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57 lines
2.0 KiB
Plaintext
57 lines
2.0 KiB
Plaintext
1. Title of Database: Internet advertisements
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2. Sources:
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(a) Creator & donor: Nicholas Kushmerick <nick@ucd.ie>
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(c) Generated: April-July 1998
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3. Past Usage:
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N. Kushmerick (1999). "Learning to remove Internet advertisements",
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3rd Int Conf Autonomous Agents. Available at
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www.cs.ucd.ie/staff/nick/research/download/kushmerick-aa99.ps.gz.
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Accuracy >97% using C4.5rules in predicting whether an image is an
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advertisement.
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4. This dataset represents a set of possible advertisements on
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Internet pages. The features encode the geometry of the image (if
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available) as well as phrases occuring in the URL, the image's URL and
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alt text, the anchor text, and words occuring near the anchor text.
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The task is to predict whether an image is an advertisement ("ad") or
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not ("nonad").
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5. Number of Instances: 3279 (2821 nonads, 458 ads)
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6. Number of Attributes: 1558 (3 continous; others binary; this is the
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"STANDARD encoding" mentioned in the [Kushmerick, 99].)
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One or more of the three continous features are missing in 28%
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of the instances; missing values should be interpreted as "unknown".
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7. See [Kushmerick, 99] for details of the attributes; in
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".names" format:
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height: continuous. | possibly missing
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width: continuous. | possibly missing
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aratio: continuous. | possibly missing
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local: 0,1.
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| 457 features from url terms, each of the form "url*term1+term2...";
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| for example:
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url*images+buttons: 0,1.
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...
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| 495 features from origurl terms, in same form; for example:
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origurl*labyrinth: 0,1.
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...
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| 472 features from ancurl terms, in same form; for example:
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ancurl*search+direct: 0,1.
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...
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| 111 features from alt terms, in same form; for example:
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alt*your: 0,1.
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...
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| 19 features from caption terms
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caption*and: 0,1.
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...
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8. Missing Attribute Values: how many per each attribute?
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28% of instances are missing some of the continous attributes.
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9. Class Distribution: number of instances per class
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2821 nonads, 458 ads.
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