Big dataweb, science, mining

PHPUK Data Web Data Science Data Mining BIG BIG BIG BIG

Agenda
BIG DATA WEB
BIG DATA SCIENCE
BIG DATA MINING
SUMMARY

Web2.0 Moores Law Economics Bandwidth SOCIAL open/share

Data web Web 2.0 + mobile Cloud Computing Data Science

In practice
Existing data
Always working
Every webpage personalized

DataWeb Summary
Data - expanding fast rate
Economic free cloud
Personalization real time
Science applied to society

Data Science
What is data science?
Data lifecycle
Case studies

What is data science?
Combines three areas
Engineering
Mathematics Statistics ML
Communication
PP to infographic, product, API

Data lifecycle
Comes from?
Data conditioning
Scale
Tell a story
Intelligence

Case Studies
Range of perspectives
Cloudera
Bitly
LinkedIN
e-commerce

Cloudera
Jeff Hammerbacher
http://jeffhammerbacher.com/
Video
http://www.cloudera.com/?resource=orbitz-ideas-jeff-hammerbacher-evolving-new-analytical-platform-apache-hadoop
Enterprise side – Dataspaces

Bitly
Hilary Mason
http://www.hilarymason.com/
Video
http://www.youtube.com/watch?v=KWszSUm-x2Y
Links across lots of services

LinkedIN
Monica Rojita
http://www.linkedin.com/in/mrogati
Video
http://www.forbes.com/sites/danwoods/2011/11/27/linkedins-monica-rogati-on-what-is-a-data-scientist/
Core part of product team

e-commerce
Ebay.com keynote Saturday morning
Amazon.com - John Rauser
http://www.forbes.com/sites/danwoods/2011/10/07/amazons-john-rauser-on-what-is-a-data-scientist/
Heart of discovery- probability to purchase

Me OSDS
Vision
Wisdom of Crowds
Big made from small

Data Science Summary
Go(ing) mainstream
Wide variety applications
Curiosity gives edge

Data Mining
Types - techniques
Examples:
Statistics - Text categorisation - SOM
Summary

Types - Techniques
Granularity
WWW Blog Post Specific Sentiment

Statistics
Simple is beautiful
Real time maybe best indicator

Text Categorisation
Show me the code
Data lifecycle
Assumptions
Scaling

BIG
BIG made from small BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG BIG

SOM-Automous learning
SOM – SELF ORGANISING MAPS
Dr. Andrew Starkey – Blue Flow Ltd
Aberdeen University Spin Out
http://www.blue-flow.com/

Liverpool play in red
Liverpool have a red strip
Liverpool used to play in blue
Liverpool in a red strip
Liverpool known for their red strip
Everton play in blue
Everton have a blue strip
Everton known as the bitter blue
Everton have a horrible blue strip
Everton – don’t like their blue colour

DM summary
No one on its own but combination
Future – more human
Emergence Platform – Cloudspaces PtoP
Personal data (VRM)

PHP - dataweb
40% web CMS leading OS
40% value from data
Evolution language - LINC .net example
https://github.com/dahlia/phunctional

Summary
Data Web here
Personalised start to everything
Society science
Life = Information

Thank you
Q & A
Feedback https://joind.in/4955
http://lanyrd.com/2012/php-uk-conference/sptkm/
Contact
James Littlejohn
@aboynejames [email_address]
+44 7521580938

http://www.phpconference.co.uk	198
http://lanyrd.com	59
http://2012.phpconference.co.uk	10
http://encontrodosempreeendedores.akamido.com	9
http://www.akamido.com	3
http://tweetedtimes.com	1
http://phpconference.co.uk	1

Big dataweb, science, mining

by James Littlejohn

Accessibility

Categories

Upload Details

Usage Rights

7 Embeds 281

Statistics

Big dataweb, science, mining Presentation Transcript