Publications Related to Data Mining

Building Multiclass Classifiers for Remote Homology Detection and Fold Recognition. Huzefa Rangwala and George Karypis. BMC Bioinformatics, Jan 15;23(2):e17-23., 2006.

Acyclic Subgraph-based Descriptor Spaces for Chemical Compound Retrieval and Classification. Nikil Wale and George Karypis. IEEE International Conference on Data Mining (ICDM), 2006.

Protein Structure Prediction using String Kernels. Huzefa Rangwala, Kevin DeRonne, and George Karypis. UMN CSE 06-005, 2006.

On efficiently summarizing categorical databases. Jianyong Wang and George Karypis. Knowledge and Information Systems, vol. 9, no. 1, 2006.

YASSPP: Better Kernels and Coding Schemes Lead to Improvements in SVM-basedSecondary Structure Prediction. George Karypis. PROTEINS: Structure, Function, and Bioinformatics, 2006.

Hierarchical Clustering Algorithms for Document Datasets. Ying Zhao and George Karypis. Data Mining and Knowledge Discovery, Vol. 10, No. 2, pp. 141 - 168, 2005.

Finding Frequent Patterns in a Large Sparse Graph. Michihiro Kuramochi and George Karypis. Data Mining and Knowledge Discovery, 11(3): 243-271, 2005.

Effective Document Clustering for Large Heterogeneous Law Firm Collections. Jack G. Conrad, Khalid Al-Kofahi, Ying Zhao, and George Karypis. 10th International Conference on Artificial Intelligence and Law (ICAIL), pp. 177-187, 2005.

HARMONY: Efficiently Mining the Best Rules for Classification. Jianyong Wang and George Karypis. SIAM International Conference on Data Mining, pp. 205--216, 2005.

Topic-Driven Clustering for Document Datasets. Ying Zhao and George Karypis. SIAM International Conference on Data Mining, pp. 358-369, 2005.

Profile Based Direct Kernels for Remote Homology Detection and Fold Recognition. Huzefa Rangwala and George Karypis. Bioinformatics, Vol. 31, No. 23, pp. 4239 - 4247, 2005.

Data Clustering in Life Sciences. Ying Zhao and George Karypis. Molecular Biotechnology, 31(1), pp. 55--80, 2005.