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» Phenomenal Data Mining: From Data to Phenomena
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WSDM
2010
ACM
266views Data Mining» more  WSDM 2010»
16 years 4 months ago
Gathering and Ranking Photos of Named Entities with High Precision, High Recall, and Diversity
Knowledge-sharing communities like Wikipedia and automated extraction methods like those of DBpedia enable the construction of large machine-processible knowledge bases with relat...
Bilyana Taneva, Mouna Kacimi, Gerhard Weikum
ICDM
2007
IEEE
147views Data Mining» more  ICDM 2007»
16 years 1 months ago
Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
Recommender systems based on collaborative filtering predict user preferences for products or services by learning past user-item relationships. A predominant approach to collabo...
Robert M. Bell, Yehuda Koren
KDD
2009
ACM
156views Data Mining» more  KDD 2009»
16 years 7 months ago
Turning down the noise in the blogosphere
In recent years, the blogosphere has experienced a substantial increase in the number of posts published daily, forcing users to cope with information overload. The task of guidin...
Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos...
KDD
2002
ACM
164views Data Mining» more  KDD 2002»
16 years 7 months ago
Meta-classification: Combining Multimodal Classifiers
Combining multiple classifiers is of particular interest in multimedia applications. Each modality in multimedia data can be analyzed individually, and combining multiple pieces of...
Wei-Hao Lin, Alexander G. Hauptmann
200
Voted
WSDM
2010
ACM
214views Data Mining» more  WSDM 2010»
16 years 4 months ago
You are who you know: Inferring user profiles in Online Social Networks
Online social networks are now a popular way for users to connect, express themselves, and share content. Users in today's online social networks often post a profile, consis...
Alan Mislove, Bimal Viswanath, P. Krishna Gummadi,...