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Applied machine learning for smart data analysis

Author: Nilanjan Dey; Sanjeev Wagh; Parikshit N Mahalle; Muḥammad Shāhid Paṭhān
Publisher: Boca Raton, FL : CRC Press/Taylor & Francis Group, [2019]
Series: Computational intelligence in engineering problem solving.
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
"The book focuses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key concepts and advancements. Divided into sections such as machine learning, security, IoT and data mining, the concepts are explained with practical implementation including results"--
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Genre/Form: Electronic books
Additional Physical Format: Print version :
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Nilanjan Dey; Sanjeev Wagh; Parikshit N Mahalle; Muḥammad Shāhid Paṭhān
ISBN: 9780429440953 0429440952 9780429804557 0429804555 9780429804571 0429804571 9780429804564 0429804563
OCLC Number: 1102416641
Description: 1 online resource (xviii, 225 pages)
Contents: Machine Learning1. Hindi and Urdu To English Named Entity Statistical Machine Transliteration Using Source Language Word Origin Context2. Anti-Depression Psychotherapist Chat-Bot for Exam And Study Depression3. Deep Learning for HealthCare Information's4. Priority based Message Forwarding Scheme in VANET with Intelligent Navigation5. Plagiasil: "A Plagiarism Detector"(MAS Scalable Framework for Research Effort Evaluation by Unsupervised Machine Learning - Hybrid Plagiarism Model)Machine Learning in Data Mining6. Digital image processing using Wavelets Basic principles and application7. Placements Probability Predictor Using Data Mining Techniques8. Big Data Summarization using Modified Fuzzy Clustering Algorithm, Semantic Feature and Data Compression Approach9. Topic specific Natural Language Chatbot as General Advisor for CollegeMachine Learning in IoT10. Implementing Ubiquitous Environment In Museum11. Implementation of Machine Learning in Education Sector: Analyzing causes behind average student grades12. Traffic Zone Warning and Violation Detection using Mobile ComputingMachine Learning in security13. A Comparative Analysis and Discussion of Email Spam Classification Methods using Machine Learning Techniques14. Malware Prevention and Detection System for SmartPhone: A Machine Learning Approach15. Spam Review Detection and Recommendation of Correct Outcomes Based on Appropriate ReviewsIndex
Series Title: Computational intelligence in engineering problem solving.
Responsibility: edited by Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan.

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