Large Sparse Data Classification Task

A Large Sparse Data Classification Task is a supervised classification task that accepts a large sparse training dataset.

• Context:
  • It can range from being a Large Sparse Data Fully-Supervised Classification Task to being a Large Sparse Data Semi-Supervised Classification Task, depending on the presence of unlabeled learning records.
  • It can range from being a Large Sparse Data Ranking Supervised Classification Task to being a Large Sparse Data Probabilistic Supervised Classification Task, depending on the requirement for a probability value.
  • It can range from being a Large Sparse Data Supervised Two-Class Classification Task to being a Large Sparse Data Supervised Multi-Class Classification Task, depending on the class set size.
  • It can range from being a Large Sparse Data Univariate Supervised Classification Task to being a Large Sparse Data Multivariate Supervised Classification Task, depending on the feature set size.
  • It can range from being a Large Sparse Data Supervised One-Label Classification Task to being a Large Sparse Data Supervised Multi-Label Classification Task, depending on the number of class labels to predict.
  • It can range from being an Large Sparse Data Online Supervised Classification Task to being an Large Sparse Data Offline Supervised Classification Task, depending on the incremental availability of data.
  • It can range from being a Large Sparse Data IID Supervised Classification Task to being an Large Sparse Data Non-IID Supervised Classification Task (such as temporal supervised classification), depending on whether it receives IID data).
  • It can range from being a Large Sparse Data Model-based Supervised Classification Task to being an Large Sparse Data Model-free Supervised Classification Task, depending on the requirement of a classification model.
  • It can be solved by a Large Sparse Data Supervised Classification System and implements a Large Sparse Data Supervised Classification Algorithm.
• Example(s):
  • CTR Prediction Task (with CTR prediction data).
  • …
• Counter-Example(s):
  • Small Dense Data Classification, e.g. a Fisher's Iris class prediction task.
• See: Large Sparse Data Regression.

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