"Machine Learning in Crowd Flow Exit Data (Survey)"

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Book	Author(s)	Year	Publisher
Data Management in Machine Learning Systems	Matthias Boehm; Arun Kumar; Jun Yang		Springer International Publishing
Missing Data Problems in Machine Learning	Benjamin M. Marlin
Machine, Platform, Crowd	Andrew McAfee, Erik Brynjolfsson	2017	W. W. Norton & Co
Machine Learning and Data Mining	I. Kononenko and M. Kukar	2007	Woodhead Publishing
Advances in Machine Learning and Data Analysis	Mahyar Amouzegar	2010	Springer Netherlands
Machine Learning Paradigms: Advances in Data Analytics	George A. Tsihrintzis; Dionisios N. Sotiropoulos; Lakhmi C. Jain	1st ed. 2019	Springer International Publishing
Data Mining and Machine Learning in Cybersecurity	Sumeet Dua; Xian Du	2011	Routledge
Machine Learning for Big Data Analysis	Siddhartha Bhattacharyya; Hrishikesh Bhaumik; Anirban Mukherjee; Sourav De	2019	De Gruyter
Data Mining and Machine Learning Applications	Kapil Kumar Nagwanshi; Rohit Raja; Sandeep Kumar; K. Ramya Laxmi	2022	John Wiley & Sons
Big Data and Machine Learning in Quantitative Investment	Tony Guida	2019	John Wiley & Sons
Data Analytics in Bioinformatics - A Machine Learning Perspective	Rabinarayan Satpathy; Tanupriya Choudhury; Suneeta Satpathy; Sachi Nandan Mohanty; Xiaobo Zhang	2021	John Wiley & Sons
Machine Learning and Data Mining in Aerospace Technology	Aboul Ella Hassanien; Ashraf Darwish; Hesham El-Askary	1st ed. 2020	Springer International Publishing
Rhythmic Advantages in Big Data and Machine Learning	Anirban Bandyopadhyay; Kanad Ray	1st ed. 2022	Springer Nature Singapore
Advances in Machine Learning for Big Data Analysis	Satchidananda Dehuri; Yen-Wei Chen	1st ed. 2022	Springer Nature Singapore
machine learning approach to following trace particles in turbulent flow	Randel Allan Crowe	1977
Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data	Željko Ivezic; Andrew J. Connolly; Jacob T VanderPlas; Alexander Gray	2014	Princeton University Press
Data Classification and Incremental Clustering in Data Mining and Machine Learning	Sanjay Chakraborty; Sk Hafizul Islam; Debabrata Samanta	1st ed. 2022	Springer International Publishing
Big data et machine learning: manuel du data scientist	Pirmin Lemberger, Marc Batty, Médéric Morel, Jean-Luc Raffaëlli	2015	Dunod
Big data et machine learning: manuel du data scientist	Batty, Marc; Delattre, Michel; Lemberger, Pirmin; Morel, Médéric; Raffaëlli, Jean-Luc	2015	Dunod
Data Preparation for Machine Learning - Data Cleaning, Feature Selection, and Data	Jason Brownlee	2020	machine learning mastery
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Machine Learning in Crowd Flow Exit Data (Survey)	F. Patricia Medina	Advances in Mathematical Sciences: AWM Research Symposium, Houston, TX, April 2019	Bahar Acu; Donatella Danielli; Marta Lewicka; Arati Pati; Saraswathy RV; Miranda Teboh-Ewungkem	1st ed. 2020	Springer International Publishing
Machine Learning Data	Zoltán Somogyi	The Application of Artificial Intelligence: Step-by-Step Guide from Beginner to Expert	Zoltán Somogyi	1st ed. 2021	Springer International Publishing
EXIT SURVEY (EXIT INTERVIEW)		Encyclopedia of Industrial and Organizational Psychology (2 volume set)	Steven G. Rogelberg	2006	Sage Publications, Inc
Flow-Field Survey Data	Allen E. Winkelmann	Handbook of Flow Visualization	Wen Jei Yang	2001	Routledge
Machine Learning in Data Mining		Applied Machine Learning for Smart Data Analysis	Nilanjan Dey; Sanjeev Wagh; Parikshit N. Mahalle; Mohd. Shafi Pathan	2019	Routledge
Detecting Bad Answers in Survey Data Through Unsupervised Machine Learning	Najeeb Moharram Jebreel; Rami Haffar; Ashneet Khandpur Singh; David Sánchez; Josep Domingo-Ferrer; Alberto Blanco-Justicia	Privacy in Statistical Databases: UNESCO Chair in Data Privacy, International Conference, PSD 2020, Tarragona, Spain, September 23–25, 2020, Proceedings	Josep Domingo-Ferrer; Krishnamurty Muralidhar	1st ed. 2020	Springer International Publishing
Machine Learning Techniques: A Survey	Herleen Kour; Naveen Gondhi	Innovative Data Communication Technologies and Application: ICIDCA 2019	Jennifer S. Raj; Abul Bashar; S. R. Jino Ramson	1st ed. 2020	Springer International Publishing
Crowd learning	Sharples Mike	Practical Pedagogy: 40 New Ways to Teach and Learn	Mike Sharples	2019	Routledge
A Survey of Machine Learning in Healthcare	S. Sathyanarayanan; Sanjay Chitnis	Artificial Intelligence Applications for Health Care	Mitul Kumar Ahirwal; Narendra D. Londhe; Anil Kumar	2022	Routledge
Brief Survey on Machine Learning in Epistasis	Davide Chicco; Trent Faultless	Epistasis: Methods and Protocols	Ka-Chun Wong	1st ed. 2021	Springer US
Machine Learning Training Data		Big Data Analysis Using Machine Learning for Social Scientists and Criminologists	Juyoung Song	2019	Cambridge Scholars Publishing
Using Machine Learning Data		The Secret Life of Programs: Understand Computers — Craft Better Code	Jonathan E. Steinhart	2019	No Starch Press
Using Machine Learning Data		The secret life of programs: understand computers - craft better code	Steinhart, Jonathan E	2019	No Starch Press
Machine Learning and Data		Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends	Viviana E. Ferraggine, Jorge H. Doorn, Laura C. Rivero, Viviana E. Ferraggine, Jorge H. Doorn, Laura C. Rivero	2009	Information Science Reference
Scale Machine Learning Data		Machine Learning Algorithms From Scratch: With Phython	Jason Brownlee	2018	Independently Published
Big Data & Machine Learning		Atlas of Digital Architecture	Ludger Hovestadt; Urs Hirschberg; Oliver Fritz	2020	Birkhäuser
A Survey of Machine Learning Methods for Big Data	Zoila Ruiz; Jaime Salvador; Jose Garcia-Rodriguez	Biomedical Applications Based on Natural and Artificial Computing: International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part II	José Manuel Ferrández Vicente; José Ramón Álvarez-Sánchez; Félix de la Paz López; Javier Toledo Moreo; Hojjat Adeli	1st ed. 2017	Springer International Publishing
Machine learning for flow compression	Máté Tömösközi	Computing in Communication Networks	Fabrizio Granelli; Frank Fitzek andPatrick Seeling	2020	Academic Press
Learning Data Flow Modeling		Empirical Cloud Security: Practical Intelligence to Evaluate Risks and Attacks	Aditya K. Sood	2021	Mercury Learning and Information
Data Handling Approach for Machine Learning in Wireless Communication: A Survey	Niranjan S. Kulkarni; Sanjay L. Nalbalwar; Anil B. Nandgaonkar	Applied Information Processing Systems: Proceedings of ICCET 2021	Brijesh Iyer; Debashis Ghosh; Valentina Emilia Balas	1st ed. 2022	Springer Nature Singapore
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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