1.
Estimating
the Global PageRank of Web Communities, Jason
Davis, Inderjit Dhillon
2.
Unsupervised
Learning on K-partite Graphs, Bo Long, Xiaoyun Wu,
Zhongfei Zhang, Philip S. Yu
3. Learning to Rank Networked
Entities, Alekh Agarwal,
Soumen Chakrabarti, Sunny Aggarwal
4.
Center-Piece
Subgraphs: Problem Definition and Fast Solutions, Hanghang Tong, Christos Faloutsos
5.
Measuring
and Extracting Proximity in Networks, Yehuda
Koren, Stephen North, Chris Volinsky
6. Group Formation in Large Social
Networks: Membership, Growth, and Evolution, Lars Backstrom,
Dan Huttenlocher, Jon Kleinberg, Xiangyang
Lan
7.
Using
Structure Indices For Efficient Approximation of Network Properties, Matthew
Rattigan, Marc Maier, David Jensen
8. NeMoFinder: Dissecting genome wide
protein-protein interactions with repeated and unique network motifs, Jin
Chen, Wynne Hsu, Mong Li Lee, Seekiong
Ng
9.
Rank
Methods for Mining Sets of Numerical Attributes, Toon
Calders, Bart Goethals, Szymon
Jaroszewicz
10. Mining Quantitative Correlated
Patterns Using an Information-Theoretic Approach, Yiping
Ke, James Cheng, Wilfred Ng
11. Discovering significant rules, Geoff Webb
12. Assessing data mining results via
swap randomization, Aris Gionis, Heikki Mannila, Taneli Mielikäinen, Panayiotis Tsaparas
13. Extracting Redundancy-Aware Top-K
Patterns, Dong Xin, Hong Cheng, Xifeng Yan, Jiawei
Han
14. Maximally Informative k-Itemsets and their Efficient Discovery, Arno Knobbe, Eric Ho
15. Generating Semantic Annotations
for Frequent Patterns with Context Analysis, Qiaozhu
Mei, Dong Xin, Hong Cheng,Jiawei
Han, ChengXiang Zhai