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large-scale data sets

Secure and privacy of large data using map reduction for anonymize large-scale data sets in cloud

Secure and privacy of large data using map reduction for anonymize large-scale data sets in cloud

... A large number of cloud services require users to share private data like electronic health records for data analysis or mining, bringing privacy ...Anonymizing data sets via ...

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An Innovative Two Step Top Down Activity for Knowledge Anonymization Utilizing MapReduce on Cloud

An Innovative Two Step Top Down Activity for Knowledge Anonymization Utilizing MapReduce on Cloud

... the scale of data in many cloud applications increases tremendously in accordance with the Big Data trend, thereby making it a challenge for commonly used software tools to capture, manage, and ...

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													Opportunity and challenge on face recognition: generic-to-specific feature representation and recognition strategy

1. Opportunity and challenge on face recognition: generic-to-specific feature representation and recognition strategy

... at large -scale data-sets (in the order of 1 million ...public large-scale data ...on data taken in controlled environment and the number of relatively small ...

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A Survey on Cabinet Tree Based Approach to Approach Visualizing and Exploring Big Data

A Survey on Cabinet Tree Based Approach to Approach Visualizing and Exploring Big Data

... of data has been an integral part of scientific research from the earliest times, with visual representations of data appearing in scientific literature from as early as the 10th century (Friendly, ...for ...

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Analysis of large data sets using formal concept lattices

Analysis of large data sets using formal concept lattices

... emerging data tech- nology that has applications in the visual analysis of large-scale ...However, data sets are often too large (or contain too many formal con- cepts) for the ...

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Large Scale Data Munging using SparkR

Large Scale Data Munging using SparkR

... of data sets that were viable to process in a reasonable amount of time were on the order of ‘petabytes' of ...of data generated by Large Hadron Collider experiments in CERN, there are 100 ...

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A Cloud Business Intelligence System for Visual Analytics with Big Data

A Cloud Business Intelligence System for Visual Analytics with Big Data

... Big data has become one of new research ...big data is a collection of a large-scale and complex data sets that it becomes more difficult to process using current database ...

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Strategies for MCR image analysis of large hyperspectral data sets

Strategies for MCR image analysis of large hyperspectral data sets

... ToF-SIMS data analysis, certain systems such as microarrays can still pose a challenge because of the number of separate samples (spots) involved and/or because it is desirable to analyse mm-scale ...

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Efficient Route Query Processing with Arbitrary Order Constraints Providing Optimal Solution

Efficient Route Query Processing with Arbitrary Order Constraints Providing Optimal Solution

... In the proposed system, extensive experiment is done using large-scale real data sets and synthetic data sets.This confirm that the proposed method is efficient and practical.In optimal ...

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Challenges and Security Issues in Big Data Analysis

Challenges and Security Issues in Big Data Analysis

... Big data is a term for massive data sets having large, more varied and complex structure with the difficulties of storing, analyzing and visualizing for further processes or ...of data ...

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Detecting Sources of Transcriptional Heterogeneity in Large-Scale RNA-Seq Data Sets

Detecting Sources of Transcriptional Heterogeneity in Large-Scale RNA-Seq Data Sets

... In an effort to speed up the process of classification, we trimmed each feature list before classification to the top 1% of genes that separated the 80% randomly selected training samples using a Mann–Whitney U-test. ...

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Privacy Preserving Data Analytics using Cryptographic Technique for Large Data Sets

Privacy Preserving Data Analytics using Cryptographic Technique for Large Data Sets

... of large data so security is becoming the major weakness in hadoop ...store data, Hadoop Distributed File System(HDFS) and MapReduce are the file system of hadoop in which it stores large ...

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Improve performance of Interactive Visualization for Large Scale Big Data Networks

Improve performance of Interactive Visualization for Large Scale Big Data Networks

... Abstract :- In this particular thesis, we are providing statistical modelling of a big data network. We are exploring the properties of the network like node degree distribution and coefficient of cluster for the ...

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Modelling Structures in Data Mining Techniques

Modelling Structures in Data Mining Techniques

... to data mining and analysis of “big data”. Although “big data” is a new buzzword, techniques related to analysis of data in huge volumes is becoming more of a ...traditional data ...

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Large Scale Data Handling in Biology - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

Large Scale Data Handling in Biology - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials

... and data pipelines. Data pipelining is a relatively simple ...of data types and their ...accept data of a specific type such as those provided by another ...

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Parallel Computing for Mixed-Stable Modelling of Large Data Sets

Parallel Computing for Mixed-Stable Modelling of Large Data Sets

... of large data ...index data are used as empirical data in this ...for large amounts of data and promotes a wider use of stable modelling for the statistical data ...

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Precision-Recall versus Accuracy and the Role of Large Data Sets

Precision-Recall versus Accuracy and the Role of Large Data Sets

... The answer, of course, is that accuracy is not the key mea- sure in this case. Let us simply focus on the question of whether or not it is appropriate to use a given word in a sen- tence of the translated document, ...

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Disinformative data in large scale hydrological modelling

Disinformative data in large scale hydrological modelling

... calibration data inde- pendent of a specific model, which hampers comparisons of results from different ...of data quality and, especially, possible in- consistencies between ...of large-scale ...

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INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets

INTERPRETOR: A Software Architecture for the Interpretation of Large and Noisy Data Sets

... A non-hierarchical architecture is SIMON [5]. SI- MON (Signal Interpretation and MONitoring) is a sys- tem for monitoring neonates in the ICU. SIMON con- sists of a number of modules implemented as indepen- dent UNIX ...

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The compression–error trade-off for large gridded data sets

The compression–error trade-off for large gridded data sets

... a large data set must be stored, then we recommend that the standard deflate and shuffle methods be ...data sets. Beyond this, if further sav- ings are required and if the data need not ...

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