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Statistical Analysis of Massive Data Streams Proceedings of a Workshop (2004) / Chapter Skim
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Pages 207-209

The Chapter Skim interface presents what we've algorithmically identified as the most significant single chunk of text within every page in the chapter.
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From page 207...
... Remember, our session hack to do with the integration of data streams. So, you can kind of Took at this in a stovepipe manner, where you look at each stream independently and somehow put them together, hoping the dependencies will come out, or you actually take into account the fact that these are temporally related streams of information and try to capture that.
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From page 208...
... Then, it was really brought out, well, maybe we are a little bit farther ahead in our thinkings because we have recognized the nowerfi~l use of hierarchical models ant!
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From page 209...
... Just one last comment. You know, we spoke at very high level and just at the end of our time -- and then we sort of ran out of time -- it was pointed out that if you really think of a data mining area and data mining problems, that there has been a lot (lone on supervised and unsupervised learning.
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Key Terms

  • hierarchical model
  • little bit
  • data streams
  • data mining
  • data stream

  • hierarchical models
  • data fusion
  • farther ahead


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