[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Orthogonal nonnegative matrix t-factorizations for clustering

[ACM Press the 12th ACM SIGKDD internati

[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Evolutionary clustering

✍ Chakrabarti, Deepayan; Kumar, Ravi; Tomkins, Andrew 📂 Article 📅 2006 🏛 ACM Press ⚖ 815 KB

[ACM Press the 12th ACM SIGKDD internati

[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Topics over time

✍ Wang, Xuerui; McCallum, Andrew 📂 Article 📅 2006 🏛 ACM Press ⚖ 930 KB

[ACM Press the 12th ACM SIGKDD internati

[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Statistical entity-topic models

✍ Newman, David; Chemudugunta, Chaitanya; Smyth, Padhraic 📂 Article 📅 2006 🏛 ACM Press ⚖ 726 KB

[ACM Press the 12th ACM SIGKDD internati

[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Single-pass online learning

✍ Carvalho, Vitor R.; Cohen, William W. 📂 Article 📅 2006 🏛 ACM Press ⚖ 725 KB

[ACM Press the 12th ACM SIGKDD internati

[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Single-pass online learning

✍ Carvalho, Vitor R.; Cohen, William W. 📂 Article 📅 2006 🏛 ACM Press ⚖ 725 KB

To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such as perceptron or Winnow are naturally suited to stream processing; however, in practice multiple passes over the same trai

[ACM Press the 12th ACM SIGKDD internati

[ACM Press the 12th ACM SIGKDD international conference - Philadelphia, PA, USA (2006.08.20-2006.08.23)] Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '06 - Sampling from large graphs

✍ Leskovec, Jure; Faloutsos, Christos 📂 Article 📅 2006 🏛 ACM Press ⚖ 717 KB