Co-Occurrence Pattern

A Co-Occurrence Pattern is a data pattern based on co-occurrence statistics.

• Example(s):
  • Word Co-Occurrence Pattern.
  • Citation Co-Occurrence Pattern.
  • an Association Rule.
• See: Co-Occurrence Matrix, Frequent Pattern, Distributional Word Vector, n-Gram Model.

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References

1999

• (Joachims, 1999b) ⇒ Thorsten Joachims. (1999). “Transductive Inference for Text Classification using Support Vector Machines.” In: Proceedings of the International Conference on Machine Learning (ICML 1999).
  • QUOTE: Figure 3: Example of a text classification problem with co-occurrence pattern. Rows correspond to documents, columns to words. A table entry of 1 denotes the occurrence of a word in a document. But how can TSVMs be any better? In the field of information retrieval it is well known that words in natural language occur in strong co-occurrence patterns (see van Rijsbergen, 1977). Some words are likely to occur together in one document, others are not. … Many approaches in information retrieval try to exploit this cluster structure of text (see van Rijsbergen, 1977). And it is this co-occurrence information that TSVMs exploit as prior knowledge about the learning task.

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