"Architecture Recovery of Legacy Software Systems Using Unsupervised Machine Learning Techniques"

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Book	Author(s)	Year	Publisher
R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3. 5	Dr. Sunil Kumar Chinnamgari	2019	Packt Publishing
R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3. 5	Dr. Sunil Kumar Chinnamgari	2019	Packt Publishing
A methodology for software cost estimation using machine learning techniques	Michael A. Kelly	1993	Naval Postgraduate School;Available from the National Technical Information Service
Fraud Analytics Using Supervised, Unsupervised and Social Network Learning Techniques	Bart Baesens	2015	John Wiley & Sons
Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning	Taeho Jo	1st ed. 2021	Springer International Publishing
Machine Learning with Go Quick Start Guide: Hands-on techniques for building supervised and unsupervised machine learning workflows	Michael Bironneau, Toby Coleman	2019	Packt Publishing
Design of Intelligent Applications Using Machine Learning and Deep Learning Techniques	Ramchandra S. Mangrulkar; Antonis Michalas; Narendra M. Shekokar; Meera Narvekar; Pallavi V. Chavan	2021	Routledge
Semi-Supervised and Unsupervised Machine Learning: Novel Strategies	Amparo Albalate	2011	John Wiley & Sons
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data	Ankur A. Patel	2019	O'Reilly Media
Reengineering legacy software systems /	Miller, Howard W.	[1998], ©1998.	Digital Press,
Machine Learning Using R	Karthik Ramasubramanian; Abhishek Singh	1st ed.	Apress
Machine Learning using Python	Manaranjan Pradhan	2019	WILEY INDIA
Software Architecture with C++ - Design modern systems using effective architecture concepts, design patterns, and techniques with C++20	Adrian Ostrowski, Piotr Gaczkowski	2021	Packt
Unsupervised Learning Algorithms	M. Emre Celebi, Kemal Aydin (eds.)	2016	Springer International Publishing
Unsupervised Learning Algorithms	M. Emre Celebi; Kemal Aydin	1st ed. 2016	Springer International Publishing
Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques	Abdulhamit Subasi	2019	Academic Press
Model-Driven Software Migration: A Methodology: Reengineering, Recovery and Modernization of Legacy Systems	Christian Wagner	2014	Springer Fachmedien Wiesbaden
Software systems architecture: working with stakeholders using viewpoints and perspectives	Rozanski, Nick; Woods, Eoin	2012	Addison-Wesley
Software systems architecture working with stakeholders using viewpoints and perspectives	Rozanski, Nick; Woods, Eoin	2005;2010	Addison-Wesley
Ensemble Machine Learning Cookbook: Over 35 practical recipes to explore ensemble machine learning techniques using Python	Dipayan Sarkar, Vijayalakshmi Natarajan	2019	Packt Publishing
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Software Reliability Prediction Using Machine Learning Techniques	Arunima Jaiswal; Ruchika Malhotra	Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015, Volume 1	Millie Pant; Kusum Deep; Jagdish Chand Bansal; Atulya Nagar; Kedar Nath Das	1st ed. 2016	Springer Nature Singapore
Software Effort Estimation Using Machine Learning Techniques	Ripu Ranjan Sinha; Rajani Kumari Gora	Advances in Information Communication Technology and Computing: Proceedings of AICTC 2019	Vishal Goar; Manoj Kuri; Rajesh Kumar; Tomonobu Senjyu	1st ed. 2021	Springer Nature Singapore
Software Quality Prediction Using Machine Learning Techniques	Somya Goyal; Pradeep Kumar Bhatia	Innovations in Computational Intelligence and Computer Vision: Proceedings of ICICV 2020	Manoj Kumar Sharma; Vijaypal Singh Dhaka; Thinagaran Perumal; Nilanjan Dey; João Manuel R. S. Tavares	1st ed. 2021	Springer Nature Singapore
Software Fault Prediction Using Machine-Learning Techniques	Deepak Sharma; Pravin Chandra	Smart Computing and Informatics: Proceedings of the First International Conference on SCI 2016, Volume 2	Suresh Chandra Satapathy; Vikrant Bhateja; Swagatam Das	1st ed. 2018	Springer Nature Singapore
Analysis of Software Vulnerabilities Using Machine Learning Techniques	Doffou Jerome Diako; Odilon Yapo M. Achiepo; Edoete Patrice Mensah	e-Infrastructure and e-Services for Developing Countries: 11th EAI International Conference, AFRICOMM 2019, Porto-Novo, Benin, December 3–4, 2019, Proceedings	Rafik Zitouni; Max Agueh; Pélagie Houngue; Hénoc Soude	1st ed. 2020	Springer International Publishing
Chapter 3: Unsupervised Machine Learning Techniques		Mastering Java Machine Learning	Kamath, Dr Uday	2017	Packt Publishing
Unsupervised Machine Learning	Umesh R. Hodeghatta; Umesh Nayak	Business Analytics Using R - A Practical Approach	Umesh R Hodeghatta; Umesha Nayak	1st ed.	Apress
Unsupervised Machine Learning	R. Gentleman; V. J. Carey	Bioconductor Case Studies	Florian Hahne; Wolfgang Huber; Robert Gentleman; Seth Falcon	2008	Springer New York
Unsupervised Machine Learning	Pak Chung Wong	Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment: With Examples in R and Python	Alina A. von Davier; Robert J. Mislevy; Jiangang Hao	1st ed. 2021	Springer International Publishing
Unsupervised machine learning		IBM Watson Solutions for Machine Learning: Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects Using Watson Cognitive Tools (English Edition)	Arindam Ganguly	2021	BPB Publications
Unsupervised machine learning		Microsoft Azure Essentials Azure Machine Learning
Unsupervised Machine Learning		Python Machine Learning. A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.	Josh Hugh Learning	2019
Unsupervised machine learning		Java for data science: examine the techniques and Java tools supporting the growing field of data science	Reese, Jennifer L.; Reese, Richard M	2017	Packt Publishing
Unsupervised Machine Learning		Python: deeper insights into machine learning: leverage benefits of machine learning techniques using Python: a course in three modules	Raschka, Sebastian; Julian, David; Hearty, John	2016	Packt Publishing
Unsupervised machine learning		Practical Big Data Analytics	Nataraj Dasgupta	2018	Packt Publishing
Unsupervised Machine Learning		The Political Logics of Anticorruption Efforts in Asia	Cheng Chen and Meredith L. Weiss	2019	State University of New York Press
Unsupervised machine learning		Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3. 7	Alberto Fernandez Villan	2019	Packt Publishing
Unsupervised Machine Learning		Advanced machine learning with Python: solve challenging data science problems by mastering cutting-edge machine learning techniques in Python /	Hearty, John,		Packt Publishing - ebooks Account
Unsupervised machine learning.		R for data science cookbook: over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques /	Chiu, David.		Packt Publishing, Limited
Machine Learning (Unsupervised)	Shailesh Kumar	Essentials of Business Analytics: An Introduction to the Methodology and its Applications	Bhimasankaram Pochiraju; Sridhar Seshadri	1st ed. 2019	Springer International Publishing
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