Hierarchical Document Clustering using Frequent Itemsets
By Benjamin C. M. Fung, Ke Wang, Martin Ester. SDM, 2003
523 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Information Systems, Signal Processing
View Paper: https://www.semanticscholar.org/paper/1f6d4e6f4dbc6b7f350c76ec9b9d3de30b0a4100
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- John Shawe-Taylor
- Takahiro Hara
- Dorothea Wagner
- Diep Bich Do
- Masumi Shirakawa
- Xuemin Lin
- Shojiro Nishio
In Information Systems
- John Shawe-Taylor
- Takahiro Hara
- Diep Bich Do
- Masumi Shirakawa
- Xuemin Lin
- Shojiro Nishio
- Konstantinos Skianis
- Fragkiskos D. Malliaros
In Signal Processing
- John Shawe-Taylor
- Takahiro Hara
- Dorothea Wagner
- Diep Bich Do
- Masumi Shirakawa
- Xuemin Lin
- Shojiro Nishio
- Yuxin Peng
Citations in the corpus
- Extracting Diagnoses and Investigation Results from Unstructured Text in Electronic Health Records by Semi-Supervised Machine Learning (2012, methodology): “We converted the free text examples to lower-case and removed the word endings using the FIHC stemmer [21] before applying the S 3 CM .”
- N-gram IDF: A Global Term Weighting Scheme Based on Information Distance (2015, methodology): “In addition to the effectiveness of TF-IDF in various applications such as information retrieval [46], document clustering [14], key term extraction [19] and object matching in videos [44], many theoretical explanations [2, 20, 36, 38] encourage researchers and developers to employ TF-IDF.”
- Term Graph Model for Text Classification (2005, methodology): “We can find out several different methods and system for clustering transactions [16] and documents [2, 6].”
- Comparing Clusterings - An Overview (2007, background): “Actually, other authors, as for example Steinbach, Kapyris and Kumar in [15], or Fung in [14], refer to Larsen when introducing the F-Measure.”