Mining Discriminative Itemsets in Data Streams

Author:

Seyfi Majid,Geva Shlomo,Nayak Richi

Publisher

Springer International Publishing

Reference7 articles.

1. Manku, G.S., Motwani, R.: Approximate Frequency Counts over Data Streams. In: International Confference on Very Large Data Bases, pp. 346–357 (2002)

2. Cheng, J., Ke, Y., Ng, W.: A survey on algorithms for mining frequent itemsets over data streams. Knowledge Information System 16(1), 1–27 (2007)

3. Lin, Z.H., et al.: Mining discriminative items in multiple data streams. World Wide Web-Internet and Web Information Systems 13(4), 497–522 (2010)

4. Seyfi, M.: Mining discriminative items in multiple data streams with hierarchical counters approach. In: Fourth International Workshop on Advanced Computational Intelligence (IWACI), pp. 172–176 (2011)

5. Giannella, C., et al.: Mining frequent patterns in data streams at multiple time granularities. Data Mining: Next Generation Challenges and Future Directions. AAAI/MIT (2003)

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