Applied machine learning for smart data analysis

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Titel
Applied machine learning for smart data analysis
verantwortlich
Dey, Nilanjan (HerausgeberIn); Wagh, Sanjeev (HerausgeberIn); Mahalle, Parikshit N. (HerausgeberIn); Pathan, Mohd. Shafi (HerausgeberIn)
veröffentlicht
Boca Raton, London, New York: CRC Press, Taylor & Francis Group, [2019]
©2019
Erscheinungsjahr
2019
Teil von
Computational Intelligence in Engineering Problem Solving
Erscheint auch als
Applied machine learning for smart data analysis, Boca Raton : CRC Press, Taylor & Francis Group, 2019, xviii, 225 Seiten
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Applied machine learning for smart data analysis
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author2 Dey, Nilanjan, Wagh, Sanjeev, Mahalle, Parikshit N., Pathan, Mohd. Shafi
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contents Section I. Machine learning -- Hindi and Urdu to English named entity statistical machine transliteration using source language word origin context -- Anti-depression psychotherapist Chatbot for exam and study-related stress -- Plagiasil : a plagiarism detector based on MAS scalable framework for research effort evaluation by unsupervised machine learning - hybrid plagiarism model -- Section II. Machine learning in data mining -- Digital image processing using wavelets : basic principles and application -- Probability predictor using data-mining techniques -- Big data summarization using modified fuzzy clustering algorithm, semantic feature, and data compression approach -- Topic-specific natural language Chatbot as General Advisor for college -- Section III. Machine learning in IoT -- Implementation of machine learning in the education sector : analyzing the causes behind average student guides -- Priority-based message-forwarding scheme in VANET with intelligent navigation -- Section IV. Machine learning in security -- A comparative analysis and discussion of email spam classification methods using machine learning techniques -- Malware prevention and detection system for smartphone : a machine learning approach.
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spelling Applied machine learning for smart data analysis edited by Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan, Boca Raton London New York CRC Press, Taylor & Francis Group [2019], ©2019, 1 Online-Ressource Illustrationen, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Computational Intelligence in Engineering Problem Solving, Section I. Machine learning -- Hindi and Urdu to English named entity statistical machine transliteration using source language word origin context -- Anti-depression psychotherapist Chatbot for exam and study-related stress -- Plagiasil : a plagiarism detector based on MAS scalable framework for research effort evaluation by unsupervised machine learning - hybrid plagiarism model -- Section II. Machine learning in data mining -- Digital image processing using wavelets : basic principles and application -- Probability predictor using data-mining techniques -- Big data summarization using modified fuzzy clustering algorithm, semantic feature, and data compression approach -- Topic-specific natural language Chatbot as General Advisor for college -- Section III. Machine learning in IoT -- Implementation of machine learning in the education sector : analyzing the causes behind average student guides -- Priority-based message-forwarding scheme in VANET with intelligent navigation -- Section IV. Machine learning in security -- A comparative analysis and discussion of email spam classification methods using machine learning techniques -- Malware prevention and detection system for smartphone : a machine learning approach., Machine learning Industrial applications, Internet of things, Systems engineering Data processing, Data mining Industrial applications, Electronic data processing, Decision support systems, Decision Support Systems, Management, Data mining ; Industrial applications, Electronic books, COMPUTERS / General, COMPUTERS / Database Management / Data Mining, COMPUTERS / Machine Theory, TECHNOLOGY / Electricity, s (DE-588)4428654-5 (DE-627)216935180 (DE-576)212347217 Data Mining gnd, s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd, s (DE-588)7713781-4 (DE-627)633870307 (DE-576)327984538 Internet der Dinge gnd, s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd, (DE-627), Dey, Nilanjan 1984- HerausgeberIn (DE-588)1104273500 (DE-627)861751094 (DE-576)470909684 edt, Wagh, Sanjeev HerausgeberIn edt, Mahalle, Parikshit N. HerausgeberIn edt, Pathan, Mohd. Shafi HerausgeberIn edt, 9781138339798 hardback, Erscheint auch als Druck-Ausgabe Applied machine learning for smart data analysis Boca Raton : CRC Press, Taylor & Francis Group, 2019 xviii, 225 Seiten (DE-627)1027599362 9781138339798, https://doi.org/10.1201/9780429440953 Verlag Volltext, https://www.taylorfrancis.com/books/9780429440953 X:TFG Verlag lizenzpflichtig Volltext
spellingShingle Applied machine learning for smart data analysis, Section I. Machine learning -- Hindi and Urdu to English named entity statistical machine transliteration using source language word origin context -- Anti-depression psychotherapist Chatbot for exam and study-related stress -- Plagiasil : a plagiarism detector based on MAS scalable framework for research effort evaluation by unsupervised machine learning - hybrid plagiarism model -- Section II. Machine learning in data mining -- Digital image processing using wavelets : basic principles and application -- Probability predictor using data-mining techniques -- Big data summarization using modified fuzzy clustering algorithm, semantic feature, and data compression approach -- Topic-specific natural language Chatbot as General Advisor for college -- Section III. Machine learning in IoT -- Implementation of machine learning in the education sector : analyzing the causes behind average student guides -- Priority-based message-forwarding scheme in VANET with intelligent navigation -- Section IV. Machine learning in security -- A comparative analysis and discussion of email spam classification methods using machine learning techniques -- Malware prevention and detection system for smartphone : a machine learning approach., Machine learning Industrial applications, Internet of things, Systems engineering Data processing, Data mining Industrial applications, Electronic data processing, Decision support systems, Decision Support Systems, Management, Data mining ; Industrial applications, Electronic books, COMPUTERS / General, COMPUTERS / Database Management / Data Mining, COMPUTERS / Machine Theory, TECHNOLOGY / Electricity, Data Mining, Maschinelles Lernen, Internet der Dinge, Datenanalyse
title Applied machine learning for smart data analysis
title_auth Applied machine learning for smart data analysis
title_full Applied machine learning for smart data analysis edited by Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan
title_fullStr Applied machine learning for smart data analysis edited by Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan
title_full_unstemmed Applied machine learning for smart data analysis edited by Nilanjan Dey, Sanjeev Wagh, Parikshit N. Mahalle, Mohd. Shafi Pathan
title_short Applied machine learning for smart data analysis
title_sort applied machine learning for smart data analysis
title_unstemmed Applied machine learning for smart data analysis
topic Machine learning Industrial applications, Internet of things, Systems engineering Data processing, Data mining Industrial applications, Electronic data processing, Decision support systems, Decision Support Systems, Management, Data mining ; Industrial applications, Electronic books, COMPUTERS / General, COMPUTERS / Database Management / Data Mining, COMPUTERS / Machine Theory, TECHNOLOGY / Electricity, Data Mining, Maschinelles Lernen, Internet der Dinge, Datenanalyse
topic_facet Machine learning, Internet of things, Systems engineering, Data mining, Electronic data processing, Decision support systems, Decision Support Systems, Management, Data mining ; Industrial applications, Electronic books, COMPUTERS / General, COMPUTERS / Database Management / Data Mining, COMPUTERS / Machine Theory, TECHNOLOGY / Electricity, Industrial applications, Data processing, Data Mining, Maschinelles Lernen, Internet der Dinge, Datenanalyse
url https://doi.org/10.1201/9780429440953, https://www.taylorfrancis.com/books/9780429440953
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