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Statistical Analysis of Massive Data Streams Proceedings of a Workshop (2004) / Chapter Skim
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Pages 318-319

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
Select key terms on the right to highlight them within pages of the chapter.


From page 318...
... Models are contained in a special Modeling Rule that acts as a manager and container for multiple models. When a Modeling Rule is inserted into a rule chain it will spawn capture models into the associated data nodes of the tree as they are created.
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From page 319...
... Defining conventions, like the matrix form above, has allowed us to create additional functionality such as model aggregation mentioned in the following. The most common capture models include log distributions, linear distributions, TopN, History (time series)
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Key Terms

  • capture models
  • capture model
  • rule engine
  • data structure
  • time series

  • rule chain
  • model aggregation
  • input streams
  • empirical distribution
  • capacity planning

  • stream processing
  • input stream
  • reference data
  • attribute value
  • tree structure

  • attribute values
  • actual data
  • associated data
  • distribution capture


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