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Big dataweb, science, mining

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Big dataweb, science, mining

  1. PHPUK Data Web Data Science Data Mining BIG BIG BIG BIG
  2. Agenda <ul><li>BIG DATA WEB
  3. BIG DATA SCIENCE
  4. BIG DATA MINING
  5. SUMMARY </li></ul>
  6. com
  7. Web2.0 Moores Law Economics Bandwidth SOCIAL open/share
  8.  
  9. Data web Web 2.0 + mobile Cloud Computing Data Science
  10. In practice <ul><li>Existing data
  11. Always working
  12. Every webpage personalized </li></ul>
  13. DataWeb Summary <ul><li>Data - expanding fast rate
  14. Economic free cloud
  15. Personalization real time
  16. Science applied to society </li></ul>
  17. Data Science <ul><li>What is data science?
  18. Data lifecycle
  19. Case studies </li></ul>
  20. What is data science? <ul><li>Combines three areas
  21. Engineering
  22. Mathematics Statistics ML
  23. Communication </li><ul><ul><li>PP to infographic, product, API </li></ul></ul></ul>
  24. Data lifecycle <ul><li>Comes from? </li></ul><ul><li>Data conditioning </li></ul><ul><li>Scale </li></ul><ul><li>Tell a story </li></ul><ul><li>Intelligence </li></ul>
  25. Case Studies <ul><li>Range of perspectives
  26. Cloudera
  27. Bitly
  28. LinkedIN
  29. e-commerce </li></ul>
  30. Cloudera <ul><li>Jeff Hammerbacher
  31. http://jeffhammerbacher.com/
  32. Video
  33. http://www.cloudera.com/?resource=orbitz-ideas-jeff-hammerbacher-evolving-new-analytical-platform-apache-hadoop
  34. Enterprise side – Dataspaces </li></ul>
  35. Bitly <ul><li>Hilary Mason
  36. http://www.hilarymason.com/
  37. Video
  38. http://www.youtube.com/watch?v=KWszSUm-x2Y
  39. Links across lots of services </li></ul>
  40. LinkedIN <ul><li>Monica Rojita
  41. http://www.linkedin.com/in/mrogati
  42. Video
  43. http://www.forbes.com/sites/danwoods/2011/11/27/linkedins-monica-rogati-on-what-is-a-data-scientist/
  44. Core part of product team </li></ul>
  45. e-commerce <ul><li>Ebay.com keynote Saturday morning
  46. Amazon.com - John Rauser
  47. http://www.forbes.com/sites/danwoods/2011/10/07/amazons-john-rauser-on-what-is-a-data-scientist/
  48. Heart of discovery- probability to purchase </li></ul>
  49. Me OSDS <ul><li>Vision
  50. Wisdom of Crowds
  51. Big made from small </li></ul>
  52. Data Science Summary <ul><li>Go(ing) mainstream
  53. Wide variety applications
  54. Curiosity gives edge </li></ul>
  55. Data Mining <ul><li>Types - techniques
  56. Examples: </li><ul><li>Statistics - Text categorisation - SOM </li></ul><li>Summary </li></ul>
  57. Types - Techniques <ul><li>Granularity </li></ul>WWW Blog Post Specific Sentiment
  58. Statistics <ul><li>Simple is beautiful
  59. Real time maybe best indicator </li></ul>
  60. Text Categorisation <ul><li>Show me the code
  61. Data lifecycle
  62. Assumptions
  63. Scaling </li></ul>
  64.  
  65.  
  66.  
  67. <ul><li>BIG </li></ul>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
  68. SOM-Automous learning <ul><li>SOM – SELF ORGANISING MAPS
  69. Dr. Andrew Starkey – Blue Flow Ltd
  70. Aberdeen University Spin Out
  71. http://www.blue-flow.com/ </li></ul>
  72. <ul>Liverpool play in red </ul><ul>Liverpool have a red strip </ul><ul>Liverpool used to play in blue </ul><ul>Liverpool in a red strip </ul><ul>Liverpool known for their red strip </ul><ul>Everton play in blue </ul><ul>Everton have a blue strip </ul><ul>Everton known as the bitter blue </ul><ul>Everton have a horrible blue strip </ul><ul>Everton – don’t like their blue colour </ul>
  73.  
  74.  
  75.  
  76. DM summary <ul><li>No one on its own but combination
  77. Future – more human
  78. Emergence Platform – Cloudspaces PtoP
  79. Personal data (VRM) </li></ul>
  80. PHP - dataweb <ul><li>40% web CMS leading OS
  81. 40% value from data
  82. Evolution language - LINC .net example
  83. https://github.com/dahlia/phunctional </li></ul>
  84. Summary <ul><li>Data Web here
  85. Personalised start to everything
  86. Society science
  87. Life = Information </li></ul>
  88. Thank you <ul><li>Q & A
  89. Feedback https://joind.in/4955
  90. http://lanyrd.com/2012/php-uk-conference/sptkm/
  91. Contact
  92. James Littlejohn
  93. @aboynejames [email_address]
  94. +44 7521580938 </li></ul>

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