Policy-based memoization for ILP-based concept discovery systems

Author:

Mutlu Alev,Karagoz Pinar

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Information Systems,Software

Reference77 articles.

1. Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., Verkamo, A.I. (1996). Fast discovery of association rules. In: Advances in Knowledge Discovery and Data Mining, pp. 307–328. AAAI/MIT Press.

2. Blaták, J., & Popelínskỳ, L. (2006). Drap: A framework for distributed mining first-order frequent patterns. In: Proceedings of the 16th conference on inductive logic programming, pp. 25–27.

3. Blockeel, H., Dehaspe, L., Demoen, B., Janssens, G., Vandecasteele, H. (2002). Improving the efficiency of inductive logic programming through the use of query packs. Journal of Artificial Intelligence Research, 16, 135–166.

4. Chung, S., & Luo, C. (2008). Efficient mining of maximal frequent itemsets from databases on a cluster of workstations. Knowledge and Information Systems, 16, 359–391. doi: 10.1007/s10115-007-0115-1 .

5. Cohen, W.W. (1995). Learning to classify english text with ilp methods. Advances in inductive logic programming, 32, 124–143.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Cosine Similarity-Based Pruning for Concept Discovery;Communications in Computer and Information Science;2016

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