INTELLIGENT CLASSIFICATION OF EMAIL MODELS ON DATA MIGRATION METHODS FOR SPAM FILTERING

INTELLIGENT CLASSIFICATION OF EMAIL MODELS ON DATA MIGRATION METHODS FOR SPAM FILTERING
Author: Dr.B.Bala Krishnudu
Publisher: Shashwat Publication
Total Pages: 164
Release: 2024-06-10
Genre: Computers
ISBN: 8119908201

Email classification is improved by using an effective classification technique that alleviates the issue of email classification and enhances its effectiveness. Text classification and multi-class classifiers are used to classify the classes, which are then tested using a data mining tool for accuracy. This book discusses different types of email spam classifications. Email text messages must be classified effectively in order to alleviate this problem. In this book, the goal is to improve the accuracy of email classification. We observe that the multi-objective function based on the email classification is more accurate than a single objective function.

Library Classification Trends in the 21st Century

Library Classification Trends in the 21st Century
Author: Rajendra Kumbhar
Publisher: Elsevier
Total Pages: 187
Release: 2011-11-18
Genre: Language Arts & Disciplines
ISBN: 1780632983

Library Classification Trends in the 21st Century traces development in and around library classification as reported in literature published in the first decade of the 21st century. It reviews literature published on various aspects of library classification, including modern applications of classification such as internet resource discovery, automatic book classification, text categorization, modern manifestations of classification such as taxonomies, folksonomies and ontologies and interoperable systems enabling crosswalk. The book also features classification education and an exploration of relevant topics. Covers all aspects of library classification It is the only book that reviews literature published over a decade’s time span (1999-2009) Well thought chapterization which is in tune with the LIS and classification curriculum

IBM Classification Module: Make It Work for You

IBM Classification Module: Make It Work for You
Author: Wei-Dong Zhu
Publisher: IBM Redbooks
Total Pages: 472
Release: 2009-11-03
Genre: Computers
ISBN: 0738433527

IBM® Classification Module (Classification Module) Version 8.6 is an advanced enterprise software platform tool designed to allow organizations to automate the classification of unstructured content. By deploying the module in various areas of a business, organizations can reduce or avoid manual processes associated with subjective decision making around unstructured content. Organizations can also streamline the ingestion of that content into their business systems in order to use the information within the business systems more effectively. At the same time, the organizations can safely remove irrelevant or obsolete information and therefore utilize the storage infrastructure more efficiently. By reducing the human element in this process, Classification Module ensures accuracy and consistency and enables auditing while simultaneously driving down labor costs. This IBM Redbooks® publication explains what Classification Module does, the key concepts to understand when working with Classification Module, and its integration with other products and systems. With this book, we show you how Classification Module helps your organization to automate the classification of large volumes of unstructured content in a consistent and accurate manner. The topics that are covered include building, training, and fine-tuning the knowledge base, creating decision plans, working with Classification Workbench, and step-by-step integration with other products and solutions. This book is intended to educate both technical specialists and nontechnical personnel in how to make Classification Module work for your organizations.