Big Data

Group C: Wei Luo,JunHao Min,ZhiXiang Guo

JiaQiang Dong,Hui Huang

WHUT

What is Big Data we are a part of it every day

What Does Big Data Look Like

In Practice

Cloud or in-house? Big data is big Big data is messy Culture

appdomain of big data

Internet domain Weather domain Telecommunication domain Medical domain Demographics domain Financial domain Application Which use the technology of

big data benefit to us

Automotive Data warehouse optimization Predictive asset optimization Connected vehicle Actionable customer insight

Telecommunications active call center Smarter campaigns Network analytics Location-based services

Banking Optimize offers and cross sell Contact center efficiency and problem

resolution Payment fraud detection and

investigation Counterparty credit risk management

Insurance Create a customer-focused enterprise Optimize enterprise risk management Optimize multi-channel interaction Increase flexibility and streamline

operations

Consumer Products Optimized promotions effectiveness

Micro-market campaign management

Real-time demand forecast

Oil & Gas Advanced condition monitoring

Drilling surveillance & optimization

Production surveillance & optimization

Energy and Utilities Distribution load forecasting and scheduling Create targeted customer offerings Condition-based maintenance Enable customer energy management Smart meter analytics

Government Threat prediction and prevention Social program fraud, waste and errors Tax compliance - fraud and abuse Crime prediction and prevention

Healthcare Measure and act on population health Engage consumers in their healthcare Health monitoring and intervention

Travel & Transportation Customer analytics and loyalty marketing Capacity & pricing optimization Predictive maintenance optimization

Technologies Machine learning Machine learning, a branch of artificial intelligence, concerns the �

construction and study of systems that can learn from data. For example, a machine learning system could be trained on email messages to learn to distinguish between spam and non-spam messages. After learning, it can then be used to classify new emailmessages into spam and non-spam folders

Tom M. Mitchell provided a widely quoted, more formal definition: "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E".

Machine learning algorithms can be organized into a taxonomy based on the desired outcome of the algorithm or the type of input available during training the machine

Technologies

Decision tree learning A tree showing survival of

passengers on the Titanic ("sibsp" is the number of spouses or siblings aboard). The figures under the leaves show the probability of survival and the percentage of observations in the leaf.

Technologies

Natural language processing Natural language processing (NLP) is a field of computer science artificial

intelligence and linguistics concerned with the interactions between computers and human (natural) languages 。

Technologies

terminology

Technologies

Cluster analysis The result of a cluster analysis shown as the coloring

of the squares into three clusters.

Technologies

The trends of big data Rapid Growth

The trends of big data Big Data Is The Big Opportunity

The trends of big dataQ

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f Pati

ent

Care

Legacy System &Traditional Data

New System & Big Data

TreatmentPathways On

Summary Data

TreatmentPathways

OnAll The Data

Social & Economic Factors

InternationalResults

IndividualPatient History

Deliver Better Healthcare With Big Data

Challenges ahead

Invade User's privacy Real time is a real problem The Missing Skills triangle Easy-to-use big data tools infancy

Challenges ahead Invade User's privacy

Real time is a real problem

Challenges ahead

Computer Sciences

Statistics

Business

Data Sciences

Challenges ahead

The Missing Skills triangle

Easy-to-use big data tools infancy

Challenges ahead

Conclusions Big data is a Phenomena,is a Methodology. Big data might be a Challenge,but also is a Chance

Thanks...