Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining

@article{Bao2006MiningLA,
  title={Mining Latent Associations of Objects Using a Typed Mixture Model--A Case Study on Expert/Expertise Mining},
  author={Shenghua Bao and Yunbo Cao and Bing Liu and Yong Yu and Hang Li},
  journal={Sixth International Conference on Data Mining (ICDM'06)},
  year={2006},
  pages={803-807}
}
  • Shenghua Bao, Yunbo Cao, +2 authors Hang Li
  • Published in
    Sixth International…
    2006
  • Computer Science
  • This paper studies the problem of discovering latent associations among objects in text documents. Specifically, given two sets of objects and various types of co-occurrence data concerning the objects existing in texts, we aim to discover the hidden or latent associative relationships between the two sets of objects. Existing methods are not directly applicable as they are unable to consider all this information. For example, the probabilistic mixture model called Separable Mixture Model (SMM… CONTINUE READING

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