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How UMass-FSD Inadvertently Leverages Temporal Bias
We show that this form of temporal bias is also applicable to other well-known First Story Detection systems, where it improves the detection accuracy.
Parameterizing Kterm Hashing
Kterm Hashing provides an innovative approach to novelty detection on massive data streams.
Spotting Rumors via Novelty Detection
Rumour detection is hard because the most accurate systems operate retrospectively, only recognizing rumours once they have collected repeated signals.
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