Innovations in Data Analytics
Home > Computing and Information Technology > Computer science > Artificial intelligence > Innovations in Data Analytics: Selected Papers of ICIDA 2023, Volume 2(1005 Lecture Notes in Networks and Systems)
Innovations in Data Analytics: Selected Papers of ICIDA 2023, Volume 2(1005 Lecture Notes in Networks and Systems)

Innovations in Data Analytics: Selected Papers of ICIDA 2023, Volume 2(1005 Lecture Notes in Networks and Systems)

|
     0     
5
4
3
2
1




International Edition


About the Book

This book features research papers presented at the 2nd International Conference on Innovations in Data Analytics (ICIDA 2023), held at Eminent College of Management and Technology (ECMT), West Bengal, India during 29 – 30 November 2023. The book presents original research work in the areas of computational intelligence, advance computing, network security and telecommunication, data science and data analytics, and pattern recognition. The book is beneficial for readers from both academia and industry.

Table of Contents:
E-waste Classification using Pre-trained Deep Learning CNN Model.- Explorative Data Analysis on COVID-19 Vaccine Hesitancy in United States.- Stress Detection while doing Exam using EEG with Machine Learning Techniques.- Detection of Fake News using Machine Intelligence for Societal Benefit.- Drug Recommendations using Support Vector Machine.- Fraud Detection on payment using Credit Card, Online Transactions and Banking.- Twitter Sentiment Analysis using Stacking Machine Learning Approach.- Machine learning based Network Intrusion Detection System for IoT Environment.- Periodic Frequent Pattern Mining with Consideration of Periodic Improvements for Business Promotion.- Latent Dirichlet Allocation for Topic Modeling and Intelligent Document Classification.- Artificial Intelligence Based Smart Traffic Control System.- Leveraging Sentiment Analysis of Drugs Review-Based Drugs Recommender System.- An AI-based Integrated Framework for Motion-Activated Facial Recognition.- Rice Leaves Disease Detection Mechanism using VGG16 Deep Learning Architecture.- Advancements in Deep Learning Models for Epileptic Seizure Detection: Algorithms, Applications, and Future Perspectives.- A Comprehensive Study on Reddit Users’ Attitude Towards ChatGPT.- Using OpenCV Space Detection System.- Design and Evaluation of a Customized CNN Architecture for Early Detection of Lung Cancer.- Detecting Common Diseases of Potato Leaf Applying Deep Learning Techniques.- Forecasting Bitcoin Prices using LSTM: A Comparative Evaluation with Future Prediction.- Credit Card fraudulent transaction detection using Machine Learning Techniques.- Revolutionizing Attendance Tracking: A Smart System Utilizing Face Recognition Technology.- Comparative Analysis of Tomato Leaf Diseases in Relation to Soil Nutrition Data.- Deep Learning-Based Smart Surveillance System.- A Guide Tour to Systematic Review and Research perspective on Movie Based Recommendation System.


Best Sellers


Product Details
  • ISBN-13: 9789819749270
  • Publisher: Springer Verlag, Singapore
  • Publisher Imprint: Springer Nature
  • Height: 235 mm
  • No of Pages: 486
  • Series Title: 1005 Lecture Notes in Networks and Systems
  • Width: 155 mm
  • ISBN-10: 9819749271
  • Publisher Date: 10 Sep 2024
  • Binding: Paperback
  • Language: English
  • Returnable: Y
  • Sub Title: Selected Papers of ICIDA 2023, Volume 2


Similar Products

Add Photo
Add Photo

Customer Reviews

REVIEWS      0     
Click Here To Be The First to Review this Product
Innovations in Data Analytics: Selected Papers of ICIDA 2023, Volume 2(1005 Lecture Notes in Networks and Systems)
Springer Verlag, Singapore -
Innovations in Data Analytics: Selected Papers of ICIDA 2023, Volume 2(1005 Lecture Notes in Networks and Systems)
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.

Innovations in Data Analytics: Selected Papers of ICIDA 2023, Volume 2(1005 Lecture Notes in Networks and Systems)

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!