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» Online Algorithms for Mining Semi-structured Data Stream
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ICML
2003
IEEE
16 years 2 months ago
Online Ranking/Collaborative Filtering Using the Perceptron Algorithm
In this paper we present a simple to implement truly online large margin version of the Perceptron ranking (PRank) algorithm, called the OAP-BPM (Online Aggregate Prank-Bayes Poin...
Edward F. Harrington
KDD
2009
ACM
146views Data Mining» more  KDD 2009»
15 years 8 months ago
Online allocation of display advertisements subject to advanced sales contracts
In this paper we propose a utility model that accounts for both sales and branding advertisers. We first study the computational complexity of optimization problems related to bo...
Saeed Alaei, Esteban Arcaute, Samir Khuller, Wenji...
KDD
1999
ACM
199views Data Mining» more  KDD 1999»
15 years 6 months ago
The Application of AdaBoost for Distributed, Scalable and On-Line Learning
We propose to use AdaBoost to efficiently learn classifiers over very large and possibly distributed data sets that cannot fit into main memory, as well as on-line learning wher...
Wei Fan, Salvatore J. Stolfo, Junxin Zhang
SDM
2007
SIAM
98views Data Mining» more  SDM 2007»
15 years 3 months ago
An incremental data-stream sketch using sparse random projections
We propose the use of random projections with a sparse matrix to maintain a sketch of a collection of high-dimensional data-streams that are updated asynchronously. This sketch al...
Aditya Krishna Menon, Gia Vinh Anh Pham, Sanjay Ch...
PAKDD
2010
ACM
222views Data Mining» more  PAKDD 2010»
15 years 6 months ago
Online Sampling of High Centrality Individuals in Social Networks
In this work, we investigate the use of online or “crawling” algorithms to sample large social networks in order to determine the most influential or important individuals wit...
Arun S. Maiya, Tanya Y. Berger-Wolf