Anti-spam techniques based on artificial immune system / (Record no. 297624)

MARC details
000 -LEADER
fixed length control field 03030cam a22001937i 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781498725187
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 149872518X
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.8
Item number TAN
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Tan, Ying,
245 10 - TITLE STATEMENT
Title Anti-spam techniques based on artificial immune system /
Statement of responsibility, etc. Ying Tan.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. London
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 2016
300 ## - PHYSICAL DESCRIPTION
Extent xxvii, 236 pages :
Other physical details illustrations ;
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references (pages 213-227) and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Anti-Spam Technologies -- Artificial Immune System -- Term Space Partition-Based Feature Construction Approach -- Immune Concentration-Based Feature Construction Approach -- Local Concentration-Based Feature Extraction Approach -- Multi-Resolution Concentration-Based Feature Construction Approach -- Adaptive Concentration Selection Model -- Variable Length Concentration-Based Feature Construction Method -- Parameter Optimization of Concentration-Based Feature Construction Approaches -- Immune Danger Theory-Based EnsembleMethod -- Immune Danger Zone Principle-Based Dynamic Learning Method -- Immune-Based Dynamic Updating Algorithm -- AIS-Based Spam Filtering System and Implementation.
520 ## - SUMMARY, ETC.
Summary, etc. Email has become an indispensable communication tool in daily life. However, high volumes of spam waste resources, interfere with productivity, and present severe threats to computer system security and personal privacy. This book introduces research on anti-spam techniques based on the artificial immune system (AIS) to identify and filter spam. It provides a single source of all anti-spam models and algorithms based on the AIS that have been proposed by the author for the past decade in various journals and conferences. Inspired by the biological immune system, the AIS is an adaptive system based on theoretical immunology and observed immune functions, principles, and models for problem solving. Among the variety of anti-spam techniques, the AIS has been highly effective and is becoming one of the most important methods to filter spam. The book also focuses on several key topics related to the AIS, including: extraction methods inspired by various immune principles, construction approaches based on several concentration methods and models, classifiers based on immune danger theory, the immune-based dynamic updating algorithm, and implementing AIS-based spam filtering systems. The book also includes several experiments and comparisons with state-of-the-art anti-spam techniques to illustrate the excellent performance AIS-based anti-spam techniques. Anti-Spam Techniques Based on Artificial Immune System gives practitioners, researchers, and academics a centralized source of detailed information on efficient models and algorithms of AIS-based anti-spam techniques. It also contains the most current information on the general achievements of anti-spam research and approaches, outlining strategies for designing and applying spam-filtering models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Spam filtering (Electronic mail)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial immune systems.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Dept. of Computer Science Dept. of Computer Science Reference 08/11/2019   005.8 TAN DCS4771 08/11/2019 08/11/2019 Book