High Quality, Efficient Hierarchical Document Clustering Using Closed Interesting Itemsets. - Hassan H. Malik; John R. Kender (ICDM, 2006)

Clustering web images using association rules, interestingness measures, and hypergraph partitions. - Hassan H. Malik; John R. Kender (ICWE, 2006)

Optimizing Frequency Queries for Data Mining Applications. - Hassan H. Malik; John R. Kender (ICDM, 2007)

Classifying High-Dimensional Text and Web Data Using Very Short Patterns. - Hassan H. Malik; John R. Kender (ICDM, 2008)

Hierarchical document clustering using local patterns. - Hassan H. Malik; John R. Kender; Dmitriy Fradkin; Fabian Mörchen (Data Min. Knowl. Discov., 2010)

Accurate information extraction for quantitative financial events. - Hassan H. Malik; Vikas S. Bhardwaj; Huascar Fiorletta (CIKM, 2011)

Exploring the corporate ecosystem with a semi-supervised entity graph. - Hassan H. Malik; Ian MacGillivray; Måns Olof-Ors; Siming Sun; Shailesh Saroha (CIKM, 2011)

Automatic Training Data Cleaning for Text Classification. - Hassan H. Malik; Vikas S. Bhardwaj (ICDM Workshops, 2011)

Single pass text classification by direct feature weighting. - Hassan H. Malik; Dmitriy Fradkin; Fabian Mörchen (Knowl. Inf. Syst., 2011)