[PDF] psu.edu

[PDF][PDF] Top-Down Mining of Frequent Patterns from Very High Dimensional Data

H Liu, J Han, D Xin, Z Shao - Citeseer
Many real world applications deal with transactional data, characterized by a huge number
of transactions (tuples) with a small number of dimensions (attributes). However, there are …
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[PDF] illinois.edu

[PDF][PDF] Top-Down Mining of Frequent Patterns from Very High Dimensional Data

H Liu, J Han, D Xin, Z Shao - hanj.cs.illinois.edu
Many real world applications deal with transactional data, characterized by a huge number
of transactions (tuples) with a small number of dimensions (attributes). However, there are …
[PDF] academia.edu

[PDF][PDF] Top-Down Mining of Frequent Patterns from Very High Dimensional Data

H Liu, J Han, D Xin, Z Shao - academia.edu
Many real world applications deal with transactional data, characterized by a huge number
of transactions (tuples) with a small number of dimensions (attributes). However, there are …
[PDF] academia.edu

[PDF][PDF] Top-Down Mining of Frequent Patterns from Very High Dimensional Data

H Liu, J Han, D Xin, Z Shao - academia.edu
Many real world applications deal with transactional data, characterized by a huge number
of transactions (tuples) with a small number of dimensions (attributes). However, there are …