Knowledge Discovery from Data (TKDD)


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ACM Transactions on Knowledge Discovery from Data (TKDD), Volume 8 Issue 2, June 2014

Network Sampling: From Static to Streaming Graphs
Nesreen K. Ahmed, Jennifer Neville, Ramana Kompella
Article No.: 7
DOI: 10.1145/2601438

Network sampling is integral to the analysis of social, information, and biological networks. Since many real-world networks are massive in size, continuously evolving, and/or distributed in nature, the network structure is often sampled in order...

Ranking Metric Anomaly in Invariant Networks
Yong Ge, Guofei Jiang, Min Ding, Hui Xiong
Article No.: 8
DOI: 10.1145/2601436

The management of large-scale distributed information systems relies on the effective use and modeling of monitoring data collected at various points in the distributed information systems. A traditional approach to model monitoring data is to...

Discovering General Prominent Streaks in Sequence Data
Gensheng Zhang, Xiao Jiang, Ping Luo, Min Wang, Chengkai Li
Article No.: 9
DOI: 10.1145/2601439

This article studies the problem of prominent streak discovery in sequence data. Given a sequence of values, a prominent streak is a long consecutive subsequence consisting of only large (small) values, such as consecutive games of outstanding...

Multiresolution Tensor Decompositions with Mode Hierarchies
Claudio Schifanella, K. Selçuk Candan, Maria Luisa Sapino
Article No.: 10
DOI: 10.1145/2532169

Tensors (multidimensional arrays) are widely used for representing high-order dimensional data, in applications ranging from social networks, sensor data, and Internet traffic. Multiway data analysis techniques, in particular tensor...