Applied machine learning for smart data analysis
Bibliographische Detailangaben
- Titel
- Applied machine learning for smart data analysis
- verantwortlich
- ; ; ;
- Ausgabe
- 1st
- veröffentlicht
- Erscheinungsjahr
- 2019
- Teil von
- Computational intelligence in engineering problem solving
- Medientyp
- E-Book
- Datenquelle
- British National Bibliography
- Tags
- Tag hinzufügen
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Inhaltsangabe:
- <P><STRONG>Machine Learning</STRONG></P><P></P><P>1. Hindi and Urdu To English Named Entity Statistical Machine Transliteration Using Source Language Word Origin Context</P><P></P><P>2. Anti-Depression Psychotherapist Chat-Bot for Exam And Study Depression</P><P></P><P>3. Deep Learning for HealthCare Information’s</P><P></P><P>4. Priority based Message Forwarding Scheme in VANET with Intelligent Navigation</P><P></P><P>5. Plagiasil: "A Plagiarism Detector"(MAS Scalable Framework for Research Effort Evaluation by Unsupervised Machine Learning - Hybrid Plagiarism Model)</P><P></P><B><I><P>Machine Learning in Data Mining</P><P></P><P>6. </B></I>Digital image processing using Wavelets Basic principles and application</P><P></P><P>7. Placements Probability Predictor Using Data Mining Techniques</P><P></P><P>8. Big Data Summarization using Modified Fuzzy Clustering Algorithm, Semantic Feature and Data Compression Approach</P><P></P><P>9. Topic specific Natural Language Chatbot as General Advisor for College</P><P></P><B><I><P>Machine Learning in IoT</P><P></P></B></I><P>10. Implementing Ubiquitous Environment In Museum</P><P></P><P>11. Implementation of Machine Learning in Education Sector: Analyzing causes behind average student grades</P><P></P><P>12. Traffic Zone Warning and Violation Detection using Mobile Computing</P><P></P><B><I><P>Machine Learning in security</P></B></I><P></P><P>13. A Comparative Analysis and Discussion of Email Spam Classification Methods using Machine Learning Techniques</P><P></P><P>14. Malware Prevention and Detection System for SmartPhone: A Machine Learning Approach</P><P></P><P>15. Spam Review Detection and Recommendation of Correct Outcomes Based on Appropriate Reviews</P><P></P><P>Index</P><P></P>