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HCI
2011
14 years 1 months ago
Discovering Context: Classifying Tweets through a Semantic Transform Based on Wikipedia
By mapping messages into a large context, we can compute the distances between them, and then classify them. We test this conjecture on Twitter messages: Messages are mapped onto t...
Yegin Genc, Yasuaki Sakamoto, Jeffrey V. Nickerson
KDD
2003
ACM
148views Data Mining» more  KDD 2003»
15 years 10 months ago
Mining concept-drifting data streams using ensemble classifiers
Recently, mining data streams with concept drifts for actionable insights has become an important and challenging task for a wide range of applications including credit card fraud...
Haixun Wang, Wei Fan, Philip S. Yu, Jiawei Han
DIAL
2006
IEEE
126views Image Analysis» more  DIAL 2006»
15 years 4 months ago
Dedicated Texture Based Tools for Characterisation of Old Books
This paper lies on the field of ancient patrimonial books valorization: it precisely relates to the development of suitable assistance tools for humanists and historians to help t...
Nicholas Journet, Rémy Mullot, Véron...
CORR
2010
Springer
143views Education» more  CORR 2010»
14 years 10 months ago
Algorithmic Detection of Computer Generated Text
ct Computer generated academic papers have been used to expose a lack of thorough human review at several computer science conferences. We assess the problem of classifying such do...
Allen Lavoie, Mukkai Krishnamoorthy
IJSTM
2008
77views more  IJSTM 2008»
14 years 10 months ago
The internal differentiation of the KIBS sector: empirical evidence from cluster analysis
: The sector of Knowledge-Intensive Business Services (KIBS) is characterised by high rates of firm fluctuation, rapid changes in technological progress (e.g., in the software indu...
Daniel Horgos, Andreas Koch