verifiability and Constant Communication Cost in Cloud [4], Juels et al. solve this open problem and propose the first POR scheme with public verifiability and constant ... See full document
6
An Innovative Two Step Top Down Activity for Knowledge Anonymization Utilizing MapReduce on Cloud
... Recently, data privacy preservation has been extensively investigated ...over data sets, achieving high ...anonymous data sets without the data exploration problem [2]. A data structure ... See full document
7
International Journal of Computer Science and Mobile Computing
... MapReduce paradigm is a good choice for big data processing because MapReduce handles data record by record without loading whole data into memory and in addition the program is ... See full document
5
An Improved Performance Evaluation on Large-Scale Data using MapReduce Technique
... unstructured data can be described by using the popular term called Big ...Big data analysis is the method of examining data to discover unknown relationships, hidden patterns and other useful ... See full document
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