[ACM Press the 1st international workshop - Chicago, Illinois (2005.08.21-2005.08.21)] Proceedings of the 1st international workshop on open source data mining frequent pattern mining implementations - OSDM '05 - An implementation of the FP-growth algorithm

[ACM Press the 1st international worksho

[ACM Press the 1st international workshop - Chicago, Illinois (2005.08.21-2005.08.21)] Proceedings of the 1st international workshop on Utility-based data mining - UBDM '05 - Interruptible anytime algorithms for iterative improvement of decision trees

✍ Esmeir, Saher; Markovitch, Shaul 📂 Article 📅 2005 🏛 ACM Press 🌐 English ⚖ 219 KB

[ACM Press the 6th international worksho

[ACM Press the 6th international workshop - Chicago, Illinois (2005.08.21-2005.08.21)] Proceedings of the 6th international workshop on Multimedia data mining mining integrated media and complex data - MDM '05 - A multiversion model for multimedia data warehouse

✍ Arigon, Anne-Muriel; Tchounikine, Anne; Miquel, Maryvonne 📂 Article 📅 2005 🏛 ACM Press ⚖ 427 KB

[ACM Press the 4th international worksho

[ACM Press the 4th international workshop - Chicago, Illinois (2005.08.21-2005.08.21)] Proceedings of the 4th international workshop on Multi-relational mining - MRDM '05 - An efficient multi-relational Naïve Bayesian classifier based on semantic relationship graph

✍ Liu, Hongyan; Yin, Xiaoxin; Han, Jiawei 📂 Article 📅 2005 🏛 ACM Press ⚖ 192 KB

[ACM Press the 1st International Worksho

[ACM Press the 1st International Workshop - Beijing, China (2012.08.12-2012.08.12)] Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining Algorithms, Systems, Programming Models and Applications - BigMine '12 - Online feature selection for mining big data

✍ Hoi, Steven C. H.; Wang, Jialei; Zhao, Peilin; Jin, Rong 📂 Article 📅 2012 🏛 ACM Press ⚖ 710 KB

[ACM Press the 1st International Worksho

[ACM Press the 1st International Workshop - Beijing, China (2012.08.12-2012.08.12)] Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining Algorithms, Systems, Programming Models and Applications - BigMine '12 - A parallel graph partitioning algorithm to speed up the large-scale distributed graph mining

✍ Zeng, ZengFeng; Wu, Bin; Wang, Haoyu 📂 Article 📅 2012 🏛 ACM Press ⚖ 730 KB

[ACM Press the 1st International Worksho

[ACM Press the 1st International Workshop - Beijing, China (2012.08.12-2012.08.12)] Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining Algorithms, Systems, Programming Models and Applications - BigMine '12 - A parallel graph partitioning algorithm to speed up the large-scale distributed graph mining

✍ Zeng, ZengFeng; Wu, Bin; Wang, Haoyu 📂 Article 📅 2012 🏛 ACM Press ⚖ 730 KB

For the large-scale distributed graph mining, the graph is distributed over a cluster of nodes, thus performing computations on the distributed graph is expensive when large amount of data have to be moved between different computers. A good partitioning of distributed graph is needed to reduce the