NDLI: Detecting capability evaluate of spider detection techniques

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2010 2nd International Conference on Computer Engineering and Technology

Volume 7 - 2010

Uterine fibroid segmentation on multiplan MRI using FCM, MPFCM and morphological operations

Notice of RetractionA new approach for supplier selection decision making

Notice of RetractionEvaluating MBA students satisfaction that using multimedia learning system (MMLS) in the private university Malaysia

Notice of RetractionA comparison of the Zippo lighter sales between real outlets and online shop

A fast surface reconstruction algorithm for 3D unorganized points

Fast algorithm for point-sampled model denoising

A Hierarchical data replication method in ad hoc networks

A text-message filtering system design based on ACE platform

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Performance analysis of traffic control MIPv6 on Linux base

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Study of moving object detection in intelligent video surveillance system

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Study of intrusion detection system using immune mechanism

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Extended Empty-Slots method for fixed priority feasibility analysis

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A dynamic web recommender system based on cellular learning automata

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Volume 1 - 2010

2009 International Conference on Computer Engineering and Technology

Detecting capability evaluate of spider detection techniques

Content Provider	IEEE Xplore Digital Library
Author	Fan Chunlong Yu Zhouhua Xu Lei
Copyright Year	2010
Description	Author affiliation: Department of Computer Science, Shenyang Institute of Aeronautical Engineering, China (Fan Chunlong; Yu Zhouhua; Xu Lei)
Abstract	Spider is a program for harvesting internet resources. In order to regulate and monitor accessing behavior of spiders, many Spiders Detection Techniques (SDT) are proposed based on Decision Tree and Bayesian Network etc. At present, the evaluation of these detection techniques mainly rely on manual analysis of web log data. In order to objectively and accurately evaluate the detecting capability of SDT, an Evaluation Method based on Trap technique (EMT) is proposed in this paper. The principles of EMT base on the statistical hypothesis that the users captured by trap obeying binomial distribution theory. The traps layout information and users accessing information are used to calculate evaluating indicators. The evaluating result of experiment indicates that EMT has an accurate and scientific conclusion.
File Size	131087
File Format	PDF
ISBN	9781424463473
e-ISBN	9781424463497
DOI	10.1109/ICCET.2010.5485230
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computerized monitoring evaluation method Manuals spider detection techniques Aerospace engineering Uniform resource locators Computer science Bayesian methods Tin Spider Internet Decision trees Robots binomial distribution
Content Type	Text
Resource Type	Article

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