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KDD
2003
ACM
269views Data Mining» more  KDD 2003»
16 years 5 months ago
Maximizing the spread of influence through a social network
Models for the processes by which ideas and influence propagate through a social network have been studied in a number of domains, including the diffusion of medical and technolog...
David Kempe, Jon M. Kleinberg, Éva Tardos
123
Voted
KDD
2003
ACM
129views Data Mining» more  KDD 2003»
16 years 5 months ago
Empirical comparisons of various voting methods in bagging
Finding effective methods for developing an ensemble of models has been an active research area of large-scale data mining in recent years. Models learned from data are often subj...
Kelvin T. Leung, Douglas Stott Parker Jr.
CHI
2005
ACM
16 years 5 months ago
Connecting with kids: so what's new?
From pre-schools to high schools, at home and in museums, the educational community has embraced the use of computers as a teaching tool. Yet many institutions will simply install...
Lori L. Scarlatos, Amy Bruckman, Allison Druin, Mi...
STOC
2004
ACM
145views Algorithms» more  STOC 2004»
16 years 4 months 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
240
Voted
VLDB
2007
ACM
104views Database» more  VLDB 2007»
16 years 4 months ago
Extending Dependencies with Conditions
This paper introduces a class of conditional inclusion dependencies (CINDs), which extends traditional inclusion dependencies (INDs) by enforcing bindings of semantically related ...
Loreto Bravo, Wenfei Fan, Shuai Ma