Home > Computer & Internet > Computer science > Artificial intelligence > Machine learning > Automated Learning of Unsolicited Mail Detection Using BiLSTM And GFGSC Classifier With GOA To Proliferate Accuracy
13%
Automated Learning of Unsolicited Mail Detection Using BiLSTM And GFGSC Classifier With GOA To Proliferate Accuracy

Automated Learning of Unsolicited Mail Detection Using BiLSTM And GFGSC Classifier With GOA To Proliferate Accuracy

          
5
4
3
2
1

Out of Stock


Premium quality
Premium quality
Bookswagon upholds the quality by delivering untarnished books. Quality, services and satisfaction are everything for us!
Easy Return
Easy return
Not satisfied with this product! Keep it in original condition and packaging to avail easy return policy.
Certified product
Certified product
First impression is the last impression! Address the book’s certification page, ISBN, publisher’s name, copyright page and print quality.
Secure Checkout
Secure checkout
Security at its finest! Login, browse, purchase and pay, every step is safe and secured.
Money back guarantee
Money-back guarantee:
It’s all about customers! For any kind of bad experience with the product, get your actual amount back after returning the product.
On time delivery
On-time delivery
At your doorstep on time! Get this book delivered without any delay.
Notify me when this book is in stock
Add to Wishlist

About the Book

Email spam, also known as unsolicited bulk email (UBE), is the term used to describe the mass distribution of unwanted or irrelevant messages to a large number of recipients via email. These messages are typically sent by commercial entities or individuals with the intention of promoting a product or service, scamming recipients, or spreading malware. Spam emails often contain misleading subject lines, deceptive content, and fake sender information. They can also be used for phishing attacks, in which the sender attempts to trick recipients into providing personal information or clicking on malicious links. Email spam is a widespread problem that affects individuals, businesses, and organizations of all sizes [1]. It can clog up inboxes, waste time and resources, and pose a security risk to users. As a result, many email providers have implemented various spam filtering techniques to automatically detect and block spam messages before they reach the recipient's inbox. Despite these efforts, spammers continue to find new ways to evade filters and send unwanted messages, making email spam an ongoing challenge for internet users [2]. Deep learning is a powerful technique that can be used to build robust email spam detection systems. The deep learning model involved in automated learning from the pattern those are complex with the raw data those are suitable for the spam detection.

An automated system to detect unsolicited mail (spam) using advanced machine learning techniques, leverages a Bidirectional Long Short-Term Memory (BiLSTM) network to analyze the sequential nature of email content, improving the capture of contextual information from both past and future data points. To further enhance classification accuracy, the system integrates a Gradient-Frequency-based Scalable Classifier (GFGSC), which refines the decision boundaries based on the gradient and frequency of features. Additionally, the system employs the Grasshopper Optimization Algorithm (GOA) to optimize the hyperparameters of the BiLSTM and GFGSC models.


Best Sellers



Product Details
  • ISBN-13: 9798224978939
  • Publisher: Draft2digital
  • Publisher Imprint: Mohammed Abdul Sattar
  • Height: 279 mm
  • No of Pages: 144
  • Spine Width: 8 mm
  • Width: 216 mm
  • ISBN-10: 8224978931
  • Publisher Date: 27 May 2024
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 350 gr


Similar Products

How would you rate your experience shopping for books on Bookswagon?

Add Photo
Add Photo

Customer Reviews

REVIEWS           
Click Here To Be The First to Review this Product
Automated Learning of Unsolicited Mail Detection Using BiLSTM And GFGSC Classifier With GOA To Proliferate Accuracy
Draft2digital -
Automated Learning of Unsolicited Mail Detection Using BiLSTM And GFGSC Classifier With GOA To Proliferate Accuracy
Writing guidlines
We want to publish your review, so please:
  • keep your review on the product. Review's that defame author's character will be rejected.
  • Keep your review focused on the product.
  • Avoid writing about customer service. contact us instead if you have issue requiring immediate attention.
  • Refrain from mentioning competitors or the specific price you paid for the product.
  • Do not include any personally identifiable information, such as full names.

Automated Learning of Unsolicited Mail Detection Using BiLSTM And GFGSC Classifier With GOA To Proliferate Accuracy

Required fields are marked with *

Review Title*
Review
    Add Photo Add up to 6 photos
    Would you recommend this product to a friend?
    Tag this Book
    Read more
    Does your review contain spoilers?
    What type of reader best describes you?
    I agree to the terms & conditions
    You may receive emails regarding this submission. Any emails will include the ability to opt-out of future communications.

    CUSTOMER RATINGS AND REVIEWS AND QUESTIONS AND ANSWERS TERMS OF USE

    These Terms of Use govern your conduct associated with the Customer Ratings and Reviews and/or Questions and Answers service offered by Bookswagon (the "CRR Service").


    By submitting any content to Bookswagon, you guarantee that:
    • You are the sole author and owner of the intellectual property rights in the content;
    • All "moral rights" that you may have in such content have been voluntarily waived by you;
    • All content that you post is accurate;
    • You are at least 13 years old;
    • Use of the content you supply does not violate these Terms of Use and will not cause injury to any person or entity.
    You further agree that you may not submit any content:
    • That is known by you to be false, inaccurate or misleading;
    • That infringes any third party's copyright, patent, trademark, trade secret or other proprietary rights or rights of publicity or privacy;
    • That violates any law, statute, ordinance or regulation (including, but not limited to, those governing, consumer protection, unfair competition, anti-discrimination or false advertising);
    • That is, or may reasonably be considered to be, defamatory, libelous, hateful, racially or religiously biased or offensive, unlawfully threatening or unlawfully harassing to any individual, partnership or corporation;
    • For which you were compensated or granted any consideration by any unapproved third party;
    • That includes any information that references other websites, addresses, email addresses, contact information or phone numbers;
    • That contains any computer viruses, worms or other potentially damaging computer programs or files.
    You agree to indemnify and hold Bookswagon (and its officers, directors, agents, subsidiaries, joint ventures, employees and third-party service providers, including but not limited to Bazaarvoice, Inc.), harmless from all claims, demands, and damages (actual and consequential) of every kind and nature, known and unknown including reasonable attorneys' fees, arising out of a breach of your representations and warranties set forth above, or your violation of any law or the rights of a third party.


    For any content that you submit, you grant Bookswagon a perpetual, irrevocable, royalty-free, transferable right and license to use, copy, modify, delete in its entirety, adapt, publish, translate, create derivative works from and/or sell, transfer, and/or distribute such content and/or incorporate such content into any form, medium or technology throughout the world without compensation to you. Additionally,  Bookswagon may transfer or share any personal information that you submit with its third-party service providers, including but not limited to Bazaarvoice, Inc. in accordance with  Privacy Policy


    All content that you submit may be used at Bookswagon's sole discretion. Bookswagon reserves the right to change, condense, withhold publication, remove or delete any content on Bookswagon's website that Bookswagon deems, in its sole discretion, to violate the content guidelines or any other provision of these Terms of Use.  Bookswagon does not guarantee that you will have any recourse through Bookswagon to edit or delete any content you have submitted. Ratings and written comments are generally posted within two to four business days. However, Bookswagon reserves the right to remove or to refuse to post any submission to the extent authorized by law. You acknowledge that you, not Bookswagon, are responsible for the contents of your submission. None of the content that you submit shall be subject to any obligation of confidence on the part of Bookswagon, its agents, subsidiaries, affiliates, partners or third party service providers (including but not limited to Bazaarvoice, Inc.)and their respective directors, officers and employees.

    Accept

    New Arrivals



    Inspired by your browsing history


    Your review has been submitted!

    You've already reviewed this product!