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End of Sprint 5

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Collective Inteligence ,[object Object],[object Object],[object Object],[object Object],[object Object]
Progress ,[object Object]
Progress ,[object Object]
Progress ,[object Object],[object Object]
Progress ,[object Object],[object Object]
Progress ,[object Object],[object Object],Store all comparisons = 1/2 N^2
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object]
Progress ,[object Object],[object Object],[object Object]
Progress ,[object Object]
Progress ,[object Object],Which correlate well with: http://www.ient.rwth-aachen.de/~laurent/genial/benchmark_gemm_4T.html More investigation details at: http://jira.talis.com/browse/COL-5
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object]
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object]
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object]
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],A little distraction...
Progress
Progress (from van Rijsbergen, 1979) The most frequent words are not the most descriptive ,[object Object],[object Object],Be carefull, the lower discriminatory words can provide good information... (and serendipity)
Progress
Progress ,[object Object],[object Object]
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Serendipity
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Stored random 100 article sample, and comparing with all 2M others. (0.2Gb) to allow intuitative QA
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Progress DBPedia Abstracs Ops (not including algorithm cost) Regression using simple power law (P = 2.1 N = 1E0.73)
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Progress Loans Data Ops (not including algorithm cost) (proving power law linear regression prediction) Regression using simple power law (P = 3.5 N = 1E10.15)
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Progress Loans per Individual – Nice Zipf Mandelbrot curve
Progress ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Findings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],n=count - fixed f=factor - Z-M
Findings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Findings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Findings ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Proposal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Proposal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Proposal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Proposal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Quick demo
Proposal ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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End of Sprint 5

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  • 27. Progress DBPedia Abstracs Ops (not including algorithm cost) Regression using simple power law (P = 2.1 N = 1E0.73)
  • 28.
  • 29. Progress Loans Data Ops (not including algorithm cost) (proving power law linear regression prediction) Regression using simple power law (P = 3.5 N = 1E10.15)
  • 30.
  • 31. Progress Loans per Individual – Nice Zipf Mandelbrot curve
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