Data Mining
Here is a list of publications that are related to our data mining research.
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ClustKNN: A Highly Scalable Hybrid Model- and Memory-Based CF Algorithm.
Al Mamunur Rashid, Shyong K. Lam, George Karypis, and John Riedl. WEBKDD, 2006.
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Coherent Closed Quasi-Clique Discovery from Large Dense Graph Databases.
Zhiping Zeng, Jianyong Wang, Lizhu Zhou, and George Karypis. 12th International Conference on Knowledge and Data Discovery (KDD), 2006.
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On Mining Instance-Centric Classification Rules.
Jianyong Wang and George Karypis. IEEE Transactions on Knowledge and Data Enigneering, 2006.
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Building Multiclass Classifiers for Remote Homology Detection and Fold Recognition.
Huzefa Rangwala and George Karypis. BMC Bioinformatics, Jan 15;23(2):e17-23., 2006.
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Protein Structure Prediction using String Kernels.
Huzefa Rangwala, Kevin DeRonne, and George Karypis. UMN CSE 06-005, 2006.
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On efficiently summarizing categorical databases.
Jianyong Wang and George Karypis. Knowledge and Information Systems, vol. 9, no. 1, 2006.
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Hierarchical Clustering Algorithms for Document Datasets.
Ying Zhao and George Karypis. Data Mining and Knowledge Discovery, Vol. 10, No. 2, pp. 141 - 168, 2005.
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Finding Frequent Patterns in a Large Sparse Graph.
Michihiro Kuramochi and George Karypis. Data Mining and Knowledge Discovery, 11(3): 243-271, 2005.
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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.
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HARMONY: Efficiently Mining the Best Rules for Classification.
Jianyong Wang and George Karypis. SIAM International Conference on Data Mining, pp. 205--216, 2005.
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