Summarizing Data Stream's History
author:
Baptiste Csernel,
France Telecom
Description
This article presents data mining algorithms whose goal is
to build summaries designed to summarize the whole history of one or
several data streams so that selected parts of that history may be studied
later.
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| Slides | |
| 0:00 | Summarizing Data Stream's History |
| 0:17 | Plan |
| 0:48 | Definition of a data stream |
| 1:44 | Definition of a Data Stream Summary |
| 2:31 | Motivation |
| 4:43 | Existing Summary Methods |
| 6:45 | StreamSamp : Single Stream Summary |
| 7:05 | Algorithm (1/3) (Online component) |
| 7:48 | Algorithm (2/3) (Online component) |
| 9:20 | Algorithm (3/3) (Online component) |
| 10:25 | Method Evaluation |
| 11:10 | Artificial Dataset (1) |
| 12:09 | Artificial Dataset (2) |
| 13:32 | KDD 98 Charitable Donation Dataset (1) |
| 14:12 | KDD 98 Charitable Donation Dataset (2) |
| 14:56 | KDD 99 Network Intrusion Dataset |
| 15:38 | Result Scores for Various Chunks of the Stream |
| 17:17 | Result Curve for an Increasing Quantity of Stream Data Starting with the First Element |
| 18:23 | Result Curve for an Increasing Quantity of Stream Data Starting with the Last Element |
| 19:01 | Result Curve for Stream Processing Speed |
| 20:19 | CrossStream : Relational Stream Summary |
| 21:03 | Motivation |
| 22:39 | Problematic |
| 24:58 | Goal |
| 25:26 | Useful Tools |
| 27:18 | Bloom Filters (Bloom 1970) (1/3) |
| 27:48 | Bloom Filters (Bloom 1970) (2/3) |
| 29:11 | Bloom Filters (Bloom 1970) (3/3) |
| 30:46 | Method Presentation |
| 30:55 | System Overview |
| 31:45 | Entity Summary |
| 33:48 | Relation Summary (1) |
| 37:06 | Relation Summary (2) |
| 37:15 | Bloom Filters (Bloom 1970) (3/3) |
| 37:29 | Relation Summary (2) |
| 38:27 | Storage Management |
| 40:23 | Method Evaluation |
| 40:46 | Performance Evaluation |
| 42:18 | Simple Static Dataset |
| 42:51 | Simple Relational Data Structure |
| 43:37 | Numerical Values (1) |
| 43:54 | Numerical Values (2) |
| 45:20 | Numerical Values (1) |
| 45:23 | Numerical Values (2) |
| 45:42 | Numerical Values (3) |
| 46:20 | Complex Static Dataset |
| 46:48 | Complex Relational Data Structure (1) |
| 47:10 | Complex Relational Data Structure (2) |
| 49:01 | Conclusion and Perspective |
| 53:33 | - Questions |
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