Ubiquitous Machine Learning and Its Applications

Ubiquitous Machine Learning and Its Applications

Pradeep Kumar (Maulana Azad National Urdu University, India) and Arvind Tiwari (DIT University, India)
Indexed In: SCOPUS View 1 More Indices
Release Date: March, 2017|Copyright: © 2017 |Pages: 259
ISBN13: 9781522525455|ISBN10: 1522525459|EISBN13: 9781522525462|DOI: 10.4018/978-1-5225-2545-5


Constant improvements in technological applications have allowed for more opportunities to develop automated systems. This not only leads to higher success in smart data analysis, but also ensures that technological progression will continue.

Ubiquitous Machine Learning and its Applications is a pivotal reference source for the latest research on the issues and challenges machines face in the new millennium. Featuring extensive coverage on relevant areas such as computational advertising, software engineering, and bioinformatics, this publication is an ideal resource for academicians, graduate students, engineering professionals, and researchers interested in discovering how they can apply these advancements to various disciplines.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Adaptive Websites
  • Affect Computing
  • Bioinformatics
  • Computational Advertising
  • Computational Finance
  • Software Engineering
  • Syntactic Pattern Recognition

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Pradeep Kumar is an Associate Professor in the Department of Computer Science & Information Technology at Maulana Azad National Urdu University, Hyderabad, India. He received his Master’s degree in Computer Technology and Applications from Delhi Technological University, formerly Delhi College of Engineering, Delhi University. He completed his Ph.D. from the University School of Information & Communication Technology (USICT), Guru Gobind Singh Indraprastha University (GGSIPU), Delhi. His research interests include software reliability engineering, models for software metrics, machine learning, neural network modeling and soft computing. He has more than 25 publications in journals of international repute including national journals, conferences and proceedings of the international conferences. He is a Member of Association for Computing Machines (ACM), India, Member of Computer Science Teachers Association (CSTA), USA, Senior Member of International Association of Engineers (IAENG), Member of International Association of Computer Science and Information Technology (IACSIT), Singapore and Senior member of Universal Association of Computer and Electronics Engineers (UACEE). He is a member of editorial board for various national and international journals in the field of software engineering and program committee member/reviewer for several international conferences.