[ACM Press the 18th ACM SIGKDD international conference - Beijing, China (2012.08.12-2012.08.16)] Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12 - Model mining for robust feature selection

[ACM Press the 18th ACM SIGKDD internati

✍ Woznica, Adam; Nguyen, Phong; Kalousis, Alexandros 📂 Article 📅 2012 🏛 ACM Press 🌐 English ⚖ 685 KB

A common problem with most of the feature selection methods is that they often produce feature sets-models-that are not stable with respect to slight variations in the training data. Different authors tried to improve the feature selection stability using ensemble methods which aggregate different f

[ACM Press the 18th ACM SIGKDD internati

[ACM Press the 18th ACM SIGKDD international conference - Beijing, China (2012.08.12-2012.08.16)] Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12 - TM-LDA

✍ Wang, Yu; Agichtein, Eugene; Benzi, Michele 📂 Article 📅 2012 🏛 ACM Press ⚖ 601 KB

[ACM Press the 18th ACM SIGKDD internati

[ACM Press the 18th ACM SIGKDD international conference - Beijing, China (2012.08.12-2012.08.16)] Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12 - Algorithms for mining uncertain graph data

✍ Li, Jianzhong 📂 Article 📅 2012 🏛 ACM Press ⚖ 373 KB

[ACM Press the 18th ACM SIGKDD internati

[ACM Press the 18th ACM SIGKDD international conference - Beijing, China (2012.08.12-2012.08.16)] Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12 - Algorithms for mining uncertain graph data

✍ Li, Jianzhong 📂 Article 📅 2012 🏛 ACM Press 🌐 English ⚖ 373 KB

With the rapid development of advanced data acquisition techniques such as high-throughput biological experiments and wireless sensor networks, large amount of graph-structured data, graph data for short, have been collected in a wide range of applications. Discovering knowledge from graph data has

[ACM Press the 18th ACM SIGKDD internati

[ACM Press the 18th ACM SIGKDD international conference - Beijing, China (2012.08.12-2012.08.16)] Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12 - Information propagation game

✍ Chen, Hung-Hsuan; Ciou, Yan-Bin; Lin, Shou-De 📂 Article 📅 2012 🏛 ACM Press ⚖ 673 KB

[ACM Press the 18th ACM SIGKDD internati

[ACM Press the 18th ACM SIGKDD international conference - Beijing, China (2012.08.12-2012.08.16)] Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining - KDD '12 - Information propagation game

✍ Chen, Hung-Hsuan; Ciou, Yan-Bin; Lin, Shou-De 📂 Article 📅 2012 🏛 ACM Press 🌐 English ⚖ 673 KB

With the popularity of online social network services, influence maximization on social networks has drawn much attention in recent years. Most of these studies approximate a greedy based sub-optimal solution by proving the submodular nature of the utility function. Instead of using the analytical t