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ASPLOS
2009
ACM
16 years 1 months ago
Producing wrong data without doing anything obviously wrong!
This paper presents a surprising result: changing a seemingly innocuous aspect of an experimental setup can cause a systems researcher to draw wrong conclusions from an experiment...
Todd Mytkowicz, Amer Diwan, Matthias Hauswirth, Pe...
KDD
2009
ACM
167views Data Mining» more  KDD 2009»
16 years 1 months ago
SNARE: a link analytic system for graph labeling and risk detection
Classifying nodes in networks is a task with a wide range of applications. It can be particularly useful in anomaly and fraud detection. Many resources are invested in the task of...
Mary McGlohon, Stephen Bay, Markus G. Anderle, Dav...
KDD
2009
ACM
132views Data Mining» more  KDD 2009»
16 years 1 months ago
Learning patterns in the dynamics of biological networks
Our dynamic graph-based relational mining approach has been developed to learn structural patterns in biological networks as they change over time. The analysis of dynamic network...
Chang Hun You, Lawrence B. Holder, Diane J. Cook
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 25 days ago
Using mixture models for collaborative filtering
A collaborative filtering system at an e-commerce site or similar service uses data about aggregate user behavior to make recommendations tailored to specific user interests. We d...
Jon M. Kleinberg, Mark Sandler
212
Voted
SIGMOD
2008
ACM
162views Database» more  SIGMOD 2008»
16 years 21 days ago
Event queries on correlated probabilistic streams
A major problem in detecting events in streams of data is that the data can be imprecise (e.g. RFID data). However, current state-ofthe-art event detection systems such as Cayuga ...
Christopher Ré, Dan Suciu, Julie Letchner, ...