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» Evaluating algorithms that learn from data streams
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SIGIR
2009
ACM
15 years 10 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
KDD
2007
ACM
152views Data Mining» more  KDD 2007»
16 years 4 months ago
A framework for classification and segmentation of massive audio data streams
In recent years, the proliferation of VOIP data has created a number of applications in which it is desirable to perform quick online classification and recognition of massive voi...
Charu C. Aggarwal
SDM
2007
SIAM
131views Data Mining» more  SDM 2007»
15 years 5 months ago
Load Shedding in Classifying Multi-Source Streaming Data: A Bayes Risk Approach
In many applications, we monitor data obtained from multiple streaming sources for collective decision making. The task presents several challenges. First, data in sensor networks...
Yijian Bai, Haixun Wang, Carlo Zaniolo
PODS
2008
ACM
221views Database» more  PODS 2008»
16 years 4 months ago
A generic flow algorithm for shared filter ordering problems
We consider a fundamental flow maximization problem that arises during the evaluation of multiple overlapping queries defined on a data stream, in a heterogenous parallel environm...
Zhen Liu, Srinivasan Parthasarathy 0002, Anand Ran...
ICDCS
2002
IEEE
15 years 9 months ago
Accelerating Internet Streaming Media Delivery using Network-Aware Partial Caching
Internet streaming applications are affected by adverse network conditions such as high packet loss rates and long delays. This paper aims at mitigating such effects by leveraging...
Shudong Jin, Azer Bestavros, Arun Iyengar