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Cheng et al., 2015 - Google Patents

Mining research trends with anomaly detection models: the case of social computing research

Cheng et al., 2015

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Document ID
10115296435250635893
Author
Cheng Q
Lu X
Liu Z
Huang J
Publication year
Publication venue
Scientometrics

External Links

Snippet

We proposed in this study to use anomaly detection models to discover research trends. The application was illustrated by applying a rule-based anomaly detector (WSARE), which was typically used for biosurveillance purpose, in the research trend analysis in social computing …
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Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06Q30/00—Commerce, e.g. shopping or e-commerce
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