ANALYTIC IN BIG DATA
Big Data Analytic Paradigms-From PCA to Deep Learning
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Abstract Large sets of data (numerical, textural and image) have been accumulating in all aspects of our lives for a long time. Advances in sensor technology, the Internet, social networks, wireless communication, and inexpensive memory have all contributed to an
Big Data Analytic and Mining with Machine Learning Algorithm
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Abstract Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering
Sipresk: A Big Data Analytic Platform for Smart Transportation
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Abstract. In this paper, we propose a platform for performing analytics on urban transportation data to gain insights into traffic patterns. The platform consists of data, analytics and management layers and it can be leveraged by overlay traffic-related
Big Data Analytic Application Framework for Malaysian Palm Oil Industry
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Abstract:Big Data is a practice of collecting and processing large amount of data and always associated with analyzing these data. It also involves new approaches that are different than conventional information technology. Companies and business
Big Data Analytic and Visualization On Mobile Devices
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Abstract:This paper presents an Android Application that can be used by the higher level management, staff, salesman etc in their mobile phones and tablets. It gives the organization an analytical view in the form of Charts (Area Chart, Bar Chart, D3 Chart, Google Maps etc Abstract:We study the two approaches, rHadoop and H2O, to intergate R, a popular statistical programming environment, into the Hadoop Big Data ecosystem. Using these approaches and the vanilla implementation of MapReduce to implement the solution to an
A Multi-Dimensional Analytic Method of Lightning Locating Big Data
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ABSTRACT: Based on Lightning Locating System (LLS) data of China Guangxi region (east longitude 104.5~ 112.1, north latitude 21~ 26.5) from 2009 to 2012, the lightning distribution law is mined. A big data of Cloud-to-Ground (CG) lightning was recorded by Guangxi LLS,
MERRA Analytic Services: Meeting the Big Data challenges of climate
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60 The termBig Data is used to describe data sets that are too 61 large and complex to be worked with using commonly-available 62 tools. Climate science represents 63 a Big Data domain that is experiencing unprecedented growth 64
Big Data Analytic using Map/Reduce and other Paradigms
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ABSTRACT Big data analytics has become possible due to the convergence of many technologies such as server farms, new paradigms for processing data in massively parallel ways (eg, Map/reduce), as well as the ability to process unstructured data. This has
Big Data Analytic Using Cloud Computing
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In the past 40 years, data was mainly used to record and report business activities and scientific dealings, and in the next 40 years data will be used also to influence business decisions and to speed up scientific discovery. Every day, we create 2.5 quintillion bytes of
analytic on banking using Big Data
Business Intelligence and Analytics: From Big Data to Big Impact.
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Various analytical techniques have also been developed for product recommender systems, such as associationwould not otherwise be possible; encourage the development of new data analytic tools andIt also offers various open source data processing and analytics tools.
Privacy by design in the age of big data
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in an anonymized form that nevertheless yields materially similar results when subject to advanced analytics. Reduction of risk without a material change in analytic results makes for a very
The age of big data
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firm, projected that the United States needs 140,000 to 190,000 more workers with deep analytical expertise andthat is unfair or discriminatory, based on online searches, affecting the products, bank loans and health
The digital universe in 2020: Big data, bigger digital shadows, and biggest growth in the far east
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reports/expandingFirst, while the portion of the digital universe holding potential analytic value is growing, only a"Candidates for Big Data" illustrates the opportunity for Big Data analytics in
Clouds, big data, and smart assets: Ten tech-enabled business trends to watch
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Analytics at WorkUsing experimentation and big data as essential components of management decision making requires And powerful analytic software that improves logistics and routing for planes, trains, and It is basically opened, shared and published to be accessible to any amateur analyst.Organization gives government the physical ability to act directly, using its own forces rather than Nodality woks on your knowledge and attitudes, 'treasure' on your bank balance, 'authority' on
Thebig data revolution in healthcare
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of user sophistication, CMS created the Office of Information Products and Data Analytics to overseeIn 2011, AstraZeneca established a four-year partnership with WellPoint's data/analytic subsidiary HealthCorethe data; this is a personal revolution as much as an analytical one
Architecting a big data platform for analytics
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31 IBM DB2 Analytic Accelerator (IDAAArchitecting a Big Data Platform for Analyticsfrom live data streams in real time to huge amounts of unstructured content has made many businesses realise that they are now in an era where the spectrum of analytical workloads is
Big data in big companies
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cases these central services organizations are aligned in big data initiatives with analytically-oriented functionsSome of these business units have IT or analytics groups of their own.of these large firms are augmenting or trying to augment their existing analytical staffs
The big-data revolution in US health care: Accelerating value and innovation
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the health-care industry has lagged behind sectors like retail and banking in theAstraZeneca established a four-year partnership with WellPoint's data and analytics subsidiary, HealthCore US health-care data apps from top innovators,1 by type of data/analytic capability, 2010
Big Data Governance
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Tellercounter at the Queensland National Bank, Brisbane, 1922 via Wikimedia Commons Use of Social Media Data in BankingCreditstructured data Analytics team used text analytics from discharge summaries, echo cardiograms,
Making sense of NoSQL
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Relational Analytical (OLAP) Key-Value Column-FamilyKeywords and Node IDsKeywords in the reverse index are now associated with the node-id in every documentStart Finish Using the Wrong Architecture Credit:MN Office of the Revisor
The future revolution on big data
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Big Data: Hadoop, Business Analytics The old way traditionally, data processing for analytic purposes followed aFigure 6 Data Processing and AnalyticsData: Comparing Value Propositions Categorizing Big Data Processing SystemsThe New Analytical Ecosystem: Making
What leading banks are learning about big databases and marketing
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varies from market to market, it is true to say that most bankers' business isdata Some banks have been seduced by the most elaborate (and expensive) analytical techniques, whichBank executives should decide what they expect to find, then conduct analysis to confirm and/or
Competing on analytics
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Analytic HR strategies are taking hold in European soccer as wellspecial- ized skill set, as you can see from this job de- scription (typical for a Capital One analyst): High conceptualIn fact, analytical talent may be to the early 2000s what programming talent was to the late 1990s
Big Data in Healthcare Hype and Hope
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she worked on Wall Street as a buy-side and sell-side equity research analyst.The predictive value of analytic tools will not be realized if the data sets beingguide them to more sustainable business models such as expanding into wellness management, data analytics and API
Data analytics: Hyped up aspirations or true potential
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b) Analytically-abled banks use analytics to segment customers on the basis of risk profilesings or improved profitability which is directly related to the establishment of analytic prowess inate the prospect of combining this new data source with traditional analytical processes to
Competing on talent analytics
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Google, PG, Royal Bank of Scot- land, Intel, and Tesco have all established HR analytics groups to get deeper insights into their people practices. The best analysts can persuade managers to adopt analytical decision making.
Federated data warehouse architecture
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Each acquisition brings in a big information bank along with it but the biggestA big organization has regional data warehouses for regional analytical requirements and a global datastores data which is mostly summarized for the purpose of corporate analytics and reference
The wisdom of the cloud: Hyper-connectivity, big data, and real-time analytics
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Today, a business analyst, corporate controller, or divisional vice president cannot wait for weeks orrisk, customer insight, and finance systems the bank built a next- generation analytical risk and3 Harvard Business Review Analytic Services
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