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KDD
2005
ACM
140views Data Mining» more  KDD 2005»
14 years 9 months ago
Graphs over time: densification laws, shrinking diameters and possible explanations
How do real graphs evolve over time? What are "normal" growth patterns in social, technological, and information networks? Many studies have discovered patterns in stati...
Jure Leskovec, Jon M. Kleinberg, Christos Faloutso...
KDD
2010
ACM
199views Data Mining» more  KDD 2010»
14 years 16 days ago
Overlapping experiment infrastructure: more, better, faster experimentation
At Google, experimentation is practically a mantra; we evaluate almost every change that potentially affects what our users experience. Such changes include not only obvious user-...
Diane Tang, Ashish Agarwal, Deirdre O'Brien, Mike ...
AUSDM
2008
Springer
274views Data Mining» more  AUSDM 2008»
13 years 10 months ago
Identifying Stock Similarity Based on Multi-event Episodes
Predicting stock market movements is always difficult. Investors try to guess a stock's behavior, but it often backfires. Thumb rules and intuition seems to be the major indi...
Abhi Dattasharma, Praveen Kumar Tripathi, Sridhar ...
ICDM
2010
IEEE
168views Data Mining» more  ICDM 2010»
13 years 6 months ago
Anomaly Detection Using an Ensemble of Feature Models
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
Keith Noto, Carla E. Brodley, Donna K. Slonim
SIGCOMM
2010
ACM
13 years 8 months ago
Fine-grained channel access in wireless LAN
Modern communication technologies are steadily advancing the physical layer (PHY) data rate in wireless LANs, from hundreds of Mbps in current 802.11n to over Gbps in the near fut...
Kun Tan, Ji Fang, Yuanyang Zhang, Shouyuan Chen, L...