i want the pdf a web search engine based approach to measure semantic similarity between words pdf free download
a web search engine based approach to measure semantic similarity between words ....etc

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An Automated Signature-Based Approach against Polymorphic Internet Worms
Yong Tang and Shigang Chen
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 18, NO. 7
Abstract—
Capable of infecting hundreds of thousands of hosts, worms represent a major threat to the Internet. However, the defenseagainst them is still an open problem. This paper attempts to answer an important question: How can we distinguish polymorphicworms from normal background traffic? We propose a new worm signature, called the position-aware distribution ....etc

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CHAPTER – 1
INTRODUCTION
E-mail spam has continued to increase at a very fast rate over the last couple of years. It has become a major threat for business users, network administrators and even normal users. A study in July 1997 reported that spam messages constituted approximately 10% of the incoming messages to a corporate network.
More recently, Message Labs stated in its 2006 Annual Security Report that spam activity has Increased significantly in 2006 with levels that reach 86.2% ....etc

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Abstract—Tree is one of the most common and well-studied data structures in computer science. Measuring the similarity of such structures is key to analyzing this type of data. However, measuring tree similarity is not trivial due to the inherent complexity of trees and the ensuing large search space. Tree kernel, a state of the art similarity measurement of trees, represents trees as vectors in a feature space and measures similarity in this space. When different features are used, different algorithms are required. Tree edit distance is ano ....etc

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A Fuzzy Similarity Approach for Automated Spam Filtering –IEEE –java

Abstract:
E-mail spam has become an epidemic problem that can negatively affect the usability of electronic mail as a communication means. Besides wasting users’ time and effort to scan and delete the massive amount of
junk e-mails received; it consumes network bandwidth and storage space, slows down e-mail servers, and provides a medium to distribute harmful and/or offensive content. Several machine learning approaches have been applied to this problem. In ....etc

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Presented by
R.NAGA CHANDANA
K.SWETHA


ABSTRACT
Automobiles have become an integrated part of our daily life. The development of technology has improved the automobile industry in both cost & efficiency. Still, accidents prove as challenge to technology. Highway accident news are frequently found in the newspapers. The automobile speed has increased with development in technology through years and the complexity of the accidents has also increased. Higher speeds the accidents prove to be more fatal. Man ....etc

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Fuzzy Logic and Fuzzy Sets 


History


Lotfi Zadeh, at the University of California at Berkeley, first presented fuzzy logic in the mid-1960's.

Zadeh developed fuzzy logic as a way of processing data. Instead of requiring a data element to be either a member or non-member of a set, he introduced the idea of partial set membership.

In 1974 Mamdani and Assilian used fuzzy logic to regulate a steam engine.

In 1985 researchers at Bell laboratories ....etc

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Presented by:
G.SIRISHA
V.PRATHIBHA




Abstract

Direct Torque Control (DTC) is quite different from vector control and has several advantages compared to vector control. This paper presents intelligent control scheme together with conventional control scheme by fuzzy logic approach, to overcome the problems with uncertainties in the structure encountered with classical model based design. To adjust the speed of the direct torque control of induction motor drive, a fuzzy state feedback controller is pro ....etc

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An Approach to the EOG Signal Segmentation Based on Fuzzy Reasoning
Abstract
In this paper we presented an approach to segmentationof an electrooculography (EOG) signal. For segmentation wehave used the elements of the fuzzy set theory. Results obtainedin our numerical experiments show usefulness of proposedapproach. Our method can be also used for the generating ofa learning set necessary for the neural networks or the fuzzy–neural systems training.Index Terms—EOG signal, signal segmentation, fuzzy reasoning,fuzzy clusteri ....etc

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