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» Measuring and Predicting Object Importance
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INFOCOM
2000
IEEE
14 years 1 months ago
A Predictability Analysis of Network Traffic
This paper assesses the predictability of network traffic by considering two metrics: (1) how far into the future a traffic rate process can be predicted with bounded error; (2) w...
Aimin Sang, San-qi Li
ALT
1998
Springer
14 years 2 months ago
Predictive Learning Models for Concept Drift
Concept drift means that the concept about which data is obtained may shift from time to time, each time after some minimum permanence. Except for this minimum permanence, the con...
John Case, Sanjay Jain, Susanne Kaufmann, Arun Sha...
KDD
2009
ACM
153views Data Mining» more  KDD 2009»
14 years 10 months ago
Predicting bounce rates in sponsored search advertisements
This paper explores an important and relatively unstudied quality measure of a sponsored search advertisement: bounce rate. The bounce rate of an ad can be informally defined as t...
D. Sculley, Robert G. Malkin, Sugato Basu, Roberto...
JOT
2007
100views more  JOT 2007»
13 years 9 months ago
Software Design Metrics for Object-Oriented Software
The importance of software measurement is increasing leading to development of new measurement techniques. As the development of object-oriented software is rising, more and more ...
K. K. Aggarwal, Yogesh Singh, Arvinder Kaur, Ruchi...
WWW
2007
ACM
14 years 10 months ago
Predicting clicks: estimating the click-through rate for new ads
Search engine advertising has become a significant element of the Web browsing experience. Choosing the right ads for the query and the order in which they are displayed greatly a...
Matthew Richardson, Ewa Dominowska, Robert Ragno