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» On-line Learning and the Metrical Task System Problem
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KDD
2009
ACM
192views Data Mining» more  KDD 2009»
16 years 9 days ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
SIGMOD
2009
ACM
177views Database» more  SIGMOD 2009»
16 years 1 hour ago
Exploiting context analysis for combining multiple entity resolution systems
Entity Resolution (ER) is an important real world problem that has attracted significant research interest over the past few years. It deals with determining which object descript...
Zhaoqi Chen, Dmitri V. Kalashnikov, Sharad Mehrotr...
ICDE
2009
IEEE
156views Database» more  ICDE 2009»
16 years 1 months ago
Online Anomaly Prediction for Robust Cluster Systems
In this paper, we present a stream-based mining algorithm for online anomaly prediction. Many real-world applications such as data stream analysis requires continuous cluster opera...
Xiaohui Gu, Haixun Wang
EDM
2009
175views Data Mining» more  EDM 2009»
14 years 9 months ago
Detecting Symptoms of Low Performance Using Production Rules
E-Learning systems offer students innovative and attractive ways of learning through augmentation or substitution of traditional lectures and exercises with online learning materia...
Javier Bravo Agapito, Alvaro Ortigosa
RTSS
1999
IEEE
15 years 4 months ago
Design and Evaluation of a Feedback Control EDF Scheduling Algorithm
Despite the significant body of results in real-time scheduling, many real world problems are not easily supported. While algorithms such as Earliest Deadline First, Rate Monotoni...
Chenyang Lu, John A. Stankovic, Gang Tao, Sang Hyu...