big data framework


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Machine learning big data framework and analytics for big data problems
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Generally, big data computing deals with massive and high dimensional data such as DNA microrray data , financial data , medical imagery, satellite imagery and hyperspectral imagery. Therefore, big data computing needs advanced technologies or methods to solve the issues

Double privacy layer architecture for big data framework
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Big data is an emerging and very considerable technology for gathering and analyzing a huge volume of real-time produced data efficiently and effectively, but it has also a great volume of sensitive data arising invasion of privacy. Big data analyses can give us very

Architecture framework and components for the big data ecosystem
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Big Data are becoming a new technology focus both in science and in industry and motivate technology shift to data centric architecture and operational models. There is a vital need to define the basic information/semantic models, architecture components and operational

Two Layered Privacy Architecture for Big Data Framework
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Big data is used for gathering and analyzing a huge volume of real-time produced data efficiently and effectively, but it has also a great volume of sensitive data arising invasion of privacy. Big data analysis will give us very customized and effective analysis results, but this

A framework for secure healthcare systems based on big data analytics in mobile cloud computing environments
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In this paper we introduce a framework for Healthcare Information Systems (HISs) based on big data analytics in mobile cloud computing environments. This framework provides a high level of integration, interoperability, availability and sharing of healthcare data among

Big data framework for u-Healthcare system
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Recent u-Healthcare system can measure more complicated bio signal according to both built in sensor technology and personal carrying equipments appearance. The system has been developed to analyze bio signal at anywhere and anytime. For example, there is a

Towards conceptual predictive modeling for big data framework
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Predictive modeling is the process of creating a statistical model from data with the purpose of predicting future behavior. In recent years, the amount of available data has increased exponentially and Big Data Analysis is expected to be at the core of most future

A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data .
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This paper presents a novel unifying framework of anytime sparse Gaussian process regression (SGPR) models that can produce good predictive performance fast and improve their predictive performance over time. Our proposed unifying framework reverses the

Big Data and Strategy: A research Framework .
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With big data growing rapidly in importance over the past few years, academics and practitioners have been considering the means through which they can incorporate the shifts these technologies bring into their competitive strategies. To date, there has been an

Cloud based big data analytics framework for face recognition in social networks using machine learning
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1877-0509 2015 The Authors. Published by Elsevier BV This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of scientific committee of 2nd International Symposium on Big Data and Cloud

A systems framework of big data driving policy making Melbournes water future
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This paper provides a snapshot of the integrated systems analysis of the Greater Melbourne region used to provide evidence for the Ministerial Advisory Council for the development of the Living Melbourne Living Victoria water policy and, the ultimate cabinet approval of the

Big Data Analytics Framework for Natural Disaster Management in Malaysia
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Decision making in natural disaster management has its own challenge that needs to be tackled. In times of disaster, government as a response organisation must conduct timely and accurate decisions to ensure rapid assistance and effective recovery for the victim

Handling big data stream analytics using SAMOA framework -a practical experience
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Data analytics and machine learning has always been of great importance in almost every field especially in business decision making and strategy building, in healthcare domain, in text mining and pattern identification on the web, in meteorological department, etc. The

Defining the big data architecture framework (BDAF)
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Big Data ( Data Intensive) Technologies are targeting to process (1) highvolume, high- velocity, high-variety data (sets/assets) to extract intended data value and ensure high- veracity of original data and obtained information that demand new cost-effective, innovative

A privacy framework for DNS big data applications
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In this paper, we discuss our privacy framework for applications that further increase the security and stability of the. nl domain by using DNS big data for purposes such as automatically detecting botnets in DNS traffic. Our framework is unique (1) because it

A big data framework for mining sensor data using Hadoop
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The data gathered from IOTs is considered of high business value. The IOTs devices sense the natural conditions using sensor network comprised of sensor nodes. Mining of big sensor data for useful knowledge extraction is a very challenging task. Frequent itemsets is

The impact of big data on your firms marketing communications: a framework for understanding the emerging marketing analytics industry
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This paper studies how the emergence of big data is driving the adoption of broader and increasingly sophisticated quantitative analysis techniques across media channels by large, medium and even smaller sized firms. A new ecosystem of marketing and advertising

Tweeting the Olympics: Towards a methodological framework for Big Data analysis of audience engagement during global media events
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This article explains the methodological framework created for the Tweeting the Olympics project represented in this Journal issue that can be used and adapted by other researchers in their studies of global media events. This project was a case study in the adoption of and

IoT with Big Data Framework using Machine Learning Approach
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Abstract n future IoT (Internet of Things), big data (BD) machine learning (ML) disclosure for expansive scale modern robotization application significance of mechanical internet is expanding step by step. The interconnection by means of the Internet of computing gadgets

Big data analytics with apache hadoop mapreduce framework
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Huge amount of data cannot be handled by conventional database management system. For storing, processing and accessing massive volume of data , which is possible with help of Big data . In this paper we discussed the Hadoop Distributed File System and MapReduce


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